Repository: DashAISoftware/DashAI (language: python)

Issue:
Validation flow refactoring
# Summary

<!--
Include a short summary of the changes made to the platforn and list any dependencies
of the pr - Required.
-->
Modified the validation and transformation flow of the component parameters. Now these steps are executed by the component within it's init method.

## Type of change

<!-- Indicate the type of change. Delete those that do not apply  - Required -->

- Refactoring.

## Changes

<!--
Indicate the changes/fixes that you want to merge - Required.

- Bug 1
- Bug 2
- Feature 1
- Feature 2
-->
- Adds the _validate_and_transform_ method inside ConfigObject, to perform the validation and transformation of the component's params.
- Refactor the _fill_objects_ function so that it is not recursive, now it is not necessary.
- Refactor JobModel, now it is not in charge of validating and transforming the params of the model.
- Refactor all init methods in models.
- Refactor tests that used configurable components, now it's required to fill all the params.
- Refactor _test_schemas_ to make validation within dummy components.

## How to Test

<!--
Describe the tests or executions that you ran to verify your changes and provide
instructions to reproduce them - Required.
-->
Run `pytest tests\back\schemas\test_schemas.py` and `pytest tests\back\models\test_numerical_wrapper.py`



Discussion / hints:

Fix patch:
diff --git a/DashAI/back/config_object.py b/DashAI/back/config_object.py
index 6d9fadad..b994e8e9 100644
--- a/DashAI/back/config_object.py
+++ b/DashAI/back/config_object.py
@@ -1,32 +1,51 @@
-import json
-import os
+from DashAI.back.core.schema_fields.base_schema import (
+    BaseSchema,
+    replace_defs_in_schema,
+)
+from DashAI.back.core.schema_fields.utils import fill_objects
 
-from DashAI.back.core.enums.squema_types import SquemaTypes
 
-curr_path = os.path.dirname(os.path.realpath(__file__))
-dashai_path = os.path.dirname(curr_path)
+class ConfigObject:
+    """Abstract class that all the DashAI components inherits."""
 
-dict_squemas = {
-    SquemaTypes.model: os.path.join(
-        dashai_path, "back/models/parameters/models_schemas/"
-    ),
-    SquemaTypes.preprocess: os.path.join(
-        dashai_path, "back/models/parameters/preprocess_schemas"
-    ),
-    SquemaTypes.dataloader: os.path.join(
-        dashai_path, "back/dataloaders/params_schemas/"
-    ),
-    SquemaTypes.task: os.path.join(dashai_path, "back/tasks/tasks_schemas/"),
-}
+    SCHEMA: BaseSchema = BaseSchema
 
+    @classmethod
+    def get_schema(cls) -> dict:
+        """Generates the component related Json Schema.
 
-class ConfigObject:
-    @staticmethod
-    def get_squema(type, name):
-        try:
-            with open(f"{dict_squemas[type]}{name}.json") as f:
-                return json.load(f)
-
-        except FileNotFoundError:
-            with open(f"{dict_squemas[type]}{name.lower()}.json"):
-                return json.load(f)
+        Returns
+        --------
+        dict
+            Dictionary representing the Json Schema of the component.
+        """
+        schema = cls.SCHEMA.model_json_schema()
+        return replace_defs_in_schema(schema)
+
+    def validate_and_transform(self, raw_data: dict) -> dict:
+        """It takes the data given by the user to initialize the model and
+        returns it with all the objects that the model needs to work.
+
+        To do this this function has two steps:
+        - Validates the raw_data against the model schema,
+        this process may throw a ValidatationError exception.
+        - It transforms the validated data,
+        changing the promised objects by the initialized objects.
+
+        Parameters
+        --------
+        raw_data : dict
+            A dictionary with the data provided by the user to initialize the model.
+
+        Returns
+        --------
+        dict
+            A validated dictionary with the necessary objects.
+
+        Raises
+        ------
+        ValidationError
+            If the given data does not follow the schema associated with the model.
+        """
+        schema_instance = self.SCHEMA.model_validate(raw_data)
+        return fill_objects(schema_instance)
diff --git a/DashAI/back/containers.py b/DashAI/back/containers.py
index bed778e9..7337b24e 100644
--- a/DashAI/back/containers.py
+++ b/DashAI/back/containers.py
@@ -8,6 +8,7 @@
 from DashAI.back.metrics import F1, Accuracy, Bleu, Precision, Recall
 from DashAI.back.models import (
     SVC,
+    BagOfWordsTextClassificationModel,
     DecisionTreeClassifier,
     DistilBertTransformer,
     DummyClassifier,
@@ -59,6 +60,7 @@ class Container(containers.DeclarativeContainer):
             DistilBertTransformer,
             ViTTransformer,
             OpusMtEnESTransformer,
+            BagOfWordsTextClassificationModel,
             # Dataloaders
             CSVDataLoader,
             JSONDataLoader,
diff --git a/DashAI/back/core/schema_fields/__init__.py b/DashAI/back/core/schema_fields/__init__.py
new file mode 100644
index 00000000..f5a073e7
--- /dev/null
+++ b/DashAI/back/core/schema_fields/__init__.py
@@ -0,0 +1,12 @@
+# flake8: noqa
+from DashAI.back.core.schema_fields.base_schema import BaseSchema
+from DashAI.back.core.schema_fields.bool_field import bool_field
+from DashAI.back.core.schema_fields.component_field import component_field
+from DashAI.back.core.schema_fields.enum_field import enum_field
+from DashAI.back.core.schema_fields.float_field import float_field
+from DashAI.back.core.schema_fields.int_field import int_field
+from DashAI.back.core.schema_fields.none_type import none_type
+from DashAI.back.core.schema_fields.schema_field import schema_field
+from DashAI.back.core.schema_fields.string_field import string_field
+from DashAI.back.core.schema_fields.union_type import union_type
+from DashAI.back.core.schema_fields.utils import fill_objects
diff --git a/DashAI/back/core/schema_fields/base_schema.py b/DashAI/back/core/schema_fields/base_schema.py
new file mode 100644
index 00000000..cb4839e5
--- /dev/null
+++ b/DashAI/back/core/schema_fields/base_schema.py
@@ -0,0 +1,16 @@
+from pydantic import BaseModel
+
+
+def replace_defs_in_schema(schema: dict):
+    if "$defs" in schema:
+        for prop in schema["properties"]:
+            if "$ref" in schema["properties"][prop]:
+                _, _, def_name = schema["properties"][prop]["$ref"].split("/")
+                schema["properties"][prop] = schema["$defs"][def_name]
+                schema["properties"][prop]["title"] = prop.title().replace("_", " ")
+        schema.pop("$defs")
+    return schema
+
+
+class BaseSchema(BaseModel):
+    pass
diff --git a/DashAI/back/core/schema_fields/bool_field.py b/DashAI/back/core/schema_fields/bool_field.py
new file mode 100644
index 00000000..dc9ccd02
--- /dev/null
+++ b/DashAI/back/core/schema_fields/bool_field.py
@@ -0,0 +1,12 @@
+from typing import Type
+
+
+def bool_field() -> Type[bool]:
+    """Function to create a pydantic-like boolean type.
+
+    Returns
+    -------
+    type[bool]
+        A pydantic-like type to represent the boolean.
+    """
+    return bool
diff --git a/DashAI/back/core/schema_fields/component_field.py b/DashAI/back/core/schema_fields/component_field.py
new file mode 100644
index 00000000..9698ac59
--- /dev/null
+++ b/DashAI/back/core/schema_fields/component_field.py
@@ -0,0 +1,75 @@
+from typing import Any, Type
+
+from pydantic import BaseModel, Field, GetCoreSchemaHandler, GetJsonSchemaHandler
+from pydantic.json_schema import JsonSchemaValue
+from pydantic_core import core_schema
+from typing_extensions import Annotated
+
+
+class ComponentType(BaseModel):
+    component: str
+    params: dict
+
+
+def _component_type_factory(parent: str) -> Type[ComponentType]:
+    """Factory function to create a ComponentType parameterized by
+    the component parent.
+    It overwrites the schema of the model in order to show the parent field
+    and avoid the $defs definitions.
+
+    Parameters
+    ----------
+    parent: str
+        The name of the parent class of the component.
+
+    Returns
+    -------
+    type[ComponentType]
+        A pydantic-like type to represent the component.
+    """
+
+    class ComponentTypeWithParent(ComponentType):
+        component: str
+        params: dict
+
+        @classmethod
+        def __get_pydantic_core_schema__(
+            cls, source_type: Any, handler: GetCoreSchemaHandler
+        ) -> core_schema.CoreSchema:
+            return core_schema.typed_dict_schema(
+                {
+                    "component": core_schema.typed_dict_field(core_schema.str_schema()),
+                    "params": core_schema.typed_dict_field(core_schema.dict_schema()),
+                },
+            )
+
+        @classmethod
+        def __get_pydantic_json_schema__(
+            cls, core_schema: core_schema.CoreSchema, handler: GetJsonSchemaHandler
+        ) -> JsonSchemaValue:
+            json_schema = handler(core_schema)
+            json_schema = handler.resolve_ref_schema(json_schema)
+            json_schema["parent"] = parent
+            return json_schema
+
+    return ComponentTypeWithParent
+
+
+def component_field(parent: str) -> Type[ComponentType]:
+    """Function to create a custom pydantic-like type to support components.
+
+    Parameters
+    ----------
+    parent: str
+        The name of the parent class of the component.
+        Is used to select the components to show to the user.
+
+    Returns
+    -------
+    type[ComponentType]
+        A pydantic-like type to represent the component.
+    """
+    return Annotated[
+        _component_type_factory(parent),
+        Field(),
+    ]
diff --git a/DashAI/back/core/schema_fields/enum_field.py b/DashAI/back/core/schema_fields/enum_field.py
new file mode 100644
index 00000000..5e8a3327
--- /dev/null
+++ b/DashAI/back/core/schema_fields/enum_field.py
@@ -0,0 +1,86 @@
+from typing import Callable, List, Type
+
+from pydantic import AfterValidator, GetJsonSchemaHandler
+from pydantic.json_schema import JsonSchemaValue
+from pydantic_core import core_schema
+from typing_extensions import Annotated
+
+
+def __check_choices(enum: List[str]) -> Callable[[str], str]:
+    """Factory to create custom validator for enum field.
+    Checks if the input str is in the enum.
+
+    Parameters
+    ----------
+    enum: List[str]
+        All the posible string values of the param.
+
+    Returns
+    -------
+    Callable[str, str]
+        A function that checks if the string is within the possible values specified
+        in the enum.
+    """
+
+    def check_str_in_enum(x: str) -> str:
+        if x not in enum:
+            raise ValueError(f"{x} is not in the enum")
+        return x
+
+    return check_str_in_enum
+
+
+class EnumField:
+    pass
+
+
+def _enum_field_factory(enum: List[str]) -> Type[EnumField]:
+    """Factory function to create a EnumField parameterized by
+    the enum list.
+    It overwrites the schema of the model in order to show the enum field.
+    Parameters
+    ----------
+    enum: List[str]
+        All the posible string values of the field.
+    Returns
+    -------
+    type[StringField]
+        A pydantic-like type to represent a string.
+    """
+
+    class EnumFieldWithEnum(EnumField):
+        @classmethod
+        def __get_pydantic_json_schema__(
+            cls, core_schema: core_schema.CoreSchema, handler: GetJsonSchemaHandler
+        ) -> JsonSchemaValue:
+            json_schema = handler(core_schema)
+            json_schema = handler.resolve_ref_schema(json_schema)
+            json_schema["enum"] = enum
+            return json_schema
+
+    return EnumFieldWithEnum
+
+
+def enum_field(enum: List[str]) -> Type[str]:
+    """Function to create a pydantic-like strings enum type.
+
+    Parameters
+    ----------
+    enum: List[str]
+        All the posible string values of the field.
+
+    Returns
+    -------
+    type[str]
+        A pydantic-like type to represent the enum of strings.
+
+    Raises
+    ------
+    ValidationError
+        If the value of the field is not in the enum list.
+    """
+    return Annotated[
+        str,
+        _enum_field_factory(enum),
+        AfterValidator(__check_choices(enum)),
+    ]
diff --git a/DashAI/back/core/schema_fields/float_field.py b/DashAI/back/core/schema_fields/float_field.py
new file mode 100644
index 00000000..4bc449c5
--- /dev/null
+++ b/DashAI/back/core/schema_fields/float_field.py
@@ -0,0 +1,46 @@
+from typing import Optional, Type
+
+from pydantic import Field
+from typing_extensions import Annotated
+
+
+def float_field(
+    ge: Optional[float] = None,
+    gt: Optional[float] = None,
+    le: Optional[float] = None,
+    lt: Optional[float] = None,
+) -> Type[float]:
+    """Function to create a pydantic-like float type.
+
+    Parameters
+    ----------
+    ge: Optional[float]
+        An optional float that the value should be greater than or equal to.
+        If not provided, there is no lower limit.
+    gt: Optional[float]
+        An optional float that the value should be strictly greater than.
+        If not provided, there is no strict lower limit.
+    le: Optional[float]
+        An optional float that the value should be less than or equal to.
+        If not provided, there is no upper limit.
+    lt: Optional[float]
+        An optional float that the value should be strictly less than.
+        If not provided, there is no strict upper limit.
+
+    Returns
+    -------
+    type[float]
+        A pydantic-like type to represent the float.
+
+    Raises
+    ------
+    ValidationError
+        If the value of the field is less than the minimum.
+    ValidationError
+        If the value of the field is less or equal than the exclusive minimum.
+    ValidationError
+        If the value of the field is greater than the maximum.
+    ValidationError
+        If the value of the field is greater or equal than the exclusive maximum.
+    """
+    return Annotated[float, Field(ge=ge, gt=gt, le=le, lt=lt)]
diff --git a/DashAI/back/core/schema_fields/int_field.py b/DashAI/back/core/schema_fields/int_field.py
new file mode 100644
index 00000000..7cc6c38a
--- /dev/null
+++ b/DashAI/back/core/schema_fields/int_field.py
@@ -0,0 +1,46 @@
+from typing import Optional, Type
+
+from pydantic import Field
+from typing_extensions import Annotated
+
+
+def int_field(
+    ge: Optional[int] = None,
+    gt: Optional[int] = None,
+    le: Optional[int] = None,
+    lt: Optional[int] = None,
+) -> Type[int]:
+    """Function to create a pydantic-like integer type.
+
+    Parameters
+    ----------
+    ge: Optional[int]
+        An optional integer that the value should be greater than or equal to.
+        If not provided, there is no lower limit.
+    gt: Optional[int]
+        An optional integer that the value should be strictly greater than.
+        If not provided, there is no strict lower limit.
+    le: Optional[int]
+        An optional integer that the value should be less than or equal to.
+        If not provided, there is no upper limit.
+    lt: Optional[int]
+        An optional integer that the value should be strictly less than.
+        If not provided, there is no strict upper limit.
+
+    Returns
+    -------
+    type[int]
+        A pydantic-like type to represent the integer.
+
+    Raises
+    ------
+    ValidationError
+        If the value of the field is less than the minimum.
+    ValidationError
+        If the value of the field is less or equal than the exclusive minimum.
+    ValidationError
+        If the value of the field is greater than the maximum.
+    ValidationError
+        If the value of the field is greater or equal than the exclusive maximum.
+    """
+    return Annotated[int, Field(ge=ge, gt=gt, le=le, lt=lt)]
diff --git a/DashAI/back/core/schema_fields/none_type.py b/DashAI/back/core/schema_fields/none_type.py
new file mode 100644
index 00000000..22808369
--- /dev/null
+++ b/DashAI/back/core/schema_fields/none_type.py
@@ -0,0 +1,7 @@
+from typing import Optional, Type, TypeVar
+
+T = TypeVar("T")
+
+
+def none_type(t: T) -> Type[Optional[T]]:
+    return Optional[t]
diff --git a/DashAI/back/core/schema_fields/schema_field.py b/DashAI/back/core/schema_fields/schema_field.py
new file mode 100644
index 00000000..cb7b3878
--- /dev/null
+++ b/DashAI/back/core/schema_fields/schema_field.py
@@ -0,0 +1,27 @@
+from typing import Type, TypeVar
+
+from pydantic import Field
+from typing_extensions import Annotated
+
+T = TypeVar("T")
+
+
+def schema_field(t: T, placeholder: T, description: str) -> Type[T]:
+    """Function to create a schema field of type T.
+
+    Parameters
+    ----------
+    description: str
+        A string that describes the field.
+    placeholder: T
+        The value that will be displayed to the user.
+
+    Returns
+    -------
+    type[T]
+        A pydantic-like type to represent the schema field.
+    """
+    return Annotated[
+        t,
+        Field(description=description, json_schema_extra={"placeholder": placeholder}),
+    ]
diff --git a/DashAI/back/core/schema_fields/string_field.py b/DashAI/back/core/schema_fields/string_field.py
new file mode 100644
index 00000000..ef3515e7
--- /dev/null
+++ b/DashAI/back/core/schema_fields/string_field.py
@@ -0,0 +1,13 @@
+from typing import Type
+
+
+def string_field() -> Type[str]:
+    """Function to create a pydantic-like string type.
+    The created type will accept any string given by the user.
+
+    Returns
+    -------
+    type[str]
+        A pydantic-like type to represent a raw string.
+    """
+    return str
diff --git a/DashAI/back/core/schema_fields/union_type.py b/DashAI/back/core/schema_fields/union_type.py
new file mode 100644
index 00000000..ba73c2c0
--- /dev/null
+++ b/DashAI/back/core/schema_fields/union_type.py
@@ -0,0 +1,8 @@
+from typing import Type, TypeVar, Union
+
+T = TypeVar("T")
+V = TypeVar("V")
+
+
+def union_type(t1: T, t2: V) -> Type[Union[T, V]]:
+    return Union[t1, t2]
diff --git a/DashAI/back/core/schema_fields/utils.py b/DashAI/back/core/schema_fields/utils.py
new file mode 100644
index 00000000..8ebf167a
--- /dev/null
+++ b/DashAI/back/core/schema_fields/utils.py
@@ -0,0 +1,53 @@
+from dependency_injector.wiring import Provide, inject
+
+from DashAI.back.core.schema_fields.base_schema import BaseSchema
+
+
+@inject
+def fill_objects(
+    schema_instance: BaseSchema,
+    component_registry=Provide["component_registry"],
+) -> dict:
+    """Fills in the schema instance, replacing the component fields with the
+    target component. Returns the dumped dictionary of the schema instance.
+
+    This function transforms all fields of the component into actual components.
+    To do this, the component type is looked up in the component registry and
+    instantiated using the corresponding parameters.
+
+    Example
+    ----------
+    If the input schema_instance has a dict value:
+
+    ```python
+    schema_instance = {
+        "dict_field": {"component": "ComponentName", "params": {}},
+        "other_field": 1,
+    }
+    ```
+    The function will transform it into:
+    ```python
+    schema_instance = {"dict_field": ComponentName(), "other_field": 1}
+    ```
+    Replacing the dictionary with a class instance and not modifying the other fields.
+
+    Parameters
+    ----------
+    schema_instance : BaseSchema
+        An instance of a component schema, constructed using the user's
+        parameters.
+
+    Returns
+    -------
+    dict
+        The dictionary representation of the schema instance
+        with the components filled in.
+    """
+    schema_params = schema_instance.model_dump()
+    for field_name, field_value in schema_params.items():
+        if isinstance(field_value, dict) and {"component", "params"}.issubset(
+            set(field_value.keys())
+        ):
+            component_class = component_registry[field_value["component"]]["class"]
+            schema_params[field_name] = component_class(**field_value["params"])
+    return schema_params
diff --git a/DashAI/back/dataloaders/classes/csv_dataloader.py b/DashAI/back/dataloaders/classes/csv_dataloader.py
index eef6f6bb..96f2da7d 100644
--- a/DashAI/back/dataloaders/classes/csv_dataloader.py
+++ b/DashAI/back/dataloaders/classes/csv_dataloader.py
@@ -8,13 +8,52 @@
 from datasets import DatasetDict, load_dataset
 from starlette.datastructures import UploadFile
 
-from DashAI.back.dataloaders.classes.dataloader import BaseDataLoader
+from DashAI.back.core.schema_fields import (
+    bool_field,
+    enum_field,
+    none_type,
+    schema_field,
+    string_field,
+)
+from DashAI.back.core.schema_fields.base_schema import BaseSchema
+from DashAI.back.dataloaders.classes.dataloader import (
+    BaseDataLoader,
+    DataloaderMoreOptionsSchema,
+    DatasetSplitsSchema,
+)
+
+
+class CSVDataloaderSchema(BaseSchema):
+    name: schema_field(
+        none_type(string_field()),
+        "",
+        (
+            "Custom name to register your dataset. If no name is specified, "
+            "the name of the uploaded file will be used."
+        ),
+    )  # type: ignore
+    separator: schema_field(
+        enum_field([",", ";", "\u0020", "\t"]),
+        ",",
+        "A separator character delimits the data in a CSV file.",
+    )  # type: ignore
+    splits_in_folders: schema_field(
+        bool_field(),
+        False,
+        (
+            "If your data has folders that define the splits select 'true', "
+            "otherwise 'false'."
+        ),
+    )  # type: ignore
+    splits: DatasetSplitsSchema
+    more_options: DataloaderMoreOptionsSchema
 
 
 class CSVDataLoader(BaseDataLoader):
     """Data loader for tabular data in CSV files."""
 
     COMPATIBLE_COMPONENTS = ["TabularClassificationTask"]
+    SCHEMA = CSVDataloaderSchema
 
     def _check_params(
         self,
diff --git a/DashAI/back/dataloaders/classes/dataloader.py b/DashAI/back/dataloaders/classes/dataloader.py
index 95347d18..03b32997 100644
--- a/DashAI/back/dataloaders/classes/dataloader.py
+++ b/DashAI/back/dataloaders/classes/dataloader.py
@@ -1,9 +1,7 @@
 """DashAI base class for dataloaders."""
 
 import io
-import json
 import logging
-import os
 import zipfile
 from abc import abstractmethod
 from typing import Any, Dict, Final, Union
@@ -12,10 +10,71 @@
 from starlette.datastructures import UploadFile
 
 from DashAI.back.config_object import ConfigObject
+from DashAI.back.core.schema_fields import (
+    bool_field,
+    float_field,
+    int_field,
+    schema_field,
+)
+from DashAI.back.core.schema_fields.base_schema import BaseSchema
 
 logger = logging.getLogger(__name__)
 
 
+class DatasetSplitsSchema(BaseSchema):
+    train_size: schema_field(
+        float_field(ge=0.0, le=1.0),
+        0.7,
+        (
+            "The training set contains the data to be used for training a model. "
+            "Must be defined between 0 and 100% of the data."
+        ),
+    )  # type: ignore
+    test_size: schema_field(
+        float_field(ge=0.0, le=1.0),
+        0.2,
+        (
+            "The test set contains the data that will be used to evaluate a model. "
+            "Must be defined between 0 and 100% of the data."
+        ),
+    )  # type: ignore
+    val_size: schema_field(
+        float_field(ge=0.0, le=1.0),
+        0.1,
+        (
+            "The validation set contains the data to be used to validate a model. "
+            "Must be defined between 0 and 100% of the data."
+        ),
+    )  # type: ignore
+
+
+class DataloaderMoreOptionsSchema(BaseSchema):
+    shuffle: schema_field(
+        bool_field(),
+        True,
+        (
+            "Determines whether the data will be shuffle when defining the sets or "
+            "not. It must be true for shuffle the data, otherwise false."
+        ),
+    )  # type: ignore
+    seed: schema_field(
+        int_field(ge=0),
+        0,
+        (
+            "A seed defines a value with which the same mixture of data will always "
+            "be obtained. It must be an integer greater than or equal to 0."
+        ),
+    )  # type: ignore
+    stratify: schema_field(
+        bool_field(),
+        False,
+        (
+            "Defines whether the data will be proportionally separated according to "
+            "the distribution of classes in each set."
+        ),
+    )  # type: ignore
+
+
 class BaseDataLoader(ConfigObject):
     """Abstract class with base methods for DashAI dataloaders."""
 
@@ -47,25 +106,6 @@ def load_data(
         """
         raise NotImplementedError
 
-    @classmethod
-    def get_schema(cls) -> Dict[str, Any]:
-        """Load the JSON schema asocciated to the dataloader."""
-        try:
-            dir_path = os.path.dirname(os.path.realpath(__file__))
-            parent_dir = os.path.dirname(dir_path)
-            with open(
-                f"{parent_dir}/description_schemas/{cls.__name__}.json",
-            ) as f:
-                schema = json.load(f)
-            return schema
-
-        except FileNotFoundError:
-            logger.exception(
-                f"Could not load the schema for {cls.__name__} : File DashAI/back"
-                f"/dataloaders/description_schemas/{cls.__name__}.json not found.",
-            )
-            return {}
-
     def extract_files(self, dataset_path: str, file: UploadFile) -> str:
         """Extract the files to load the data in a DataDict later.
 
diff --git a/DashAI/back/dataloaders/classes/json_dataloader.py b/DashAI/back/dataloaders/classes/json_dataloader.py
index 5dbeaab8..9e7afb2d 100644
--- a/DashAI/back/dataloaders/classes/json_dataloader.py
+++ b/DashAI/back/dataloaders/classes/json_dataloader.py
@@ -8,7 +8,44 @@
 from datasets import DatasetDict, load_dataset
 from starlette.datastructures import UploadFile
 
-from DashAI.back.dataloaders.classes.dataloader import BaseDataLoader
+from DashAI.back.core.schema_fields import (
+    bool_field,
+    none_type,
+    schema_field,
+    string_field,
+)
+from DashAI.back.core.schema_fields.base_schema import BaseSchema
+from DashAI.back.dataloaders.classes.dataloader import (
+    BaseDataLoader,
+    DataloaderMoreOptionsSchema,
+    DatasetSplitsSchema,
+)
+
+
+class JSONDataloaderSchema(BaseSchema):
+    name: schema_field(
+        none_type(string_field()),
+        "",
+        (
+            "Custom name to register your dataset. If no name is specified, "
+            "the name of the uploaded file will be used."
+        ),
+    )  # type: ignore
+    data_key: schema_field(
+        string_field(),
+        "data",
+        "Name of key that contains the data in the JSON files.",
+    )  # type: ignore
+    splits_in_folders: schema_field(
+        bool_field(),
+        False,
+        (
+            "If your data has folders that define the splits select 'true', "
+            "otherwise 'false'."
+        ),
+    )  # type: ignore
+    splits: DatasetSplitsSchema
+    more_options: DataloaderMoreOptionsSchema
 
 
 class JSONDataLoader(BaseDataLoader):
@@ -19,6 +56,7 @@ class JSONDataLoader(BaseDataLoader):
         "TextClassificationTask",
         "TranslationTask",
     ]
+    SCHEMA = JSONDataloaderSchema
 
     def _check_params(self, params: Dict[str, Any]) -> None:
         if "data_key" not in params:
diff --git a/DashAI/back/models/__init__.py b/DashAI/back/models/__init__.py
index 695a47d5..f0207e1a 100644
--- a/DashAI/back/models/__init__.py
+++ b/DashAI/back/models/__init__.py
@@ -5,6 +5,9 @@
     OpusMtEnESTransformer,
 )
 from DashAI.back.models.hugging_face.vit_transformer import ViTTransformer
+from DashAI.back.models.scikit_learn.bow_text_classification_model import (
+    BagOfWordsTextClassificationModel,
+)
 from DashAI.back.models.scikit_learn.decision_tree_classifier import (
     DecisionTreeClassifier,
 )
diff --git a/DashAI/back/models/base_model.py b/DashAI/back/models/base_model.py
index b5a8529c..37e81984 100644
--- a/DashAI/back/models/base_model.py
+++ b/DashAI/back/models/base_model.py
@@ -1,27 +1,19 @@
 """Base Model abstract class."""
 
-import json
-import os
 from abc import ABCMeta, abstractmethod
-from typing import Any, Dict, Final
+from typing import Any, Final
 
 from DashAI.back.config_object import ConfigObject
 
 
 class BaseModel(ConfigObject, metaclass=ABCMeta):
-    """
-    Abstract class of all machine learning models.
+    """Abstract class of all machine learning models.
 
     All models must extend this class and implement save and load methods.
     """
 
     TYPE: Final[str] = "Model"
 
-    # TODO implement a check_params method to check the params
-    #  using the JSON schema file.
-    # TODO implement a method to check the initialization of TASK
-    #  an task params variables.
-
     @abstractmethod
     def save(self, filename: str) -> None:
         """Store an instance of a model.
@@ -38,12 +30,3 @@ def load(self, filename: str) -> Any:
         filename (Str): Indicates where the model was stored.
         """
         raise NotImplementedError
-
-    @classmethod
-    def get_schema(cls) -> Dict[str, Any]:
-        dir_path = os.path.dirname(os.path.realpath(__file__))
-        with open(
-            f"{dir_path}/parameters/models_schemas/{cls.__name__}.json",
-            encoding="utf-8",
-        ) as f:
-            return json.load(f)
diff --git a/DashAI/back/models/classes/numerical_wrapper_for_text.py b/DashAI/back/models/classes/numerical_wrapper_for_text.py
deleted file mode 100644
index 8e26d3ca..00000000
--- a/DashAI/back/models/classes/numerical_wrapper_for_text.py
+++ /dev/null
@@ -1,42 +0,0 @@
-import json
-
-from sklearn.feature_extraction.text import CountVectorizer
-
-from DashAI.back.models import SklearnLikeModel
-from DashAI.back.models.text_classification_model import TextClassificationModel
-
-
-class NumericalWrapperForText(TextClassificationModel, SklearnLikeModel):
-    """Text classification metamodel."""
-
-    MODEL = "numericalwrapperfortext"
-    with open(f"DashAI/back/models/parameters/models_schemas/{MODEL}.json") as f:
-        SCHEMA = json.load(f)
-
-    def __init__(self, **kwargs) -> None:
-        ngram_min_n = kwargs.pop("ngram_min_n")
-        ngram_max_n = kwargs.pop("ngram_max_n")
-        kwargs["ngram_range"] = (ngram_min_n, ngram_max_n)
-        self.classifier = kwargs.pop("numeric_classifier")
-        self.vectorizer = CountVectorizer(**kwargs)
-
-    def fit(self, x, y):
-        self.classifier.fit(self.vectorizer.fit_transform(x), y)
-
-    def predict(self, x):
-        return self.classifier.predict(self.vectorizer.transform(x))
-
-    def score(self, x, y):
-        return self.classifier.score(self.vectorizer.transform(x), y)
-
-    def get_params(self):
-        ngram_min, ngram_max = self.vectorizer.get_params()["ngram_range"]
-        params_dict = {
-            "numeric_classifier": {
-                "choice": self.classifier.MODEL,
-                **self.classifier.get_params(),
-            },
-            "ngram_min_n": ngram_min,
-            "ngram_max_n": ngram_max,
-        }
-        return params_dict
diff --git a/DashAI/back/models/hugging_face/distilbert_transformer.py b/DashAI/back/models/hugging_face/distilbert_transformer.py
index e2cc125f..327a2218 100644
--- a/DashAI/back/models/hugging_face/distilbert_transformer.py
+++ b/DashAI/back/models/hugging_face/distilbert_transformer.py
@@ -13,9 +13,53 @@
     TrainingArguments,
 )
 
+from DashAI.back.core.schema_fields import (
+    BaseSchema,
+    enum_field,
+    float_field,
+    int_field,
+    schema_field,
+)
 from DashAI.back.models.text_classification_model import TextClassificationModel
 
 
+class DistilBertTransformerSchema(BaseSchema):
+    """Distilbert is a transformer that allows you to classify text in English.
+    The implementation is based on huggingface distilbert-base in the case of
+    the uncased model, i.e. distilbert-base-uncased.
+    """
+
+    num_train_epochs: schema_field(
+        int_field(ge=1),
+        placeholder=3,
+        description="Total number of training epochs to perform.",
+    )  # type: ignore
+    batch_size: schema_field(
+        int_field(ge=1),
+        placeholder=8,
+        description="The batch size per GPU/TPU core/CPU for training",
+    )  # type: ignore
+    learning_rate: schema_field(
+        float_field(ge=0.0),
+        placeholder=5e-5,
+        description="The initial learning rate for AdamW optimizer",
+    )  # type: ignore
+    device: schema_field(
+        enum_field(enum=["gpu", "cpu"]),
+        placeholder="gpu",
+        description="Hardware on which the training is run. If available, GPU is "
+        "recommended for efficiency reasons. Otherwise, use CPU.",
+    )  # type: ignore
+    weight_decay: schema_field(
+        float_field(ge=0.0),
+        placeholder=0.0,
+        description="Weight decay is a regularization technique used in training "
+        "neural networks to prevent overfitting. In the context of the AdamW "
+        "optimizer, the 'weight_decay' parameter is the rate at which the weights of "
+        "all layers are reduced during training, provided that this rate is not zero.",
+    )  # type: ignore
+
+
 class DistilBertTransformer(TextClassificationModel):
     """Pre-trained transformer DistilBERT allowing English text classification.
 
@@ -30,12 +74,15 @@ class DistilBertTransformer(TextClassificationModel):
     [1] https://huggingface.co/docs/transformers/model_doc/distilbert
     """
 
+    SCHEMA = DistilBertTransformerSchema
+
     def __init__(self, model=None, **kwargs):
         """Initialize the transformer model.
 
         The process includes the instantiation of the pre-trained model and the
         associated tokenizer.
         """
+        kwargs = self.validate_and_transform(kwargs)
         self.model_name = "distilbert-base-uncased"
         self.tokenizer = DistilBertTokenizer.from_pretrained(self.model_name)
         self.model = (
diff --git a/DashAI/back/models/hugging_face/opus_mt_en_es_transformer.py b/DashAI/back/models/hugging_face/opus_mt_en_es_transformer.py
index cdae38bd..02a5c200 100644
--- a/DashAI/back/models/hugging_face/opus_mt_en_es_transformer.py
+++ b/DashAI/back/models/hugging_face/opus_mt_en_es_transformer.py
@@ -12,21 +12,67 @@
     Seq2SeqTrainingArguments,
 )
 
+from DashAI.back.core.schema_fields import (
+    BaseSchema,
+    enum_field,
+    float_field,
+    int_field,
+    schema_field,
+)
 from DashAI.back.models.translation_model import TranslationModel
 
 
+class OpusMtEnESTransformerSchema(BaseSchema):
+    """opus-mt-en-es is a transformer pre-trained model that allows translation of
+    texts from English to Spanish.
+    """
+
+    num_train_epochs: schema_field(
+        int_field(ge=1),
+        placeholder=1,
+        description="Total number of training epochs to perform.",
+    )  # type: ignore
+    batch_size: schema_field(
+        int_field(ge=1),
+        placeholder=16,
+        description="The batch size per GPU/TPU core/CPU for training",
+    )  # type: ignore
+    learning_rate: schema_field(
+        float_field(ge=0.0),
+        placeholder=2e-5,
+        description="The initial learning rate for AdamW optimizer",
+    )  # type: ignore
+    device: schema_field(
+        enum_field(enum=["gpu", "cpu"]),
+        placeholder="gpu",
+        description="Hardware on which the training is run. If available, GPU is "
+        "recommended for efficiency reasons. Otherwise, use CPU.",
+    )  # type: ignore
+    weight_decay: schema_field(
+        float_field(ge=0.0),
+        placeholder=0.01,
+        description="Weight decay is a regularization technique used in training "
+        "neural networks to prevent overfitting. In the context of the AdamW "
+        "optimizer, the 'weight_decay' parameter is the rate at which the weights of "
+        "all layers are reduced during training, provided that this rate is not zero.",
+    )  # type: ignore
+
+
 class OpusMtEnESTransformer(TranslationModel):
     """Pre-trained transformer for english-spanish translation.
 
     This model fine-tunes the pre-trained model opus-mt-en-es.
     """
 
+    SCHEMA = OpusMtEnESTransformerSchema
+
     def __init__(self, model=None, **kwargs):
         """Initialize the transformer.
 
         This process includes the instantiation of the pre-trained model and the
         associated tokenizer.
         """
+        kwargs = self.validate_and_transform(kwargs)
         self.model_name = "Helsinki-NLP/opus-mt-en-es"
         self.tokenizer = AutoTokenizer.from_pretrained(self.model_name)
         if model is None:
diff --git a/DashAI/back/models/hugging_face/vit_transformer.py b/DashAI/back/models/hugging_face/vit_transformer.py
index 3e1797a1..c8ab5e45 100644
--- a/DashAI/back/models/hugging_face/vit_transformer.py
+++ b/DashAI/back/models/hugging_face/vit_transformer.py
@@ -13,9 +13,50 @@
     ViTForImageClassification,
 )
 
+from DashAI.back.core.schema_fields import (
+    BaseSchema,
+    enum_field,
+    float_field,
+    int_field,
+    schema_field,
+)
 from DashAI.back.models.image_classification_model import ImageClassificationModel
 
 
+class ViTTransformerSchema(BaseSchema):
+    """ViT is a transformer that allows you to classify text in English."""
+
+    num_train_epochs: schema_field(
+        int_field(ge=1),
+        placeholder=3,
+        description="Total number of training epochs to perform.",
+    )  # type: ignore
+    batch_size: schema_field(
+        int_field(ge=1),
+        placeholder=8,
+        description="The batch size per GPU/TPU core/CPU for training",
+    )  # type: ignore
+    learning_rate: schema_field(
+        float_field(ge=0.0),
+        placeholder=5e-5,
+        description="The initial learning rate for AdamW optimizer",
+    )  # type: ignore
+    device: schema_field(
+        enum_field(enum=["gpu", "cpu"]),
+        placeholder="gpu",
+        description="Hardware on which the training is run. If available, GPU is "
+        "recommended for efficiency reasons. Otherwise, use CPU.",
+    )  # type: ignore
+    weight_decay: schema_field(
+        float_field(ge=0.0),
+        placeholder=0.0,
+        description="Weight decay is a regularization technique used in training "
+        "neural networks to prevent overfitting. In the context of the AdamW "
+        "optimizer, the 'weight_decay' parameter is the rate at which the weights of "
+        "all layers are reduced during training, provided that this rate is not zero.",
+    )  # type: ignore
+
+
 class ViTTransformer(ImageClassificationModel):
     """Pre-trained Vision Transformer (ViT) for image classification.
 
@@ -28,12 +69,15 @@ class ViTTransformer(ImageClassificationModel):
     [2] https://huggingface.co/docs/transformers/model_doc/vit
     """
 
+    SCHEMA = ViTTransformerSchema
+
     def __init__(self, model=None, **kwargs):
         """Initialize the transformer.
 
         This process includes the instantiation of the pre-trained model and the
         associated feature extractor.
         """
+        kwargs = self.validate_and_transform(kwargs)
         self.model_name = "google/vit-base-patch16-224"
         self.feature_extractor = ViTFeatureExtractor.from_pretrained(self.model_name)
         self.model = (
diff --git a/DashAI/back/models/parameters/models_schemas/DecisionTreeClassifier.json b/DashAI/back/models/parameters/models_schemas/DecisionTreeClassifier.json
deleted file mode 100644
index 2be363c2..00000000
--- a/DashAI/back/models/parameters/models_schemas/DecisionTreeClassifier.json
+++ /dev/null
@@ -1,64 +0,0 @@
-{
-  "additionalProperties": false,
-  "error_msg": "The parameters for DecisionTreeClassifier should be one of ['criterion', 'max_depth', 'min_samples_split', 'min_samples_leaf', 'max_features'].",
-  "description": "Decision Trees are a set of are a non-parametric supervised learning method that learns simple decision rules (structured as a tree) inferred from the data features.",
-  "properties": {
-    "criterion": {
-      "oneOf": [
-        {
-          "error_msg": "The 'penalty' parameter should be one of 'gini', 'entropy' or 'log_loss'.",
-          "description": "The function to measure the quality of a split. Supported criteria are “gini” for the Gini impurity and “log_loss” and “entropy” both for the Shannon information gain.",
-          "type": "string",
-          "default": "entropy",
-          "enum": ["entropy", "gini", "log_loss"]
-        }
-      ]
-    },
-    "max_depth": {
-      "oneOf": [
-        {
-          "error_msg": "The 'max_depth' parameter should be an integer greater than or equal than 0.",
-          "description": "The maximum depth of the tree. If None, then nodes are expanded until all leaves are pure or until all leaves contain less than min_samples_split samples.",
-          "type": ["integer", "null"],
-          "default": null,
-          "minimum": 1
-        }
-      ]
-    },
-    "min_samples_split": {
-      "oneOf": [
-        {
-          "error_msg": "The 'min_samples_split' parameter should be a positive integer.",
-          "description": "The minimum number of samples required to split an internal node.",
-          "type": "integer",
-          "default": 2,
-          "minimum": 1
-        }
-      ]
-    },
-    "min_samples_leaf": {
-      "oneOf": [
-        {
-          "error_msg": "The 'min_samples_leaf' parameter should be a interger greater than 0",
-          "description": "The minimum number of samples required to be at a leaf node.",
-          "type": "integer",
-          "default": 1,
-          "minimum": 1
-        }
-      ]
-    },
-    "max_features": {
-      "oneOf": [
-        {
-          "error_msg": "The 'max_features' parameter should be one of 'auto', 'sqrt', 'log2', 'null'.",
-          "description": "The number of features to consider when looking for the best split",
-          "type": ["string", "null"],
-          "default": null,
-          "enum": ["auto", "sqrt", "log2", null],
-          "enumNames": ["auto", "sqrt", "log2", "null"]
-        }
-      ]
-    }
-  },
-  "type": "object"
-}
diff --git a/DashAI/back/models/parameters/models_schemas/DistilBertTransformer.json b/DashAI/back/models/parameters/models_schemas/DistilBertTransformer.json
deleted file mode 100644
index 6d18782e..00000000
--- a/DashAI/back/models/parameters/models_schemas/DistilBertTransformer.json
+++ /dev/null
@@ -1,63 +0,0 @@
-{
-    "additionalProperties": false,
-    "error_msg": "DistilBert parameters must be one(s) of ['epochs', 'batch size', 'weight decay', 'learning_rate', 'device'].",
-    "description": "Distilbert is a transformer that allows you to classify text in English. The implementation is based on huggingface distilbert-base in the case of the uncased model, i.e. distilbert-base-uncased.",
-    "properties": {
-        "num_train_epochs": {
-            "oneOf": [
-                {
-                    "error_msg": "A whole number greater than or equal to 1 must be entered.",
-                    "description": "Total number of training epochs to perform.",
-                    "type": "integer",
-                    "minimum": 1,
-                    "default": 3
-                }
-            ]
-        },
-        "batch_size": {
-            "oneOf": [
-                {
-                    "error_msg": "A whole number greater than or equal to 1 must be entered.",
-                    "description": "The batch size per GPU/TPU core/CPU for training",
-                    "type": "integer",
-                    "minimum": 1,
-                    "default": 8
-                }
-            ]
-        },
-        "learning_rate": {
-            "oneOf": [
-                {
-                    "error_msg": "Must be a positive number. A number between 10e-6 and 1 is recommended.",
-                    "description": "The initial learning rate for AdamW optimizer",
-                    "type": "number",
-                    "minimum": 0,
-                    "default": 5e-5
-                }
-            ]
-        },
-        "device": {
-            "oneOf": [
-                {
-                    "error_msg": "The parameter must be in string format and can be either 'gpu' or 'cpu'.",
-                    "description": "Hardware on which the training is run. If available, GPU is recommended for efficiency reasons. Otherwise, use CPU.",
-                    "type": "string",
-                    "default": "gpu",
-                    "enum": ["gpu", "cpu"]
-                }
-            ]
-        },
-        "weight_decay": {
-            "oneOf": [
-                {
-                    "error_msg": "A number between 0 and 1 must be entered.",
-                    "description": "Weight decay is a regularization technique used in training neural networks to prevent overfitting. In the context of the AdamW optimizer, the 'weight_decay' parameter is the rate at which the weights of all layers are reduced during training, provided that this rate is not zero.",
-                    "type": "number",
-                    "minimum": 0,
-                    "default": 0
-                }
-            ]
-        }
-    },
-    "type": "object"
-}
diff --git a/DashAI/back/models/parameters/models_schemas/DummyClassifier.json b/DashAI/back/models/parameters/models_schemas/DummyClassifier.json
deleted file mode 100644
index ed9a1056..00000000
--- a/DashAI/back/models/parameters/models_schemas/DummyClassifier.json
+++ /dev/null
@@ -1,19 +0,0 @@
-{
-  "additionalProperties": false,
-  "error_msg": "The parameters for DummyClassifier  should be one of ['strategy'].",
-  "description": "DummyClassifier makes predictions that ignore the input features.",
-  "properties": {
-    "strategy": {
-      "oneOf": [
-        {
-          "error_msg": "The 'penalty' parameter should be one of 'most_frequent', 'prior', 'stratified', 'uniform'.",
-          "description": "Strategy to use to generate predictions.",
-          "type": "string",
-          "default": "prior",
-          "enum": ["most_frequent", "prior", "stratified", "uniform"]
-        }
-      ]
-    }
-  },
-  "type": "object"
-}
diff --git a/DashAI/back/models/parameters/models_schemas/HistGradientBoostingClassifier.json b/DashAI/back/models/parameters/models_schemas/HistGradientBoostingClassifier.json
deleted file mode 100644
index 19565113..00000000
--- a/DashAI/back/models/parameters/models_schemas/HistGradientBoostingClassifier.json
+++ /dev/null
@@ -1,74 +0,0 @@
-{
-  "additionalProperties": false,
-  "error_msg": "The parameters for HistGradientBoostingClassifier should be one of ['learning_rate', 'max_iter', 'max_depth', 'max_leaf_nodes', 'min_samples_leaf', 'l2_regularization'].",
-  "description": "A gradient boosting classifier is a machine learning algorithm that combines multiple weak prediction models (typically decision trees) to create a strong predictive model by training the models sequentially, in which each new model is focused on correcting the errors made by the previous ones.",
-  "properties": {
-    "learning_rate": {
-      "oneOf": [
-        {
-          "error_msg": "The 'learning_rate' parameter should be a number greater than 0.0",
-          "description": "The learning rate, also known as shrinkage. This is used as a multiplicative factor for the leaves values. Use 1 for no shrinkage.",
-          "type": "number",
-          "default": 0.1,
-          "minimum": 0.0
-        }
-      ]
-    },
-    "max_iter": {
-      "oneOf": [
-        {
-          "error_msg": "The 'max_iter' parameter should be an integer greater than or equal than 0.",
-          "description": "The maximum number of iterations of the boosting process, i.e. the maximum number of trees for binary classification.",
-          "type": "integer",
-          "default": 100,
-          "minimum": 0
-        }
-      ]
-    },
-    "max_depth": {
-      "oneOf": [
-        {
-          "error_msg": "The 'max_depth' parameter should be an integer greater than or equal than 0.",
-          "description": "The maximum depth of each tree. The depth of a tree is the number of edges to go from the root to the deepest leaf. Depth isn’t constrained by default.",
-          "type": "integer",
-          "default": 1,
-          "minimum": 0
-        }
-      ]
-    },
-    "max_leaf_nodes": {
-      "oneOf": [
-        {
-          "error_msg": "The 'max_leaf_nodes' parameter should be an integer greater than or equal than 0.",
-          "description": "The maximum number of leaves for each tree. Must be strictly greater than 1. If None, there is no maximum limit.",
-          "type": "integer",
-          "default": 31,
-          "minimum": 2
-        }
-      ]
-    },
-    "min_samples_leaf": {
-      "oneOf": [
-        {
-          "error_msg": "The 'min_samples_leaf' parameter should be a interger greater than 0",
-          "description": "The minimum number of samples required to be at a leaf node.",
-          "type": "integer",
-          "default": 20,
-          "minimum": 1
-        }
-      ]
-    },
-    "l2_regularization": {
-      "oneOf": [
-        {
-          "error_msg": "The 'l2_regularization' parameter should be one of 'gini' or 'entropy'.",
-          "description": "The L2 regularization parameter. Use 0 for no regularization.",
-          "type": "number",
-          "default": 0.0,
-          "minimum": 0.0
-        }
-      ]
-    }
-  },
-  "type": "object"
-}
diff --git a/DashAI/back/models/parameters/models_schemas/KNeighborsClassifier.json b/DashAI/back/models/parameters/models_schemas/KNeighborsClassifier.json
deleted file mode 100644
index 3bb3cc19..00000000
--- a/DashAI/back/models/parameters/models_schemas/KNeighborsClassifier.json
+++ /dev/null
@@ -1,41 +0,0 @@
-{
-    "additionalProperties": false,
-    "error_msg": "The parameters for KNN must be one or more of ['k', 's', 'ignore_first_neighbours'].",
-    "description": "KNN is a supervised classification method that determines the probability of an element belonging to a certain class by considering its k closest neighbors.",
-    "properties": {
-        "n_neighbors": {
-            "oneOf": [
-                {
-                    "error_msg": "The 'n_neighbors' parameter must be an integer greater than or equal to 1.",
-                    "description": "The 'n_neighbors' parameter is the number of neighbors to consider in each input for classification. It must be an integer greater than or equal to 1.",
-                    "type": "integer",
-                    "default": 5,
-                    "minimum": 1
-                }
-            ]
-        },
-        "weights": {
-            "oneOf": [
-                {
-                    "error_msg": "The 'weights' parameter must be 'uniform' or 'distance'.",
-                    "description": "The 'weights' parameter must be 'uniform' or 'distance'.",
-                    "type": "string",
-                    "default": "uniform",
-                    "enum": ["uniform", "distance"]
-                }
-            ]
-        },
-        "algorithm": {
-            "oneOf": [
-                {
-                    "error_msg": "The 'algorithm' parameter must be 'auto', 'ball_tree', 'kd_tree', or 'brute'.",
-                    "description": "The 'algorithm' parameter must be 'auto', 'ball_tree', 'kd_tree', or 'brute'.",
-                    "type": "string",
-                    "default": "auto",
-                    "enum": ["auto", "ball_tree", "kd_tree", "brute"]
-                }
-            ]
-        }
-    },
-    "type": "object"
-}
diff --git a/DashAI/back/models/parameters/models_schemas/LogisticRegression.json b/DashAI/back/models/parameters/models_schemas/LogisticRegression.json
deleted file mode 100644
index b04b70ed..00000000
--- a/DashAI/back/models/parameters/models_schemas/LogisticRegression.json
+++ /dev/null
@@ -1,53 +0,0 @@
-{
-  "additionalProperties": false,
-  "error_msg": "The parameters for LogisticRegression should be one of ['penalty', 'tol', 'C', 'fit_intercept'].",
-  "description": "Logistic Regression is a supervised classification method that uses a linear model plus a a logistic funcion to predict binary outcomes (it can be configured as multiclass via the one-vs-rest strategy).",
-  "properties": {
-    "penalty": {
-      "oneOf": [
-        {
-          "error_msg": "The 'penalty' parameter must be null, 'l2', 'l1', 'elasticnet'.",
-          "description": "Specify the norm of the penalty",
-          "type": ["string", "null"],
-          "default": "l2",
-          "enum": [null, "l2", "l1", "elasticnet"],
-          "enumNames": ["null", "l2", "l1", "elasticnet"]
-        }
-      ]
-    },
-    "tol": {
-      "oneOf": [
-        {
-          "error_msg": "The 'tol' parameter should be a number greater than or equal than 0.",
-          "description": "Tolerance for stopping criteria.",
-          "type": "number",
-          "default": 0.0001,
-          "minimum": 0.0
-        }
-      ]
-    },
-    "C": {
-      "oneOf": [
-        {
-          "error_msg": "The 'C' parameter should be a positive number.",
-          "description": "Inverse of regularization strength, smaller values specify stronger regularization. Must be a positive number.",
-          "type": "number",
-          "default": 1.0,
-          "minimum": 0.0
-        }
-      ]
-    },
-    "max_iter": {
-      "oneOf": [
-        {
-          "error_msg": "The 'max_iter' parameter should be a interger greater than 0",
-          "description": "Maximum number of iterations taken for the solvers to converge.",
-          "type": "integer",
-          "default": 100,
-          "minimum": 50
-        }
-      ]
-    }
-  },
-  "type": "object"
-}
diff --git a/DashAI/back/models/parameters/models_schemas/OpusMtEnESTransformer.json b/DashAI/back/models/parameters/models_schemas/OpusMtEnESTransformer.json
deleted file mode 100644
index ac2793ee..00000000
--- a/DashAI/back/models/parameters/models_schemas/OpusMtEnESTransformer.json
+++ /dev/null
@@ -1,63 +0,0 @@
-{
-    "additionalProperties": false,
-    "error_msg": "opus-mt-en-es parameters must be one(s) of ['epochs', 'batch size', 'weight decay', 'learning_rate', 'device'].",
-    "description": "opus-mt-en-es is a transformer pre-trained model that allows translation of texts from English to Spanish.",
-    "properties": {
-        "num_train_epochs": {
-            "oneOf": [
-                {
-                    "error_msg": "You must enter an integer number greater than or equal to 1",
-                    "description": "Number of epochs to fine-tune the model",
-                    "type": "integer",
-                    "minimum": 1,
-                    "default": 1
-                }
-            ]
-        },
-        "batch_size": {
-            "oneOf": [
-                {
-                    "error_msg": "You must enter an integer number greater than or equal to 1",
-                    "description": "Size of the batches with which the training will be carried out",
-                    "type": "integer",
-                    "minimum": 1,
-                    "default": 16
-                }
-            ]
-        },
-        "learning_rate": {
-            "oneOf": [
-                {
-                    "error_msg": "A number between 10e-6 and 1 is recommended",
-                    "description": "Learning rate of the AdamW optimizer",
-                    "type": "number",
-                    "minimum": 0,
-                    "default": 2e-5
-                }
-            ]
-        },
-        "device": {
-            "oneOf": [
-                {
-                    "error_msg": "The 'device' parameter must be a string format and can be 'gpu' or 'cpu'",
-                    "description": "Hardware on which the training is run. If available, GPU is recommended for efficiency reasons. Otherwise, use CPU.",
-                    "type": "string",
-                    "default": "gpu",
-                    "enum": ["gpu", "cpu"]
-                }
-            ]
-        },
-        "weight_decay": {
-            "oneOf": [
-                {
-                    "error_msg": "You must enter a number between 0 and 1",
-                    "description": "Weight decay is a regularization technique used in training neural networks to prevent overfitting. In the context of the AdamW optimizer, the 'weight_decay' parameter is the rate at which the weights of all layers are reduced during training, provided that this rate is not zero.",
-                    "type": "number",
-                    "minimum": 0,
-                    "default": 0.01
-                }
-            ]
-        }
-    },
-    "type": "object"
-}
diff --git a/DashAI/back/models/parameters/models_schemas/RandomForestClassifier.json b/DashAI/back/models/parameters/models_schemas/RandomForestClassifier.json
deleted file mode 100644
index 98d131a9..00000000
--- a/DashAI/back/models/parameters/models_schemas/RandomForestClassifier.json
+++ /dev/null
@@ -1,74 +0,0 @@
-{
-  "additionalProperties": false,
-  "error_msg": "The parameters for random forest must be one or more of ['n_estimators', 'max_depth', 'min_samples_split', 'random_state', 'min_samples_leaf', 'max_leaf_nodes'].",
-  "description": "Random Forest (RF) is an ensemble machine learning algorithm that achieves enhanced performance by combining multiple decision trees and aggregating their outputs.",
-  "properties": {
-    "n_estimators": {
-      "oneOf": [
-        {
-          "error_msg": "The 'n_estimators' parameter must be an integer greater than or equal to 1.",
-          "description": "The 'n_estimators' parameter corresponds to the number of decision trees. It must be an integer greater than or equal to 1.",
-          "type": "integer",
-          "default": 100,
-          "minimum": 1
-        }
-      ]
-    },
-    "max_depth": {
-      "oneOf": [
-        {
-          "error_msg": "The 'max_depth' parameter must be an integer greater than or equal to 1.",
-          "description": "The 'max_depth' parameter corresponds to the maximum depth of the tree. It must be an integer greater than or equal to 1.",
-          "type": ["integer", "null"],
-          "default": null,
-          "minimum": 1
-        }
-      ]
-    },
-    "min_samples_split": {
-      "oneOf": [
-        {
-          "error_msg": "The 'min_samples_split' parameter must be a number greater than or equal to 2.",
-          "description": "The 'min_samples_split' parameter is the minimum number of samples required to split an internal node. It must be a number greater than or equal to 2.",
-          "type": "number",
-          "default": 2,
-          "minimum": 2
-        }
-      ]
-    },
-    "min_samples_leaf": {
-      "oneOf": [
-        {
-          "error_msg": "The 'min_samples_leaf' parameter must be a number greater than or equal to 1.",
-          "description": "The 'min_samples_leaf' parameter is the minimum number of samples required to be at a leaf node. It must be a number greater than or equal to 1.",
-          "type": "number",
-          "default": 1,
-          "minimum": 1
-        }
-      ]
-    },
-    "max_leaf_nodes": {
-      "oneOf": [
-        {
-          "error_msg": "The 'max_leaf_nodes' parameter must be an integer greater than or equal to 2.",
-          "description": "The 'max_leaf_nodes' parameter must be an integer greater than or equal to 2.",
-          "type": ["integer", "null"],
-          "default": null,
-          "minimum": 2
-        }
-      ]
-    },
-    "random_state": {
-      "oneOf": [
-        {
-          "error_msg": "The 'random_state' parameter must be an integer greater than or equal to 0.",
-          "description": "The 'random_state' parameter must be an integer greater than or equal to 0.",
-          "type": ["integer", "null"],
-          "default": null,
-          "minimum": 0
-        }
-      ]
-    }
-  },
-  "type": "object"
-}
diff --git a/DashAI/back/models/parameters/models_schemas/SVC.json b/DashAI/back/models/parameters/models_schemas/SVC.json
deleted file mode 100644
index 16fa5c22..00000000
--- a/DashAI/back/models/parameters/models_schemas/SVC.json
+++ /dev/null
@@ -1,114 +0,0 @@
-{
-  "additionalProperties": false,
-  "error_msg": "SVM parameters must be any one(s) of ['C', 'coef0', 'degree', 'gamma', 'kernel' , 'max_iter', 'probability', 'shrinking', 'tol', 'verbose'].",
-  "description": "Support Vector Machine (SVM) is a machine learning algorithm that separates data into different classes by finding the optimal hyperplane",
-  "properties": {
-    "C": {
-      "oneOf": [
-        {
-          "error_msg": "The parameter 'C' must be of type positive number.",
-          "description": "The parameter 'C' is a regularization parameter. It must be of type positive number.",
-          "type": "number",
-          "exclusiveMinimum": 0,
-          "default": 1
-        }
-      ]
-    },
-    "coef0": {
-      "oneOf": [
-        {
-          "error_msg": "The parameter 'coef0' must be of type number.",
-          "description": "The 'coef0' parameter is a kernel independent value. It is only significant for kernel poly and sigmoid. It must be of type number.",
-          "type": "number",
-          "default": 0
-        }
-      ]
-    },
-    "degree": {
-      "oneOf": [
-        {
-          "error_msg": "The 'degree' parameter must type number",
-          "description": "The parameter 'degree' is the degree of the polynomial for the kernel = 'poly'. It must be of type number.",
-          "type": "number",
-          "default": 3,
-          "minimum": 0
-        }
-      ]
-    },
-    "gamma": {
-      "oneOf": [
-        {
-          "error_msg": "The 'gamma' parameter must be in string format and can be either 'scale' or 'auto'",
-          "description": "Coefficient for 'rbf', 'poly' and 'sigmoid' kernels. Must be in string format and can be 'scale' or 'auto'.",
-          "type": "string",
-          "default": "scale",
-          "enum": ["scale", "auto"]
-        }
-      ]
-    },
-    "kernel": {
-      "oneOf": [
-        {
-          "error_msg": "The 'kernel' parameter must be 'linear', 'poly', 'rbf', 'sigmoid', 'precomputed'",
-          "description": "The 'kernel' parameter is the kernel used in the model. It must be a string equal to 'linear', 'poly', 'rbf', 'sigmoid' or 'precomputed'.",
-          "type": "string",
-          "default": "rbf",
-          "enum": ["linear", "poly", "rbf", "sigmoid"]
-        }
-      ]
-    },
-    "max_iter": {
-      "oneOf": [
-        {
-          "error_msg": "The 'max_iter' parameter must be of type positive integer, -1 to indicate that there is no iteration limit.",
-          "description": "The 'max_iter' parameter determines the iteration limit for the solver. It must be of type positive integer or -1 to indicate no limit.",
-          "type": "integer",
-          "default": -1,
-          "exclusiveMinimum": 0
-        }
-      ]
-    },
-    "probability": {
-      "oneOf": [
-        {
-          "error_msg": "The parameter 'probability' must be of type boolean, it must be 'true' in order to estimate with probabilities.",
-          "description": "The parameter 'probability' indicates whether or not to predict with probabilities. It must be of type boolean.",
-          "type": "boolean",
-          "default": true
-        }
-      ]
-    },
-    "shrinking": {
-      "oneOf": [
-        {
-          "error_msg": "The 'shrinking' parameter must be of type boolean.",
-          "description": "The 'shrinking' parameter determines whether a shrinking heristic is used. It must be of type boolean.",
-          "type": "boolean",
-          "default": true
-        }
-      ]
-    },
-    "tol": {
-      "oneOf": [
-        {
-          "error_msg": "The parameter 'tol' must be of type positive number.",
-          "description": "The parameter 'tol' determines the tolerance for the stop criterion. It must be of type positive number.",
-          "type": "number",
-          "default": 0.001,
-          "exclusiveMinimum": 0
-        }
-      ]
-    },
-    "verbose": {
-      "oneOf": [
-        {
-          "error_msg": "The 'verbose' parameter must be of boolean type.",
-          "description": "The 'verbose' parameter allows to have a verbose output. It must be of type boolean.",
-          "type": "boolean",
-          "default": false
-        }
-      ]
-    }
-  },
-  "type": "object"
-}
diff --git a/DashAI/back/models/parameters/models_schemas/ViTTransformer.json b/DashAI/back/models/parameters/models_schemas/ViTTransformer.json
deleted file mode 100644
index 72d06902..00000000
--- a/DashAI/back/models/parameters/models_schemas/ViTTransformer.json
+++ /dev/null
@@ -1,63 +0,0 @@
-{
-    "additionalProperties": false,
-    "error_msg": "ViT parameters must be one(s) of ['epochs', 'batch size', 'weight decay', 'learning_rate', 'device'].",
-    "description": "ViT is a transformer that allows you to classify text in English.",
-    "properties": {
-        "num_train_epochs": {
-            "oneOf": [
-                {
-                    "error_msg": "A whole number greater than or equal to 1 must be entered.",
-                    "description": "Total number of training epochs to perform.",
-                    "type": "integer",
-                    "minimum": 1,
-                    "default": 3
-                }
-            ]
-        },
-        "batch_size": {
-            "oneOf": [
-                {
-                    "error_msg": "A whole number greater than or equal to 1 must be entered.",
-                    "description": "The batch size per GPU/TPU core/CPU for training",
-                    "type": "integer",
-                    "minimum": 1,
-                    "default": 8
-                }
-            ]
-        },
-        "learning_rate": {
-            "oneOf": [
-                {
-                    "error_msg": "Must be a positive number. A number between 10e-6 and 1 is recommended.",
-                    "description": "The initial learning rate for AdamW optimizer",
-                    "type": "number",
-                    "minimum": 0,
-                    "default": 5e-5
-                }
-            ]
-        },
-        "device": {
-            "oneOf": [
-                {
-                    "error_msg": "The parameter must be in string format and can be either 'gpu' or 'cpu'.",
-                    "description": "Hardware on which the training is run. If available, GPU is recommended for efficiency reasons. Otherwise, use CPU.",
-                    "type": "string",
-                    "default": "gpu",
-                    "enum": ["gpu", "cpu"]
-                }
-            ]
-        },
-        "weight_decay": {
-            "oneOf": [
-                {
-                    "error_msg": "A number between 0 and 1 must be entered.",
-                    "description": "Weight decay is a regularization technique used in training neural networks to prevent overfitting. In the context of the AdamW optimizer, the 'weight_decay' parameter is the rate at which the weights of all layers are reduced during training, provided that this rate is not zero.",
-                    "type": "number",
-                    "minimum": 0,
-                    "default": 0
-                }
-            ]
-        }
-    },
-    "type": "object"
-}
diff --git a/DashAI/back/models/parameters/models_schemas/numericalwrapperfortext.json b/DashAI/back/models/parameters/models_schemas/numericalwrapperfortext.json
deleted file mode 100644
index 31028e97..00000000
--- a/DashAI/back/models/parameters/models_schemas/numericalwrapperfortext.json
+++ /dev/null
@@ -1,40 +0,0 @@
-{
-  "additionalProperties": false,
-  "error_msg": "The parameters of NumericalWrapperForText must be one or more of ['numeric_classifier', 'tokenizer'].",
-  "description": "NumericalWrapperForText is a metamodel that allows text classification using numeric classifiers and a tokenizer.",
-  "properties": {
-    "numeric_classifier": {
-      "oneOf": [
-        {
-          "error_msg": "The 'numeric_classifier' parameter must be a TabularClassificationModel.",
-          "description": "The 'numeric_classifier' parameter determines which model will be used as the underlying model to generate the text classifier.",
-          "type": "class",
-          "parent": "tabularClassificationModel"
-        }
-      ]
-    },
-    "ngram_min_n": {
-      "oneOf": [
-        {
-          "error_msg": "An integer greater than or equal to 1 must be entered.",
-          "description": "Minimum n_gram to use in the vectorizer.",
-          "type": "integer",
-          "minimum": 1,
-          "default": 1
-        }
-      ]
-    },
-    "ngram_max_n": {
-      "oneOf": [
-        {
-          "error_msg": "An integer greater than or equal to 1 must be entered.",
-          "description": "Maximum n_gram to use in the vectorizer.",
-          "type": "integer",
-          "minimum": 1,
-          "default": 1
-        }
-      ]
-    }
-  },
-  "type": "object"
-}
diff --git a/DashAI/back/models/scikit_learn/bow_text_classification_model.py b/DashAI/back/models/scikit_learn/bow_text_classification_model.py
new file mode 100644
index 00000000..706906c1
--- /dev/null
+++ b/DashAI/back/models/scikit_learn/bow_text_classification_model.py
@@ -0,0 +1,132 @@
+from typing import Optional
+
+import numpy as np
+from datasets import Dataset
+from sklearn.feature_extraction.text import CountVectorizer
+
+from DashAI.back.core.schema_fields import (
+    BaseSchema,
+    component_field,
+    int_field,
+    schema_field,
+)
+from DashAI.back.dataloaders.classes.dashai_dataset import DashAIDataset
+from DashAI.back.models.scikit_learn.sklearn_like_model import SklearnLikeModel
+from DashAI.back.models.text_classification_model import TextClassificationModel
+
+
+class BagOfWordsTextClassificationModelSchema(BaseSchema):
+    """
+    NumericalWrapperForText is a metamodel that allows text classification using
+    tabular classifiers and a tokenizer.
+    """
+
+    tabular_classifier: schema_field(
+        component_field(parent="TabularClassificationModel"),
+        placeholder={"component": "SVC", "params": {}},
+        description=(
+            "Tabular model used as the underlying model "
+            "to generate the text classifier."
+        ),
+    )  # type: ignore
+    ngram_min_n: schema_field(
+        int_field(ge=1),
+        placeholder=1,
+        description=(
+            "The lower boundary of the range of n-values for different word n-grams "
+            "or char n-grams to be extracted. It must be an integer greater or equal "
+            "than 1"
+        ),
+    )  # type: ignore
+    ngram_max_n: schema_field(
+        int_field(ge=1),
+        placeholder=1,
+        description=(
+            "The upper boundary of the range of n-values for different word n-grams "
+            "or char n-grams to be extracted. It must be an integer greater or equal "
+            "than 1"
+        ),
+    )  # type: ignore
+
+
+class BagOfWordsTextClassificationModel(TextClassificationModel, SklearnLikeModel):
+    """Text classification meta-model.
+
+    The metamodel has two main components:
+    - Tabular classification model, the underlying model that processes the data and
+      provides the prediction.
+    - Vectorizer, a BagOfWords that vectorizes the text into a sparse matrix to give
+      the correct input to the underlying model.
+
+    The tabular_model and vecotorizer are created in the __init__ method and stored in
+    the model.
+
+    To train the tabular_model the vectorizer is fitted and used to transform the
+    train dataset.
+
+    To predict with the tabular_model the vectorizer is used to transform the dataset.
+    """
+
+    SCHEMA = BagOfWordsTextClassificationModelSchema
+
+    def __init__(self, **kwargs) -> None:
+        kwargs = self.validate_and_transform(kwargs)
+        self.classifier = kwargs["tabular_classifier"]
+        self.vectorizer = CountVectorizer(
+            ngram_range=(kwargs["ngram_min_n"], kwargs["ngram_max_n"])
+        )
+
+    def get_vectorizer(self, input_column: str, output_column: Optional[str] = None):
+        """Factory that returns a function to transform a text classification dataset
+        into a tabular classification dataset.
+
+        To do this, the column "text" is vectorized (using a BagOfWords) into a sparse
+        matrix of size NxM, where N is the number of examples and M is the vocabulary
+        size.
+
+        Each column of the output matrix will be named using the input_column name as
+        prefix and the column number as suffix.
+
+        The output_column is not changed.
+
+        Parameters
+        ----------
+        input_column : str
+            name the input column of the dataset. This column will be vectorized.
+
+        output_column : str
+            name the output column of the dataset.
+
+        Returns
+        -------
+        Function
+            Function for vectorize the dataset.
+        """
+
+        def _vectorize(example) -> dict:
+            vectorized_sentence = self.vectorizer.transform(
+                [example[input_column]]
+            ).toarray()
+            output_example = {}
+            for idx in range(np.shape(vectorized_sentence)[1]):
+                output_example[input_column + str(idx)] = vectorized_sentence[0][idx]
+            return output_example
+
+        return _vectorize
+
+    def fit(self, x: Dataset, y: Dataset):
+        input_column = x.column_names[0]
+
+        self.vectorizer.fit(x[input_column])
+        tokenizer_func = self.get_vectorizer(input_column)
+        tokenized_dataset = x.map(tokenizer_func, remove_columns="text")
+
+        self.classifier.fit(DashAIDataset(tokenized_dataset.data), y)
+
+    def predict(self, x: Dataset):
+        input_column = x.column_names[0]
+
+        tokenizer_func = self.get_vectorizer(input_column)
+        tokenized_dataset = x.map(tokenizer_func, remove_columns="text")
+
+        return self.classifier.predict(DashAIDataset(tokenized_dataset.data))
diff --git a/DashAI/back/models/scikit_learn/decision_tree_classifier.py b/DashAI/back/models/scikit_learn/decision_tree_classifier.py
index 2a69dc6d..b060daee 100644
--- a/DashAI/back/models/scikit_learn/decision_tree_classifier.py
+++ b/DashAI/back/models/scikit_learn/decision_tree_classifier.py
@@ -1,10 +1,61 @@
 from sklearn.tree import DecisionTreeClassifier as _DecisionTreeClassifier
 
+from DashAI.back.core.schema_fields import (
+    BaseSchema,
+    enum_field,
+    int_field,
+    none_type,
+    schema_field,
+)
 from DashAI.back.models.scikit_learn.sklearn_like_model import SklearnLikeModel
 from DashAI.back.models.tabular_classification_model import TabularClassificationModel
 
 
+class DecisionTreeClassifierSchema(BaseSchema):
+    """Decision Trees are a set of are a non-parametric supervised learning method that
+    learns simple decision rules (structured as a tree) inferred from the data features.
+    """
+
+    criterion: schema_field(
+        enum_field(enum=["entropy", "gini", "log_loss"]),
+        placeholder="entropy",
+        description="The function to measure the quality of a split. Supported "
+        "criteria are “gini” for the Gini impurity and “log_loss” and “entropy” both "
+        "for the Shannon information gain.",
+    )  # type: ignore
+    max_depth: schema_field(
+        none_type(int_field(ge=1)),
+        placeholder=None,
+        description="The maximum depth of the tree. If None, then nodes are "
+        "expanded until all leaves are pure or until all leaves contain less than "
+        "min_samples_split samples.",
+    )  # type: ignore
+    min_samples_split: schema_field(
+        int_field(ge=1),
+        placeholder=1,
+        description="The minimum number of samples required to split an internal "
+        "node.",
+    )  # type: ignore
+    min_samples_leaf: schema_field(
+        int_field(ge=1),
+        placeholder=1,
+        description="The minimum number of samples required to be at a leaf node.",
+    )  # type: ignore
+    max_features: schema_field(
+        none_type(enum_field(enum=["auto", "sqrt", "log2"])),
+        placeholder=None,
+        description="The number of features to consider when looking for the best "
+        "split.",
+    )  # type: ignore
+
+
 class DecisionTreeClassifier(
     TabularClassificationModel, SklearnLikeModel, _DecisionTreeClassifier
 ):
     """Scikit-learn's Decision Tree Classifier wrapper for DashAI."""
+
+    SCHEMA = DecisionTreeClassifierSchema
+
+    def __init__(self, **kwargs) -> None:
+        kwargs = self.validate_and_transform(kwargs)
+        super().__init__(**kwargs)
diff --git a/DashAI/back/models/scikit_learn/dummy_classifier.py b/DashAI/back/models/scikit_learn/dummy_classifier.py
index 62bf1830..5df58fea 100644
--- a/DashAI/back/models/scikit_learn/dummy_classifier.py
+++ b/DashAI/back/models/scikit_learn/dummy_classifier.py
@@ -1,8 +1,25 @@
 from sklearn.dummy import DummyClassifier as _DummyClassifier
 
+from DashAI.back.core.schema_fields import BaseSchema, enum_field, schema_field
 from DashAI.back.models.scikit_learn.sklearn_like_model import SklearnLikeModel
 from DashAI.back.models.tabular_classification_model import TabularClassificationModel
 
 
+class DummyClassifierSchema(BaseSchema):
+    "DummyClassifier makes predictions that ignore the input features."
+
+    strategy: schema_field(
+        enum_field(enum=["most_frequent", "prior", "stratified", "uniform"]),
+        placeholder="prior",
+        description="Strategy to use to generate predictions.",
+    )  # type: ignore
+
+
 class DummyClassifier(TabularClassificationModel, SklearnLikeModel, _DummyClassifier):
     """Scikit-learn's DummyClassifier wrapper for DashAI."""
+
+    SCHEMA = DummyClassifierSchema
+
+    def __init__(self, **kwargs) -> None:
+        kwargs = self.validate_and_transform(kwargs)
+        super().__init__(**kwargs)
diff --git a/DashAI/back/models/scikit_learn/hist_gradient_boosting_classifier.py b/DashAI/back/models/scikit_learn/hist_gradient_boosting_classifier.py
index 237ec4b2..d1decb1d 100644
--- a/DashAI/back/models/scikit_learn/hist_gradient_boosting_classifier.py
+++ b/DashAI/back/models/scikit_learn/hist_gradient_boosting_classifier.py
@@ -2,11 +2,68 @@
     HistGradientBoostingClassifier as _HistGradientBoostingClassifier,
 )
 
+from DashAI.back.core.schema_fields import (
+    BaseSchema,
+    float_field,
+    int_field,
+    schema_field,
+)
 from DashAI.back.models.scikit_learn.sklearn_like_model import SklearnLikeModel
 from DashAI.back.models.tabular_classification_model import TabularClassificationModel
 
 
+class HistGradientBoostingClassifierSchema(BaseSchema):
+    """A gradient boosting classifier is a machine learning algorithm that combines
+    multiple weak prediction models (typically decision trees) to create a strong
+    predictive model by training the models sequentially, in which each new model is
+    focused on correcting the errors made by the previous ones.
+    """
+
+    learning_rate: schema_field(
+        float_field(ge=0.0),
+        placeholder=0.1,
+        description="The learning rate, also known as shrinkage. This is used as a "
+        "multiplicative factor for the leaves values. Use 1 for no shrinkage.",
+    )  # type: ignore
+
+    max_iter: schema_field(
+        int_field(ge=0),
+        placeholder=100,
+        description="The maximum number of iterations of the boosting process, i.e. "
+        "the maximum number of trees for binary classification.",
+    )  # type: ignore
+    max_depth: schema_field(
+        int_field(ge=0),
+        placeholder=1,
+        description="The maximum depth of each tree. The depth of a tree is the "
+        "number of edges to go from the root to the deepest leaf. Depth isn’t "
+        "constrained by default.",
+    )  # type: ignore
+    max_leaf_nodes: schema_field(
+        int_field(ge=2),
+        placeholder=31,
+        description="The maximum number of leaves for each tree. Must be strictly "
+        "greater than 1. If None, there is no maximum limit.",
+    )  # type: ignore
+    min_samples_leaf: schema_field(
+        int_field(ge=1),
+        placeholder=20,
+        description="The minimum number of samples required to be at a leaf node.",
+    )  # type: ignore
+    l2_regularization: schema_field(
+        float_field(ge=0.0),
+        placeholder=0.0,
+        description="The L2 regularization parameter. Use 0 for no regularization.",
+    )  # type: ignore
+
+
 class HistGradientBoostingClassifier(
     TabularClassificationModel, SklearnLikeModel, _HistGradientBoostingClassifier
 ):
     """Scikit-learn's HistGradientBoostingRegressor wrapper for DashAI."""
+
+    SCHEMA = HistGradientBoostingClassifierSchema
+
+    def __init__(self, **kwargs) -> None:
+        kwargs = self.validate_and_transform(kwargs)
+        super().__init__(**kwargs)
diff --git a/DashAI/back/models/scikit_learn/k_neighbors_classifier.py b/DashAI/back/models/scikit_learn/k_neighbors_classifier.py
index 39cdf9d0..6a06daf6 100644
--- a/DashAI/back/models/scikit_learn/k_neighbors_classifier.py
+++ b/DashAI/back/models/scikit_learn/k_neighbors_classifier.py
@@ -1,10 +1,47 @@
 from sklearn.neighbors import KNeighborsClassifier as _KNeighborsClassifier
 
+from DashAI.back.core.schema_fields import (
+    BaseSchema,
+    enum_field,
+    int_field,
+    schema_field,
+)
 from DashAI.back.models.scikit_learn.sklearn_like_model import SklearnLikeModel
 from DashAI.back.models.tabular_classification_model import TabularClassificationModel
 
 
+class KNeighborsClassifierSchema(BaseSchema):
+    """KNN is a supervised classification method that determines the probability of
+    an element belonging to a certain class by considering its k closest neighbors.
+    """
+
+    n_neighbors: schema_field(
+        int_field(ge=1),
+        placeholder=5,
+        description="The 'n_neighbors' parameter is the number of neighbors to "
+        "consider in each input for classification. It must be an integer greater "
+        "than or equal to 1.",
+    )  # type: ignore
+    weights: schema_field(
+        enum_field(enum=["uniform", "distance"]),
+        placeholder="uniform",
+        description="The 'weights' parameter must be 'uniform' or 'distance'.",
+    )  # type: ignore
+    algorithm: schema_field(
+        enum_field(enum=["auto", "ball_tree", "kd_tree", "brute"]),
+        placeholder="auto",
+        description="The 'algorithm' parameter must be 'auto', 'ball_tree', "
+        "'kd_tree', or 'brute'.",
+    )  # type: ignore
+
+
 class KNeighborsClassifier(
     TabularClassificationModel, SklearnLikeModel, _KNeighborsClassifier
 ):
     """Scikit-learn's K-Nearest Neighbors (KNN) classifier wrapper for DashAI."""
+
+    SCHEMA = KNeighborsClassifierSchema
+
+    def __init__(self, **kwargs) -> None:
+        kwargs = self.validate_and_transform(kwargs)
+        super().__init__(**kwargs)
diff --git a/DashAI/back/models/scikit_learn/logistic_regression.py b/DashAI/back/models/scikit_learn/logistic_regression.py
index 82904067..e8ce932a 100644
--- a/DashAI/back/models/scikit_learn/logistic_regression.py
+++ b/DashAI/back/models/scikit_learn/logistic_regression.py
@@ -1,10 +1,53 @@
 from sklearn.linear_model import LogisticRegression as _LogisticRegression
 
+from DashAI.back.core.schema_fields import (
+    BaseSchema,
+    enum_field,
+    float_field,
+    int_field,
+    none_type,
+    schema_field,
+)
 from DashAI.back.models.scikit_learn.sklearn_like_model import SklearnLikeModel
 from DashAI.back.models.tabular_classification_model import TabularClassificationModel
 
 
+class LogisticRegressionSchema(BaseSchema):
+    """Logistic Regression is a supervised classification method that uses a linear
+    model plus a a logistic funcion to predict binary outcomes (it can be configured
+    as multiclass via the one-vs-rest strategy).
+    """
+
+    penalty: schema_field(
+        none_type(enum_field(enum=["l2", "l1", "elasticnet"])),
+        placeholder="l2",
+        description="Specify the norm of the penalty",
+    )  # type: ignore
+    tol: schema_field(
+        float_field(ge=0.0),
+        placeholder=0.0001,
+        description="Tolerance for stopping criteria.",
+    )  # type: ignore
+    C: schema_field(
+        float_field(ge=0.0),
+        placeholder=1.0,
+        description="Inverse of regularization strength, smaller values specify "
+        "stronger regularization. Must be a positive number.",
+    )  # type: ignore
+    max_iter: schema_field(
+        int_field(ge=50),
+        placeholder=100,
+        description="Maximum number of iterations taken for the solvers to converge.",
+    )  # type: ignore
+
+
 class LogisticRegression(
     TabularClassificationModel, SklearnLikeModel, _LogisticRegression
 ):
     """Scikit-learn's Logistic Regression wrapper for DashAI."""
+
+    SCHEMA = LogisticRegressionSchema
+
+    def __init__(self, **kwargs) -> None:
+        kwargs = self.validate_and_transform(kwargs)
+        super().__init__(**kwargs)
diff --git a/DashAI/back/models/scikit_learn/random_forest_classifier.py b/DashAI/back/models/scikit_learn/random_forest_classifier.py
index 930c102d..2a11cef5 100644
--- a/DashAI/back/models/scikit_learn/random_forest_classifier.py
+++ b/DashAI/back/models/scikit_learn/random_forest_classifier.py
@@ -1,10 +1,68 @@
 from sklearn.ensemble import RandomForestClassifier as _RandomForestClassifier
 
+from DashAI.back.core.schema_fields import (
+    BaseSchema,
+    int_field,
+    none_type,
+    schema_field,
+)
 from DashAI.back.models.scikit_learn.sklearn_like_model import SklearnLikeModel
 from DashAI.back.models.tabular_classification_model import TabularClassificationModel
 
 
+class RandomForestClassifierSchema(BaseSchema):
+    """Random Forest (RF) is an ensemble machine learning algorithm that achieves
+    enhanced performance by combining multiple decision trees and aggregating their
+    outputs.
+    """
+
+    n_estimators: schema_field(
+        int_field(ge=1),
+        placeholder=100,
+        description="The 'n_estimators' parameter corresponds to the number of "
+        "decision trees. It must be an integer greater than or equal to 1.",
+    )  # type: ignore
+    max_depth: schema_field(
+        none_type(int_field(ge=1)),
+        placeholder=None,
+        description="The 'max_depth' parameter corresponds to the maximum depth of "
+        "the tree. It must be an integer greater than or equal to 1.",
+    )  # type: ignore
+    min_samples_split: schema_field(
+        int_field(ge=2),
+        placeholder=2,
+        description="The 'min_samples_split' parameter is the minimum number of "
+        "samples required to split an internal node. It must be a number greater than "
+        "or equal to 2.",
+    )  # type: ignore
+    min_samples_leaf: schema_field(
+        int_field(ge=1),
+        placeholder=1,
+        description="The 'min_samples_leaf' parameter is the minimum number of "
+        "samples required to be at a leaf node. It must be a number greater than or "
+        "equal to 1.",
+    )  # type: ignore
+    max_leaf_nodes: schema_field(
+        none_type(int_field(ge=2)),
+        placeholder=None,
+        description="The 'max_leaf_nodes' parameter must be an integer greater "
+        "than or equal to 2.",
+    )  # type: ignore
+    random_state: schema_field(
+        none_type(int_field(ge=0)),
+        placeholder=None,
+        description="The 'random_state' parameter must be an integer greater than "
+        "or equal to 0.",
+    )  # type: ignore
+
+
 class RandomForestClassifier(
     TabularClassificationModel, SklearnLikeModel, _RandomForestClassifier
 ):
     """Scikit-learn's Random Forest classifier wrapper for DashAI."""
+
+    SCHEMA = RandomForestClassifierSchema
+
+    def __init__(self, **kwargs) -> None:
+        kwargs = self.validate_and_transform(kwargs)
+        super().__init__(**kwargs)
diff --git a/DashAI/back/models/scikit_learn/svc.py b/DashAI/back/models/scikit_learn/svc.py
index 410c690e..c9add4fb 100644
--- a/DashAI/back/models/scikit_learn/svc.py
+++ b/DashAI/back/models/scikit_learn/svc.py
@@ -1,12 +1,90 @@
 from sklearn.svm import SVC as _SVC
 
+from DashAI.back.core.schema_fields import (
+    BaseSchema,
+    bool_field,
+    enum_field,
+    float_field,
+    int_field,
+    schema_field,
+)
 from DashAI.back.models.scikit_learn.sklearn_like_model import SklearnLikeModel
 from DashAI.back.models.tabular_classification_model import TabularClassificationModel
 
 
+class SVCSchema(BaseSchema):
+    """Support Vector Machine (SVM) is a machine learning algorithm that separates data
+    into different classes by finding the optimal hyperplane
+    """
+
+    C: schema_field(
+        float_field(gt=0.0),
+        placeholder=1.0,
+        description="The parameter 'C' is a regularization parameter. It must be of "
+        "type positive number.",
+    )  # type: ignore
+    coef0: schema_field(
+        float_field(),
+        placeholder=0.0,
+        description="The 'coef0' parameter is a kernel independent value. It is only "
+        "significant for kernel poly and sigmoid. It must be of type number.",
+    )  # type: ignore
+    degree: schema_field(
+        float_field(ge=0.0),
+        placeholder=3.0,
+        description="The parameter 'degree' is the degree of the polynomial for the "
+        "kernel = 'poly'. It must be of type number.",
+    )  # type: ignore
+    gamma: schema_field(
+        enum_field(enum=["scale", "auto"]),
+        placeholder="scale",
+        description="Coefficient for 'rbf', 'poly' and 'sigmoid' kernels. Must be in "
+        "string format and can be 'scale' or 'auto'.",
+    )  # type: ignore
+    kernel: schema_field(
+        enum_field(enum=["linear", "poly", "rbf", "sigmoid"]),
+        placeholder="rbf",
+        description="The 'kernel' parameter is the kernel used in the model. It must "
+        "be a string equal to 'linear', 'poly', 'rbf' or 'sigmoid'.",
+    )  # type: ignore
+    max_iter: schema_field(
+        int_field(ge=-1),
+        placeholder=-1,
+        description="The 'max_iter' parameter determines the iteration limit for the "
+        "solver. It must be of type positive integer or -1 to indicate no limit.",
+    )  # type: ignore
+    probability: schema_field(
+        bool_field(),
+        placeholder=True,
+        description="The parameter 'probability' indicates whether or not to predict "
+        "with probabilities. It must be of type boolean.",
+    )  # type: ignore
+    shrinking: schema_field(
+        bool_field(),
+        placeholder=True,
+        description="The 'shrinking' parameter determines whether a shrinking "
+        "heristic is used. It must be of type boolean.",
+    )  # type: ignore
+    tol: schema_field(
+        float_field(gt=0.0),
+        placeholder=0.001,
+        description="The parameter 'tol' determines the tolerance for the stop "
+        "criterion. It must be of type positive number.",
+    )  # type: ignore
+    verbose: schema_field(
+        bool_field(),
+        placeholder=False,
+        description="The 'verbose' parameter allows to have a verbose output."
+        "It must be of type boolean.",
+    )  # type: ignore
+
+
 class SVC(TabularClassificationModel, SklearnLikeModel, _SVC):
     """Scikit-learn's Support Vector Machine (SVM) classifier wrapper for DashAI."""
 
+    SCHEMA = SVCSchema
+
     def __init__(self, **kwargs):
+        kwargs = self.validate_and_transform(kwargs)
         kwargs["probability"] = True
         super().__init__(**kwargs)
diff --git a/DashAI/front/package.json b/DashAI/front/package.json
index 69b67848..b25404eb 100644
--- a/DashAI/front/package.json
+++ b/DashAI/front/package.json
@@ -14,10 +14,12 @@
     "formik": "^2.2.9",
     "json-server": "^0.17.3",
     "notistack": "^3.0.1",
+    "plotly.js": "^2.30.1",
     "prop-types": "^15.8.1",
     "react": "^18.2.0",
     "react-dom": "^18.2.0",
     "react-is": "^18.2.0",
+    "react-plotly.js": "^2.6.0",
     "react-router-dom": "^6.4.1",
     "react-scripts": "5.0.1",
     "react-uuid": "^1.0.3",
diff --git a/DashAI/front/src/App.jsx b/DashAI/front/src/App.jsx
index ffe01c03..d4d75084 100644
--- a/DashAI/front/src/App.jsx
+++ b/DashAI/front/src/App.jsx
@@ -3,11 +3,9 @@ import React from "react";
 import { BrowserRouter, Route, Routes } from "react-router-dom";
 
 import "./App.css";
-import DatasetsPage from "./pages/DatasetsPage";
-import ExperimentsPage from "./pages/ExperimentPage";
-import RunResults from "./components/results/RunResults";
-import ResultsPage from "./pages/ResultsPage";
-import Home from "./pages/Home";
+import DatasetsPage from "./pages/datasets/Datasets";
+import ExperimentsPage from "./pages/experiments/Experiments";
+import Home from "./pages/home/Home";
 import ResponsiveAppBar from "./components/ResponsiveAppBar";
 
 function App() {
@@ -19,13 +17,6 @@ function App() {
         <Route path="/app" element={<Home />} />
         <Route path="/app/data/" element={<DatasetsPage />} />
         <Route path="/app/experiments" element={<ExperimentsPage />} />
-        <Route path="/app/results">
-          <Route index element={<ResultsPage />} />
-          <Route path="experiments/:id">
-            <Route index element={<ResultsPage />} />
-            <Route path="runs/:id" element={<RunResults />} />
-          </Route>
-        </Route>
       </Routes>
     </BrowserRouter>
   );
diff --git a/DashAI/front/src/components/ResponsiveAppBar.jsx b/DashAI/front/src/components/ResponsiveAppBar.jsx
index 35c188f9..21aa7fa3 100644
--- a/DashAI/front/src/components/ResponsiveAppBar.jsx
+++ b/DashAI/front/src/components/ResponsiveAppBar.jsx
@@ -17,7 +17,6 @@ import HomeIcon from "@mui/icons-material/HomeOutlined";
 const pages = [
   { name: "Datasets", to: "/app/data", disabled: false },
   { name: "Experiments", to: "/app/experiments", disabled: false },
-  { name: "Results", to: "/app/results", disabled: false },
   { name: "Play", to: "/app/play", disabled: true },
 ];
 
diff --git a/DashAI/front/src/components/experiments/ExperimentsTable.jsx b/DashAI/front/src/components/experiments/ExperimentsTable.jsx
index f50a4140..0b175474 100644
--- a/DashAI/front/src/components/experiments/ExperimentsTable.jsx
+++ b/DashAI/front/src/components/experiments/ExperimentsTable.jsx
@@ -15,6 +15,7 @@ import {
 } from "../../api/experiment";
 import { formatDate } from "../../utils";
 import RunnerDialog from "./RunnerDialog";
+import Results from "../../pages/results/Results";
 
 import DeleteItemModal from "../custom/DeleteItemModal";
 
@@ -139,6 +140,7 @@ function ExperimentsTable({
             expRunning={expRunning}
             setExpRunning={setExpRunning}
           />,
+          <Results key="runs-dialog" experiment={params.row} />,
           <DeleteItemModal
             key="delete-button"
             deleteFromTable={() => handleDeleteExperiment(params.id)}
diff --git a/DashAI/front/src/components/results/RunInfoTab.jsx b/DashAI/front/src/components/results/RunInfoTab.jsx
deleted file mode 100644
index 22d80c57..00000000
--- a/DashAI/front/src/components/results/RunInfoTab.jsx
+++ /dev/null
@@ -1,115 +0,0 @@
-import { Divider, Grid, Typography } from "@mui/material";
-import React from "react";
-import PropTypes from "prop-types";
-
-const runNameInfo = [
-  { key: "name", label: "Name" },
-  { key: "model_name", label: "Model Name" },
-  { key: "status", label: "Status" },
-  { key: "id", label: "Run ID" },
-  { key: "experiment_id", label: "Experiment ID" },
-  { key: "run_path", label: "Run Path" },
-];
-
-const runDateInfo = [
-  { key: "created", label: "Created" },
-  { key: "last_modified", label: "Last Modified" },
-  { key: "delivery_time", label: "Delivery Time" },
-  { key: "start_time", label: "Start Time" },
-  { key: "end_time", label: "End Time" },
-];
-
-const formatDate = (dateStr) => {
-  const date = new Date(dateStr);
-  const options = {
-    year: "numeric",
-    month: "long",
-    day: "numeric",
-    hour: "numeric",
-    minute: "2-digit",
-    second: "2-digit",
-    locale: "en-US",
-  };
-
-  return date.toLocaleString("en-US", options);
-};
-/**
- * Component that displays general information associated with a run.
- * @param {object} runData object that contains all the necesary info of the run
- */
-function RunInfoTab({ runData }) {
-  return (
-    <Grid container direction="column">
-      {/* Run name related info */}
-      <Grid item>
-        <Grid
-          container
-          direction="row"
-          alignItems="center"
-          rowSpacing={3}
-          columnSpacing={15}
-        >
-          {runNameInfo.map((param) => (
-            <Grid item key={param.key}>
-              <Typography variant="subtitle1">{param.label}</Typography>
-              <Typography variant="p" sx={{ color: "gray" }}>
-                {runData[param.key] ?? "-"}
-              </Typography>
-            </Grid>
-          ))}
-        </Grid>
-      </Grid>
-
-      <Divider sx={{ mt: 3, mb: 3 }} />
-
-      {/* Run Date related info */}
-      <Grid item>
-        <Grid
-          container
-          direction="row"
-          alignItems="center"
-          rowSpacing={3}
-          columnSpacing={15}
-        >
-          {runDateInfo.map((param) => (
-            <Grid item key={param.key}>
-              <Typography variant="subtitle1">{param.label}</Typography>
-              <Typography variant="p" sx={{ color: "gray" }}>
-                {formatDate(runData[param.key] ?? "-")}
-              </Typography>
-            </Grid>
-          ))}
-        </Grid>
-      </Grid>
-
-      <Divider sx={{ mt: 3, mb: 3 }} />
-
-      {/* Run description */}
-      <Grid item>
-        <Typography variant="subtitle1">Description</Typography>
-        <Typography variant="p" sx={{ color: "gray" }}>
-          {runData.description ?? "-"}
-        </Typography>
-      </Grid>
-    </Grid>
-  );
-}
-
-RunInfoTab.propTypes = {
-  runData: PropTypes.shape({
-    name: PropTypes.string,
-    model_name: PropTypes.string,
-    status: PropTypes.number,
-    id: PropTypes.number,
-    experiment_id: PropTypes.number,
-    run_path: PropTypes.string,
-    created: PropTypes.string,
-    last_modified: PropTypes.string,
-    delivery_time: PropTypes.string,
-    start_time: PropTypes.string,
-    end_time: PropTypes.string,
-    description: PropTypes.string,
-  }).isRequired,
-};
-
-export default RunInfoTab;
diff --git a/DashAI/front/src/components/results/RunMetricsTab.jsx b/DashAI/front/src/components/results/RunMetricsTab.jsx
deleted file mode 100644
index d6039c38..00000000
--- a/DashAI/front/src/components/results/RunMetricsTab.jsx
+++ /dev/null
@@ -1,131 +0,0 @@
-import React, { useEffect, useState } from "react";
-import PropTypes from "prop-types";
-import {
-  Alert,
-  AlertTitle,
-  Box,
-  Divider,
-  Grid,
-  LinearProgress,
-  Link,
-  Paper,
-  ToggleButton,
-  ToggleButtonGroup,
-  Typography,
-} from "@mui/material";
-import { Link as RouterLink } from "react-router-dom";
-
-/**
- * Component that displays the metrics associated with a run.
- * @param {object} runData object that contains all the necesary info of the
- */
-function RunMetricsTab({ runData, setUpdateDataFlag }) {
-  const [displaySet, setDisplaySet] = useState("test_metrics");
-
-  const getDisplaySetName = () => {
-    switch (displaySet) {
-      case "test_metrics":
-        return "test";
-      case "train_metrics":
-        return "train";
-      case "validation_metrics":
-        return "validation";
-      default:
-        throw new Error(`Error, set name ${displaySet} is not recognized`);
-    }
-  };
-
-  // on mount, polling to update the sate of the data
-  useEffect(() => {
-    const intervalId = setInterval(() => {
-      // Check the condition to update the state or stop the interval
-      if (runData.status === 3 && runData[displaySet] === null) {
-        setUpdateDataFlag(true);
-      } else {
-        // Stop the interval when the condition is no longer met
-        clearInterval(intervalId);
-      }
-    }, 1000);
-
-    // Cleanup the interval when the component is unmounted or the dependency array changes
-    return () => clearInterval(intervalId);
-  }, [runData.status, runData[displaySet]]);
-
-  return (
-    <Grid container direction="column" rowSpacing={2}>
-      {/* Toggle to select the set on which the metrics are applied.  */}
-      <Grid item>
-        <ToggleButtonGroup
-          value={displaySet}
-          exclusive
-          onChange={(event, newSet) => {
-            // condition to enforce value set
-            if (newSet !== null) {
-              setDisplaySet(newSet);
-            }
-          }}
-          sx={{ float: "right" }}
-        >
-          <ToggleButton value="test_metrics">Test</ToggleButton>
-          <ToggleButton value="train_metrics">Train</ToggleButton>
-          <ToggleButton value="validation_metrics">Validation</ToggleButton>
-        </ToggleButtonGroup>
-      </Grid>
-
-      {/* metrics */}
-      <Grid item>
-        <Paper sx={{ borderRadius: 4 }}>
-          <Grid container direction="column" rowSpacing={2} sx={{ mt: 1 }}>
-            {runData[displaySet] === null ? (
-              runData.status === 3 ? (
-                <Box sx={{ width: "100%" }}>
-                  <LinearProgress />
-                </Box>
-              ) : (
-                <Alert severity="warning" sx={{ mb: 2 }}>
-                  <AlertTitle>
-                    {`There are no metrics associated with the ${getDisplaySetName()} set in this run`}
-                  </AlertTitle>
-                  Go to{" "}
-                  <Link component={RouterLink} to="/app/experiments">
-                    experiments tab
-                  </Link>{" "}
-                  to run your experiment.
-                </Alert>
-              )
-            ) : Object.keys(runData[displaySet]).length === 0 ? (
-              <Alert severity="error" sx={{ mb: 2 }}>
-                <AlertTitle>Error</AlertTitle>
-                <Typography variant="body1">
-                  The result metrics for {getDisplaySetName()} set are empty.
-                </Typography>
-              </Alert>
-            ) : (
-              Object.keys(runData[displaySet]).map((metric) => (
-                <Grid item key={metric} sx={{ px: 5, py: 1, width: "100%" }}>
-                  <Typography variant="p">{metric}</Typography>
-                  <Typography variant="p" sx={{ float: "right" }}>
-                    {runData[displaySet][metric].toFixed(2)}
-                  </Typography>
-                  <Divider sx={{ mt: 1 }} />
-                </Grid>
-              ))
-            )}
-          </Grid>
-        </Paper>
-      </Grid>
-    </Grid>
-  );
-}
-
-RunMetricsTab.propTypes = {
-  runData: PropTypes.shape({
-    status: PropTypes.number,
-    train_metrics: PropTypes.object,
-    test_metrics: PropTypes.object,
-    validation_metrics: PropTypes.object,
-  }),
-  setUpdateDataFlag: PropTypes.func.isRequired,
-};
-
-export default RunMetricsTab;
diff --git a/DashAI/front/src/components/results/RunParametersTab.jsx b/DashAI/front/src/components/results/RunParametersTab.jsx
deleted file mode 100644
index 679785ce..00000000
--- a/DashAI/front/src/components/results/RunParametersTab.jsx
+++ /dev/null
@@ -1,65 +0,0 @@
-import React, { useState } from "react";
-import PropTypes from "prop-types";
-import {
-  Grid,
-  ToggleButton,
-  ToggleButtonGroup,
-  Typography,
-} from "@mui/material";
-import ParameterListItem from "./ParameterListItem";
-
-/**
- * Component that displays the parameters associated with a run.
- * @param {object} runData object that contains all the necesary info of the
- */
-function RunParametersTab({ runData }) {
-  const [displayMode, setDisplayMode] = useState("nested-list");
-  return (
-    <Grid container direction="column">
-      {/* Toggle to select the mode of displaying the JSON object. */}
-      <Grid item>
-        <ToggleButtonGroup
-          value={displayMode}
-          exclusive
-          onChange={(event, newMode) => {
-            if (newMode !== null) {
-              setDisplayMode(newMode);
-            }
-          }}
-          sx={{ float: "right" }}
-        >
-          <ToggleButton value="nested-list">List</ToggleButton>
-          <ToggleButton value="json">JSON</ToggleButton>
-        </ToggleButtonGroup>
-      </Grid>
-
-      {/* JSON object display */}
-      <Grid item>
-        {displayMode === "nested-list" && (
-          <ParameterListItem name="Parameters" value={runData.parameters} />
-        )}
-
-        {displayMode === "json" && (
-          <Typography variant="body1" component="pre">
-            {JSON.stringify(runData.parameters, null, 4)}
-          </Typography>
-        )}
-      </Grid>
-    </Grid>
-  );
-}
-
-RunParametersTab.propTypes = {
-  runData: PropTypes.shape({
-    parameters: PropTypes.objectOf(
-      PropTypes.oneOfType([
-        PropTypes.string,
-        PropTypes.number,
-        PropTypes.bool,
-        PropTypes.object,
-      ]),
-    ),
-  }).isRequired,
-};
-
-export default RunParametersTab;
diff --git a/DashAI/front/src/components/results/RunResults.jsx b/DashAI/front/src/components/results/RunResults.jsx
deleted file mode 100644
index 2d211907..00000000
--- a/DashAI/front/src/components/results/RunResults.jsx
+++ /dev/null
@@ -1,104 +0,0 @@
-import { useSnackbar } from "notistack";
-import React, { useEffect, useState } from "react";
-import { Tabs, Tab, Typography, Paper, Box, Button } from "@mui/material";
-import { useNavigate, useParams } from "react-router-dom";
-import { getRunById as getRunByIdRequest } from "../../api/run";
-import RunInfoTab from "./RunInfoTab";
-import RunParametersTab from "./RunParametersTab";
-import RunMetricsTab from "./RunMetricsTab";
-import ArrowBackIosNewIcon from "@mui/icons-material/ArrowBackIosNew";
-import CustomLayout from "../custom/CustomLayout";
-
-const tabs = [
-  { label: "Info", value: 0, disabled: false },
-  { label: "Parameters", value: 1, disabled: false },
-  { label: "Metrics", value: 2, disabled: false },
-  { label: "Artifacts", value: 3, disabled: true },
-  { label: "Predict", value: 4, disabled: false },
-];
-/**
- * Component that renders multiple tabs to visualize the results of a specific run.
- */
-function RunResults() {
-  const { id } = useParams();
-  const { enqueueSnackbar } = useSnackbar();
-  const navigate = useNavigate();
-
-  const [runData, setRunData] = useState({});
-  const [updateDataFlag, setUpdateDataFlag] = useState({});
-  const [currentTab, setCurrentTab] = useState(0);
-
-  const handleTabChange = (event, newValue) => {
-    setCurrentTab(newValue);
-  };
-
-  const getRunById = async (id) => {
-    try {
-      const run = await getRunByIdRequest(id);
-      setRunData(run);
-    } catch (error) {
-      enqueueSnackbar(`Error while trying to obtain data of the run id: ${id}`);
-      if (error.response) {
-        console.error("Response error:", error.message);
-      } else if (error.request) {
-        console.error("Request error", error.request);
-      } else {
-        console.error("Unknown Error", error.message);
-      }
-    }
-  };
-
-  // triggers an update of the run data when updateFlag is set to true
-  useEffect(() => {
-    if (updateDataFlag) {
-      setUpdateDataFlag(false);
-      getRunById(id);
-    }
-  }, [updateDataFlag]);
-
-  // on mount, fetch the data of the run
-  useEffect(() => {
-    getRunById(id);
-  }, []);
-  return (
-    <CustomLayout>
-      {/* Button to return to the experiment results table */}
-      <Button
-        startIcon={<ArrowBackIosNewIcon />}
-        onClick={() => {
-          navigate(`/app/results/experiments/${runData.experiment_id}`);
-        }}
-      >
-        Return to table
-      </Button>
-
-      {/* Tabs  */}
-      <Paper sx={{ mt: 2 }}>
-        <Tabs value={currentTab} onChange={handleTabChange}>
-          {tabs.map((tab) => (
-            <Tab
-              key={tab.value}
-              value={tab.value}
-              label={tab.label}
-              disabled={tab.disabled}
-            />
-          ))}
-        </Tabs>
-        <Box sx={{ p: 3, height: "100%" }}>
-          {currentTab === 0 && <RunInfoTab runData={runData} />}
-          {currentTab === 1 && <RunParametersTab runData={runData} />}
-          {currentTab === 2 && (
-            <RunMetricsTab
-              runData={runData}
-              setUpdateDataFlag={setUpdateDataFlag}
-            />
-          )}
-          {currentTab === 3 && <Typography>TODO...</Typography>}
-          {currentTab === 4 && <Typography>TODO...</Typography>}
-        </Box>
-      </Paper>
-    </CustomLayout>
-  );
-}
-
-export default RunResults;
diff --git a/DashAI/front/src/components/results/RunsTable.jsx b/DashAI/front/src/components/results/RunsTable.jsx
deleted file mode 100644
index 137b63ec..00000000
--- a/DashAI/front/src/components/results/RunsTable.jsx
+++ /dev/null
@@ -1,293 +0,0 @@
-import React, { useEffect, useState } from "react";
-import PropTypes from "prop-types";
-import { Alert, AlertTitle, CircularProgress, Paper } from "@mui/material";
-import { DataGrid, GridActionsCellItem, GridToolbar } from "@mui/x-data-grid";
-import { getRuns as getRunsRequest } from "../../api/run";
-import { getComponents as getComponentsRequest } from "../../api/component";
-import { getExperimentById } from "../../api/experiment";
-import { useSnackbar } from "notistack";
-import { useNavigate } from "react-router-dom";
-import QueryStatsIcon from "@mui/icons-material/QueryStats";
-import { getRunStatus } from "../../utils/runStatus";
-import { formatDate } from "../../utils/index";
-
-// columns that are common to all runs
-const initialColumns = [
-  {
-    field: "name",
-    headerName: "Name",
-    minWidth: 150,
-  },
-  {
-    field: "model_name",
-    headerName: "Model",
-    minWidth: 150,
-  },
-  {
-    field: "status",
-    headerName: "Status",
-    minWidth: 150,
-  },
-  {
-    field: "created",
-    headerName: "Created",
-    type: Date,
-    minWidth: 140,
-    valueFormatter: (params) => formatDate(params.value),
-  },
-  {
-    field: "last_modified",
-    headerName: "Last modified",
-    type: Date,
-    minWidth: 140,
-    valueFormatter: (params) => formatDate(params.value),
-  },
-  {
-    field: "start_time",
-    headerName: "Start",
-    type: Date,
-    minWidth: 140,
-    valueFormatter: (params) => formatDate(params.value),
-  },
-  {
-    field: "end_time",
-    headerName: "End",
-    type: Date,
-    minWidth: 140,
-    valueFormatter: (params) => formatDate(params.value),
-  },
-];
-
-// name of the properties in the run object that contain objects
-const runObjectProperties = [
-  "train_metrics",
-  "test_metrics",
-  "validation_metrics",
-  "parameters",
-];
-
-// function to get prefixes for the column names of each metric
-const getPrefix = (property) => {
-  switch (property) {
-    case "train_metrics":
-      return "train_";
-    case "test_metrics":
-      return "test_";
-    case "validation_metrics":
-      return "val_";
-    default:
-      return "";
-  }
-};
-/**
- * This component renders a table that contains the runs associated to an experiment.
- * @param {string} experimentId id of the experiment whose runs the user wants to analyze.
- */
-function RunsTable({ experimentId }) {
-  const { enqueueSnackbar } = useSnackbar();
-  const navigate = useNavigate();
-
-  const [rows, setRows] = useState([]);
-  const [columns, setColumns] = useState([]);
-  const [columnGroupingModel, setColumnGroupingModel] = useState([]);
-  const [columnVisibilityModel, setColumnVisibilityModel] = useState({});
-  const [loading, setLoading] = useState(false);
-
-  const actionsColumns = [
-    {
-      field: "actions",
-      type: "actions",
-      minWidth: 80,
-      getActions: (params) => [
-        <GridActionsCellItem
-          key="specific-results-button"
-          icon={<QueryStatsIcon />}
-          label="Run Results"
-          onClick={() =>
-            navigate(
-              `/app/results/experiments/${experimentId}/runs/${params.id}`,
-            )
-          }
-          sx={{ color: "primary.main" }}
-        />,
-      ],
-    },
-  ];
-
-  const extractRows = (rawRuns) => {
-    let rows = [];
-    rawRuns.forEach((run) => {
-      let newRun = { ...run };
-      runObjectProperties.forEach((p) => {
-        // adds its corresponding prefix to the metric name (e.g. train_F1) and
-        // if the metric value is a number, it is rounded to two decimal places.
-        Object.keys(run[p] ?? {}).forEach((metric) => {
-          newRun = {
-            ...newRun,
-            [`${getPrefix(p)}${metric}`]:
-              typeof run[p][metric] === "number"
-                ? run[p][metric].toFixed(2)
-                : run[p][metric],
-          };
-        });
-      });
-      rows = [...rows, newRun];
-    });
-    return rows;
-  };
-
-  const extractColumns = (rawMetrics, rawRuns) => {
-    // extract metrics
-    let metrics = [];
-    for (const metric of rawMetrics) {
-      metrics = [
-        ...metrics,
-        { field: `train_${metric.name}` },
-        { field: `test_${metric.name}` },
-        { field: `val_${metric.name}` },
-      ];
-    }
-
-    // extract parameters
-    let distinctParameters = {};
-    for (const run of rawRuns) {
-      distinctParameters = { ...distinctParameters, ...run.parameters };
-    }
-    const parameters = Object.keys(distinctParameters).map((name) => {
-      return { field: name };
-    });
-
-    // column grouping
-    const columnGroupingModel = [
-      { groupId: "Actions", children: [...actionsColumns] },
-      { groupId: "Info", children: [...initialColumns] },
-      { groupId: "Metrics", children: [...metrics] },
-      { groupId: "Parameters", children: [...parameters] },
-    ];
-
-    // column visibility
-    let columnVisibilityModel = {
-      last_modified: false,
-      start_time: false,
-      end_time: false,
-    };
-    [...metrics, ...parameters].forEach((col) => {
-      if (col.field.includes("test")) {
-        return; // skip this iteration and proceed with the next one
-      }
-      columnVisibilityModel = { ...columnVisibilityModel, [col.field]: false };
-    });
-
-    const columns = [
-      ...actionsColumns,
-      ...initialColumns,
-      ...metrics,
-      ...parameters,
-    ];
-
-    return { columns, columnGroupingModel, columnVisibilityModel };
-  };
-
-  const getRuns = async () => {
-    setLoading(true);
-    try {
-      const runs = await getRunsRequest(experimentId);
-      const experiment = await getExperimentById(experimentId);
-      const metrics = await getComponentsRequest({
-        selectTypes: ["Metric"],
-        relatedComponent: experiment.task_name,
-      });
-      const rows = extractRows(runs);
-      const rowsWithStringStatus = rows.map((run) => {
-        return { ...run, status: getRunStatus(run.status) };
-      });
-      const { columns, columnGroupingModel, columnVisibilityModel } =
-        extractColumns(metrics, runs);
-      setRows(rowsWithStringStatus);
-      setColumns(columns);
-      setColumnGroupingModel(columnGroupingModel);
-      setColumnVisibilityModel(columnVisibilityModel);
-    } catch (error) {
-      enqueueSnackbar("Error while trying to obtain the runs table.");
-      if (error.response) {
-        console.error("Response error:", error.message);
-      } else if (error.request) {
-        console.error("Request error", error.request);
-      } else {
-        console.error("Unknown Error", error.message);
-      }
-    } finally {
-      setLoading(false);
-    }
-  };
-
-  // fetch the runs and preprocess the data for DataGrid
-  useEffect(() => {
-    if (experimentId !== undefined) {
-      getRuns();
-    }
-  }, [experimentId]);
-  return (
-    <Paper
-      sx={{
-        p: 4,
-      }}
-    >
-      {experimentId === undefined && (
-        <Alert severity="warning" sx={{ mb: 2 }}>
-          <AlertTitle>No experiment selected</AlertTitle>
-          Select an experiment to see the runs associated to it
-        </Alert>
-      )}
-      {!loading ? (
-        <DataGrid
-          rows={
-            experimentId
-              ? rows.filter((run) => String(run.experiment_id) === experimentId)
-              : []
-          }
-          columns={columns}
-          initialState={{
-            pagination: {
-              paginationModel: {
-                pageSize: 10,
-              },
-            },
-            columns: {
-              columnVisibilityModel,
-            },
-          }}
-          experimentalFeatures={{ columnGrouping: true }}
-          columnGroupingModel={columnGroupingModel}
-          slots={{
-            toolbar: GridToolbar,
-          }}
-          pageSizeOptions={[10]}
-          density="compact"
-          disableRowSelectionOnClick
-          autoHeight
-          sx={{
-            // disable cell selection style
-            ".MuiDataGrid-cell:focus": {
-              outline: "none",
-            },
-            // pointer cursor on ALL rows
-            "& .MuiDataGrid-row:hover": {},
-          }}
-        />
-      ) : (
-        <CircularProgress color="inherit" />
-      )}
-    </Paper>
-  );
-}
-
-RunsTable.propTypes = {
-  experimentId: PropTypes.string,
-};
-
-RunsTable.defaultProps = {
-  experimentId: undefined,
-};
-
-export default RunsTable;
diff --git a/DashAI/front/src/pages/ResultsPage.jsx b/DashAI/front/src/pages/ResultsPage.jsx
deleted file mode 100644
index 68dde650..00000000
--- a/DashAI/front/src/pages/ResultsPage.jsx
+++ /dev/null
@@ -1,69 +0,0 @@
-import React, { useState, useEffect } from "react";
-import { useParams } from "react-router-dom";
-import ExperimentsList from "../components/results/ExperimentsList";
-import RunsTable from "../components/results/RunsTable";
-import { Grid } from "@mui/material";
-import CustomLayout from "../components/custom/CustomLayout";
-/**
- * This component renders a table that shows the runs of the experiments and a list to select the experiment to visualize
- */
-function ResultsPage() {
-  // gets the id of the selected experiment in the url
-  const { id } = useParams();
-
-  const [appBarHeight, setAppBarHeight] = useState(0);
-
-  // on mount gets the height of the AppBar to adjust the size of the list of experiments to the screen.
-  useEffect(() => {
-    function updateAppBarHeight() {
-      const appBar = document.querySelector("header.MuiAppBar-root");
-      const height = appBar?.getBoundingClientRect().height || 0;
-      setAppBarHeight(height);
-    }
-
-    updateAppBarHeight();
-
-    function handleResize() {
-      updateAppBarHeight();
-    }
-
-    window.addEventListener("resize", handleResize);
-    return () => window.removeEventListener("resize", handleResize);
-  }, []);
-
-  return (
-    <CustomLayout disableContainer>
-      <Grid
-        container
-        direction="row"
-        wrap="nowrap"
-        sx={{
-          width: "100vw",
-          marginLeft: "calc(-50vw + 50%)",
-        }}
-        columnSpacing={2}
-      >
-        {/* List of experiments */}
-        <Grid
-          item
-          xs={2}
-          sx={{
-            backgroundColor: "#212121",
-            height: `calc(100vh - ${appBarHeight}px)`,
-          }}
-        >
-          <ExperimentsList />
-        </Grid>
-
-        {/* Runs table */}
-        <Grid item xs={10}>
-          <CustomLayout>
-            <RunsTable experimentId={id} />
-          </CustomLayout>
-        </Grid>
-      </Grid>
-    </CustomLayout>
-  );
-}
-
-export default ResultsPage;
diff --git a/DashAI/front/src/pages/DatasetsPage.jsx b/DashAI/front/src/pages/datasets/Datasets.jsx
similarity index 75%
rename from DashAI/front/src/pages/DatasetsPage.jsx
rename to DashAI/front/src/pages/datasets/Datasets.jsx
index 2fdc76f5..2a10994e 100644
--- a/DashAI/front/src/pages/DatasetsPage.jsx
+++ b/DashAI/front/src/pages/datasets/Datasets.jsx
@@ -1,7 +1,7 @@
 import React, { useState } from "react";
-import DatasetsTable from "../components/datasets/DatasetsTable";
-import DatasetModal from "../components/datasets/DatasetModal";
-import CustomLayout from "../components/custom/CustomLayout";
+import DatasetsTable from "../../components/datasets/DatasetsTable";
+import DatasetModal from "../../components/datasets/DatasetModal";
+import CustomLayout from "../../components/custom/CustomLayout";
 
 function DatasetsPage() {
   const [open, setOpen] = useState(false);
diff --git a/DashAI/front/src/pages/ExperimentPage.jsx b/DashAI/front/src/pages/experiments/Experiments.jsx
similarity index 74%
rename from DashAI/front/src/pages/ExperimentPage.jsx
rename to DashAI/front/src/pages/experiments/Experiments.jsx
index 59b4af5e..9ab8432b 100644
--- a/DashAI/front/src/pages/ExperimentPage.jsx
+++ b/DashAI/front/src/pages/experiments/Experiments.jsx
@@ -1,9 +1,9 @@
 import React from "react";
 
-import NewExperimentModal from "../components/experiments/NewExperimentModal";
-import ExperimentsTable from "../components/experiments/ExperimentsTable";
-import { rows } from "../example_data/experiments";
-import CustomLayout from "../components/custom/CustomLayout";
+import NewExperimentModal from "../../components/experiments/NewExperimentModal";
+import ExperimentsTable from "../../components/experiments/ExperimentsTable";
+import { rows } from "../../example_data/experiments";
+import CustomLayout from "../../components/custom/CustomLayout";
 
 function ExperimentsPage() {
   const [showNewExperimentModal, setShowNewExperimentModal] =
diff --git a/DashAI/front/src/pages/Home.jsx b/DashAI/front/src/pages/home/Home.jsx
similarity index 71%
rename from DashAI/front/src/pages/Home.jsx
rename to DashAI/front/src/pages/home/Home.jsx
index fccb8836..ad81a001 100644
--- a/DashAI/front/src/pages/Home.jsx
+++ b/DashAI/front/src/pages/home/Home.jsx
@@ -3,10 +3,9 @@ import { Grid, Typography } from "@mui/material";
 import {
   FileUpload as FileUploadIcon,
   Science as ScienceIcon,
-  Assignment as AssignmentIcon,
 } from "@mui/icons-material";
-import HomeButton from "../components/HomeButton";
-import CustomLayout from "../components/custom/CustomLayout";
+import HomeButton from "../../components/HomeButton";
+import CustomLayout from "../../components/custom/CustomLayout";
 
 function Home() {
   return (
@@ -41,17 +40,6 @@ function Home() {
             Icon={ScienceIcon}
           />
         </Grid>
-        <Grid item md={4} sm={6} xs={12}>
-          <HomeButton
-            title="Results"
-            description={
-              "View the results of the models that are being trained and those that \
-            have already been trained."
-            }
-            to="/app/results"
-            Icon={AssignmentIcon}
-          />
-        </Grid>
       </Grid>
     </CustomLayout>
   );
diff --git a/DashAI/front/src/pages/results/Results.jsx b/DashAI/front/src/pages/results/Results.jsx
new file mode 100644
index 00000000..de535bec
--- /dev/null
+++ b/DashAI/front/src/pages/results/Results.jsx
@@ -0,0 +1,51 @@
+import React, { useState } from "react";
+import PropTypes from "prop-types";
+import { IconButton } from "@mui/material";
+import VisibilityIcon from "@mui/icons-material/Visibility";
+import ResultsDialogLayout from "./components/ResultsDialogLayout";
+
+function Results({ experiment }) {
+  const [open, setOpen] = useState(false);
+  const [showTable, setShowTable] = useState(true);
+
+  const handleOpen = () => {
+    setOpen(true);
+  };
+
+  const handleClose = () => {
+    setOpen(false);
+  };
+
+  const handleShowTable = () => {
+    setShowTable(true);
+  };
+
+  const handleShowGraphs = () => {
+    setShowTable(false);
+  };
+
+  return (
+    <>
+      <IconButton onClick={handleOpen}>
+        <VisibilityIcon />
+      </IconButton>
+      <ResultsDialogLayout
+        experiment={experiment}
+        open={open}
+        onClose={handleClose}
+        showTable={showTable}
+        handleShowTable={handleShowTable}
+        handleShowGraphs={handleShowGraphs}
+      />
+    </>
+  );
+}
+
+Results.propTypes = {
+  experiment: PropTypes.shape({
+    name: PropTypes.string,
+    id: PropTypes.number,
+  }).isRequired,
+};
+
+export default Results;
diff --git a/DashAI/front/src/pages/results/components/ResultsDetails.jsx b/DashAI/front/src/pages/results/components/ResultsDetails.jsx
new file mode 100644
index 00000000..aba83dc8
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsDetails.jsx
@@ -0,0 +1,79 @@
+import { useSnackbar } from "notistack";
+import React, { useEffect, useState } from "react";
+import PropTypes from "prop-types";
+import { getRunById as getRunByIdRequest } from "../../../api/run";
+import ResultsDetailsLayout from "./ResultsDetailsLayout";
+
+/**
+ * Component that renders multiple tabs to visualize the results of a specific run.
+ */
+function ResultsDetails({ runId }) {
+  const { enqueueSnackbar } = useSnackbar();
+
+  const [runData, setRunData] = useState({});
+  const [updateDataFlag, setUpdateDataFlag] = useState({});
+  const [currentTab, setCurrentTab] = useState(0);
+  const [customLayoutOpen, setCustomLayoutOpen] = useState(true);
+
+  const handleTabChange = (event, newValue) => {
+    setCurrentTab(newValue);
+  };
+
+  const handleCloseCustomLayout = () => {
+    setCustomLayoutOpen(false);
+  };
+
+  const getRunById = async (runId) => {
+    try {
+      const run = await getRunByIdRequest(runId);
+      setRunData(run);
+    } catch (error) {
+      enqueueSnackbar(
+        `Error while trying to obtain data of the run id: ${runId}`,
+      );
+      if (error.response) {
+        console.error("Response error:", error.message);
+      } else if (error.request) {
+        console.error("Request error", error.request);
+      } else {
+        console.error("Unknown Error", error.message);
+      }
+    }
+  };
+
+  // triggers an update of the run data when updateFlag is set to true
+  useEffect(() => {
+    if (updateDataFlag) {
+      setUpdateDataFlag(false);
+      getRunById(runId);
+    }
+  }, [updateDataFlag]);
+
+  // on mount, fetch the data of the run
+  useEffect(() => {
+    getRunById(runId);
+  }, []);
+  return (
+    <>
+      {customLayoutOpen && (
+        <ResultsDetailsLayout
+          runData={runData}
+          currentTab={currentTab}
+          setUpdateDataFlag={setUpdateDataFlag}
+          handleTabChange={handleTabChange}
+          handleCloseCustomLayout={handleCloseCustomLayout}
+        />
+      )}
+    </>
+  );
+}
+
+ResultsDetails.propTypes = {
+  runId: PropTypes.number,
+};
+
+ResultsDetails.defaultProps = {
+  runId: undefined,
+};
+
+export default ResultsDetails;
diff --git a/DashAI/front/src/pages/results/components/ResultsDetailsLayout.jsx b/DashAI/front/src/pages/results/components/ResultsDetailsLayout.jsx
new file mode 100644
index 00000000..ff3c4ad1
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsDetailsLayout.jsx
@@ -0,0 +1,64 @@
+import React from "react";
+import PropTypes from "prop-types";
+import { Tabs, Tab, Typography, Paper, Box, Button } from "@mui/material";
+import ArrowBackIosNewIcon from "@mui/icons-material/ArrowBackIosNew";
+import CustomLayout from "../../../components/custom/CustomLayout";
+import ResultsTabInfo from "./ResultsTabInfo";
+import ResultsTabParameters from "./ResultsTabParameters";
+import ResultsTabMetrics from "./ResultsTabMetrics";
+
+import { tabsResultsDetails } from "../constants/tabsResultsDetails";
+
+function ResultsDetailsLayout({
+  runData,
+  currentTab,
+  setUpdateDataFlag,
+  handleTabChange,
+  handleCloseCustomLayout,
+}) {
+  return (
+    <CustomLayout>
+      <Button
+        startIcon={<ArrowBackIosNewIcon />}
+        onClick={handleCloseCustomLayout}
+      >
+        Close
+      </Button>
+
+      <Paper sx={{ mt: 2 }}>
+        <Tabs value={currentTab} onChange={handleTabChange}>
+          {tabsResultsDetails.map((tab) => (
+            <Tab
+              key={tab.value}
+              value={tab.value}
+              label={tab.label}
+              disabled={tab.disabled}
+            />
+          ))}
+        </Tabs>
+        <Box sx={{ p: 3, height: "100%" }}>
+          {currentTab === 0 && <ResultsTabInfo runData={runData} />}
+          {currentTab === 1 && <ResultsTabParameters runData={runData} />}
+          {currentTab === 2 && (
+            <ResultsTabMetrics
+              runData={runData}
+              setUpdateDataFlag={setUpdateDataFlag}
+            />
+          )}
+          {currentTab === 3 && <Typography>TODO...</Typography>}
+          {currentTab === 4 && <Typography>TODO...</Typography>}
+        </Box>
+      </Paper>
+    </CustomLayout>
+  );
+}
+
+ResultsDetailsLayout.propTypes = {
+  runData: PropTypes.object,
+  currentTab: PropTypes.number,
+  setUpdateDataFlag: PropTypes.func,
+  handleTabChange: PropTypes.func,
+  handleCloseCustomLayout: PropTypes.func,
+};
+
+export default ResultsDetailsLayout;
diff --git a/DashAI/front/src/pages/results/components/ResultsDialogLayout.jsx b/DashAI/front/src/pages/results/components/ResultsDialogLayout.jsx
new file mode 100644
index 00000000..162a071b
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsDialogLayout.jsx
@@ -0,0 +1,71 @@
+import React from "react";
+import PropTypes from "prop-types";
+import { Dialog, DialogTitle, Divider, Grid } from "@mui/material";
+import { useTheme } from "@mui/material/styles";
+import useMediaQuery from "@mui/material/useMediaQuery";
+import CustomLayout from "../../../components/custom/CustomLayout";
+import ResultsDialogViews from "./ResultsDialogViews";
+import ResultsTable from "./ResultsTable";
+import ResultsGraphs from "./ResultsGraphs";
+
+function ResultsDialogLayout({
+  experiment,
+  open,
+  onClose,
+  showTable,
+  handleShowTable,
+  handleShowGraphs,
+}) {
+  const theme = useTheme();
+  const screenSm = useMediaQuery(theme.breakpoints.down("sm"));
+
+  return (
+    <Dialog
+      open={open}
+      fullScreen={screenSm}
+      fullWidth
+      maxWidth={"lg"}
+      onClose={onClose}
+      PaperProps={{
+        sx: {
+          minHeight: "90vh",
+          overflow: "auto",
+          maxHeight: "90vh",
+        },
+      }}
+    >
+      <DialogTitle>{`Experiment ${experiment.name} results`}</DialogTitle>
+      <Divider />
+      <ResultsDialogViews
+        showTable={showTable}
+        handleShowTable={handleShowTable}
+        handleShowGraphs={handleShowGraphs}
+      />
+      <Divider />
+      <Grid item xs={10}>
+        <CustomLayout>
+          {showTable ? (
+            <ResultsTable experimentId={experiment.id.toString()} />
+          ) : null}
+          {!showTable ? (
+            <ResultsGraphs experimentId={experiment.id.toString()} />
+          ) : null}
+        </CustomLayout>
+      </Grid>
+    </Dialog>
+  );
+}
+
+ResultsDialogLayout.propTypes = {
+  experiment: PropTypes.shape({
+    name: PropTypes.string,
+    id: PropTypes.number,
+  }).isRequired,
+  open: PropTypes.bool.isRequired,
+  onClose: PropTypes.func.isRequired,
+  showTable: PropTypes.bool.isRequired,
+  handleShowTable: PropTypes.func.isRequired,
+  handleShowGraphs: PropTypes.func.isRequired,
+};
+
+export default ResultsDialogLayout;
diff --git a/DashAI/front/src/pages/results/components/ResultsDialogViews.jsx b/DashAI/front/src/pages/results/components/ResultsDialogViews.jsx
new file mode 100644
index 00000000..6cac2ebc
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsDialogViews.jsx
@@ -0,0 +1,53 @@
+import React from "react";
+import PropTypes from "prop-types";
+import { Grid, Button, Typography } from "@mui/material";
+
+function ResultsDialogViews({ showTable, handleShowTable, handleShowGraphs }) {
+  return (
+    <Grid container direction="column" alignItems="center">
+      <Grid item container justifyContent="flex-start" sx={{ mt: 2, mb: 1 }}>
+        <Grid item sx={{ ml: 2 }}>
+          <Typography variant="body1">
+            View results as columns or graphs
+          </Typography>
+        </Grid>
+      </Grid>
+      <Grid item sx={{ my: 1 }}>
+        <Grid container justifyContent="center">
+          <Button
+            variant="contained"
+            color={showTable ? "primary" : "inherit"}
+            onClick={handleShowTable}
+            style={{
+              border: showTable ? "2px solid #00bebb" : "2px solid #00bebb",
+              color: showTable ? "#ffffff" : "#00bebb",
+              borderRadius: "1px",
+            }}
+          >
+            Columns
+          </Button>
+          <Button
+            variant="contained"
+            color={!showTable ? "primary" : "inherit"}
+            onClick={handleShowGraphs}
+            style={{
+              border: !showTable ? "2px solid #00bebb" : "2px solid #00bebb",
+              color: !showTable ? "#ffffff" : "#00bebb",
+              borderRadius: "1px",
+            }}
+          >
+            Graphs
+          </Button>
+        </Grid>
+      </Grid>
+    </Grid>
+  );
+}
+
+ResultsDialogViews.propTypes = {
+  showTable: PropTypes.bool.isRequired,
+  handleShowTable: PropTypes.func.isRequired,
+  handleShowGraphs: PropTypes.func.isRequired,
+};
+
+export default ResultsDialogViews;
diff --git a/DashAI/front/src/pages/results/components/ResultsGraphs.jsx b/DashAI/front/src/pages/results/components/ResultsGraphs.jsx
new file mode 100644
index 00000000..52644127
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsGraphs.jsx
@@ -0,0 +1,213 @@
+import { getRuns as getRunsRequest } from "../../../api/run";
+import PropTypes from "prop-types";
+import { getExperimentById } from "../../../api/experiment";
+import React, { useEffect, useState } from "react";
+import { Alert, AlertTitle } from "@mui/material";
+import { useSnackbar } from "notistack";
+import graphsMaking from "../constants/graphsMaking";
+import layoutMaking from "../constants/layoutMaking";
+
+import ResultsGraphsLayout from "./ResultsGraphsLayout";
+
+function ResultsGraphs({ experimentId }) {
+  const { enqueueSnackbar } = useSnackbar();
+  const [selectedChart, setSelectedChart] = useState("radar");
+  const [selectedParameters, setSelectedParameters] = useState([]);
+  const [showCustomMetrics, setShowCustomMetrics] = useState(false);
+  const [selectedGeneralMetric, setSelectedGeneralMetric] = useState("test");
+  const [concatenatedMetrics, setConcatenatedMetrics] = useState([]);
+  const [tabularMetrics, setTabularMetrics] = useState([]);
+  const [chartData, setChartData] = useState({});
+  const [filteredDataProcess, setFilteredDataProcess] = useState([]);
+
+  const handleChangeChart = (chartType) => {
+    setSelectedChart(chartType);
+  };
+
+  const handleToggleParameter = (parameter) => {
+    const updatedParameters = selectedParameters.includes(parameter)
+      ? selectedParameters.filter((param) => param !== parameter)
+      : [...selectedParameters, parameter];
+    setSelectedParameters(updatedParameters);
+  };
+
+  const handleToggleMetrics = () => {
+    setShowCustomMetrics(!showCustomMetrics);
+    setSelectedParameters([]);
+  };
+
+  const getRuns = async () => {
+    try {
+      const runs = await getRunsRequest(parseInt(experimentId));
+      const experiment = await getExperimentById(parseInt(experimentId));
+      return { runs, experiment };
+    } catch (error) {
+      enqueueSnackbar(
+        `Error while trying to obtain data of the experiment id: ${experimentId}`,
+      );
+      if (error.response) {
+        console.error("Response error:", error.message);
+      } else if (error.request) {
+        console.error("Request error", error.request);
+      } else {
+        console.error("Unknown Error", error.message);
+      }
+    }
+  };
+
+  useEffect(() => {
+    const processData = async () => {
+      const { runs } = await getRuns(experimentId);
+
+      // Only process the data with status Finished
+      const filteredData = runs.filter((item) => item.status === 3);
+      setFilteredDataProcess(filteredData);
+      const graphsToView = {};
+      let parameterIndex = [];
+      const generalParameters = [];
+      let pieCounter = 0;
+
+      // Filter all metrics with status Finished and obtain all the keywords metrics
+      const newFilteredDataWithMetrics = filteredData.map((item) => {
+        const metrics = {};
+        Object.keys(item).forEach((key) => {
+          if (key.includes("metrics")) {
+            metrics[key] = item[key];
+          }
+        });
+        return metrics;
+      });
+
+      if (newFilteredDataWithMetrics.length > 0) {
+        // Order in which metrics appear
+        const metricsOrder = Object.keys(newFilteredDataWithMetrics[0]);
+        const metricsValuesOrder = Object.keys(
+          newFilteredDataWithMetrics[0][metricsOrder[0]],
+        );
+        const concatenatedMetrics = metricsOrder
+          .map((metricType) => metricType.split("_")[0])
+          .concat(metricsValuesOrder);
+        setConcatenatedMetrics(concatenatedMetrics);
+
+        const tabularMetrics = [];
+        metricsOrder.forEach((metricType) => {
+          metricsValuesOrder.forEach((metric) => {
+            tabularMetrics.push(`${metricType.split("_")[0]} ${metric}`);
+          });
+        });
+
+        if (showCustomMetrics) {
+          parameterIndex = selectedParameters.map((param) =>
+            tabularMetrics.indexOf(param),
+          );
+        } else if (!showCustomMetrics && selectedGeneralMetric.length > 0) {
+          setTabularMetrics(tabularMetrics);
+          const criteria = {};
+          concatenatedMetrics.forEach((item) => {
+            criteria[item] = item;
+          });
+
+          tabularMetrics.forEach((metric, index) => {
+            Object.entries(criteria).forEach(([metricName, substring]) => {
+              if (
+                selectedGeneralMetric === metricName &&
+                metric.includes(substring)
+              ) {
+                parameterIndex.push(index);
+                generalParameters.push(metric);
+              }
+            });
+          });
+        } else {
+          parameterIndex = [];
+        }
+
+        filteredData.forEach((item) => {
+          const numericValues = [];
+
+          metricsOrder.forEach((metricType) => {
+            if (metricType.endsWith("metrics")) {
+              const metrics = item[metricType];
+              metricsValuesOrder.forEach((metric) => {
+                numericValues.push(metrics[metric]);
+              });
+            }
+          });
+
+          const relevantNumericValues = parameterIndex.map(
+            (index) => numericValues[index],
+          );
+          graphsMaking(
+            graphsToView,
+            item,
+            relevantNumericValues,
+            showCustomMetrics,
+            selectedParameters,
+            generalParameters,
+            pieCounter,
+          );
+          pieCounter += 1;
+        });
+
+        // Call the Layouts to use
+        const { generalLayout, pieLayout } = layoutMaking(
+          selectedChart,
+          graphsToView,
+        );
+
+        // Call the Graphs to use, make sure to see the correct order in RunsGraphsLayout.jsx
+        const graphsToViewKeys = Object.keys(graphsToView);
+        const radarValues = graphsToView[graphsToViewKeys[0]];
+        const barValues = graphsToView[graphsToViewKeys[1]];
+        const pieValues = graphsToView[graphsToViewKeys[2]];
+
+        setChartData({
+          generalLayout,
+          pieLayout,
+          radarValues,
+          barValues,
+          pieValues,
+        });
+      }
+    };
+    processData();
+  }, [selectedParameters, selectedChart]);
+
+  return (
+    <>
+      {filteredDataProcess.length === 0 ? (
+        <>
+          <Alert severity="warning" sx={{ mb: 2 }}>
+            <AlertTitle>No information from the experiments</AlertTitle>
+            There are no completed experiments or all have an error status.
+          </Alert>
+        </>
+      ) : (
+        <ResultsGraphsLayout
+          selectedChart={selectedChart}
+          handleChangeChart={handleChangeChart}
+          showCustomMetrics={showCustomMetrics}
+          handleToggleMetrics={handleToggleMetrics}
+          tabularMetrics={tabularMetrics}
+          selectedParameters={selectedParameters}
+          handleToggleParameter={handleToggleParameter}
+          selectedGeneralMetric={selectedGeneralMetric}
+          setSelectedGeneralMetric={setSelectedGeneralMetric}
+          setSelectedParameters={setSelectedParameters}
+          concatenatedMetrics={concatenatedMetrics}
+          chartData={chartData}
+        />
+      )}
+    </>
+  );
+}
+
+ResultsGraphs.propTypes = {
+  experimentId: PropTypes.string,
+};
+
+ResultsGraphs.defaultProps = {
+  experimentId: undefined,
+};
+
+export default ResultsGraphs;
diff --git a/DashAI/front/src/pages/results/components/ResultsGraphsLayout.jsx b/DashAI/front/src/pages/results/components/ResultsGraphsLayout.jsx
new file mode 100644
index 00000000..46251602
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsGraphsLayout.jsx
@@ -0,0 +1,81 @@
+import React from "react";
+import PropTypes from "prop-types";
+import { Box } from "@mui/material";
+
+import ResultsGraphsSelection from "./ResultsGraphsSelection";
+import ResultsGraphsSwitch from "./ResultsGraphsSwitch";
+import ResultsGraphsParameters from "./ResultsGraphsParameters";
+import ResultsGraphsPlot from "./ResultsGraphsPlot";
+
+function ResultsGraphsLayout({
+  selectedChart,
+  handleChangeChart,
+  showCustomMetrics,
+  handleToggleMetrics,
+  tabularMetrics,
+  selectedParameters,
+  handleToggleParameter,
+  selectedGeneralMetric,
+  setSelectedGeneralMetric,
+  setSelectedParameters,
+  concatenatedMetrics,
+  chartData,
+}) {
+  return (
+    <Box
+      display="flex"
+      flexDirection="column"
+      alignItems="center"
+      textAlign="center"
+    >
+      {/* Chart selection buttons */}
+      <ResultsGraphsSelection
+        selectedChart={selectedChart}
+        handleChangeChart={handleChangeChart}
+      />
+
+      {/* Switch Container */}
+      <ResultsGraphsSwitch
+        showCustomMetrics={showCustomMetrics}
+        handleToggleMetrics={handleToggleMetrics}
+      />
+
+      <Box display="flex" justifyContent="flex-start" width="100%">
+        {/* Parameter container */}
+        <ResultsGraphsParameters
+          showCustomMetrics={showCustomMetrics}
+          tabularMetrics={tabularMetrics}
+          selectedParameters={selectedParameters}
+          handleToggleParameter={handleToggleParameter}
+          selectedGeneralMetric={selectedGeneralMetric}
+          setSelectedGeneralMetric={setSelectedGeneralMetric}
+          setSelectedParameters={setSelectedParameters}
+          concatenatedMetrics={concatenatedMetrics}
+        />
+
+        {/* Plotly Chart */}
+        <ResultsGraphsPlot
+          selectedChart={selectedChart}
+          chartData={chartData}
+        />
+      </Box>
+    </Box>
+  );
+}
+
+ResultsGraphsLayout.propTypes = {
+  selectedChart: PropTypes.string.isRequired,
+  handleChangeChart: PropTypes.func.isRequired,
+  showCustomMetrics: PropTypes.bool.isRequired,
+  handleToggleMetrics: PropTypes.func.isRequired,
+  tabularMetrics: PropTypes.array.isRequired,
+  selectedParameters: PropTypes.array.isRequired,
+  handleToggleParameter: PropTypes.func.isRequired,
+  selectedGeneralMetric: PropTypes.string.isRequired,
+  setSelectedGeneralMetric: PropTypes.func.isRequired,
+  setSelectedParameters: PropTypes.func.isRequired,
+  concatenatedMetrics: PropTypes.array.isRequired,
+  chartData: PropTypes.object.isRequired,
+};
+
+export default ResultsGraphsLayout;
diff --git a/DashAI/front/src/pages/results/components/ResultsGraphsParameters.jsx b/DashAI/front/src/pages/results/components/ResultsGraphsParameters.jsx
new file mode 100644
index 00000000..c842a2e2
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsGraphsParameters.jsx
@@ -0,0 +1,86 @@
+import React from "react";
+import PropTypes from "prop-types";
+import {
+  Radio,
+  RadioGroup,
+  FormControlLabel,
+  Box,
+  Checkbox,
+} from "@mui/material";
+
+function ResultsGraphsParameters({
+  showCustomMetrics,
+  tabularMetrics,
+  selectedParameters,
+  handleToggleParameter,
+  selectedGeneralMetric,
+  setSelectedGeneralMetric,
+  setSelectedParameters,
+  concatenatedMetrics,
+}) {
+  return (
+    <Box
+      bgcolor="#2F2F2F"
+      p={2}
+      mr={1}
+      display="flex"
+      flexDirection="column"
+      alignItems="flex-start"
+      width="250px"
+      sx={{
+        "& .MuiCheckbox-root": {
+          padding: "3px 0",
+        },
+        "& .MuiTypography-root": {
+          padding: "3px 0",
+        },
+      }}
+    >
+      {showCustomMetrics ? (
+        tabularMetrics.map((param) => (
+          <FormControlLabel
+            key={param}
+            control={
+              <Checkbox
+                checked={selectedParameters.includes(param)}
+                onChange={() => handleToggleParameter(param)}
+              />
+            }
+            label={param}
+          />
+        ))
+      ) : (
+        <RadioGroup
+          value={selectedGeneralMetric}
+          onChange={(event) => {
+            const selectedMetric = event.target.value;
+            setSelectedGeneralMetric(selectedMetric);
+            setSelectedParameters([selectedMetric]);
+          }}
+        >
+          {concatenatedMetrics.map((param) => (
+            <FormControlLabel
+              key={param}
+              value={param}
+              control={<Radio checked={selectedGeneralMetric === param} />}
+              label={param}
+            />
+          ))}
+        </RadioGroup>
+      )}
+    </Box>
+  );
+}
+
+ResultsGraphsParameters.propTypes = {
+  showCustomMetrics: PropTypes.bool.isRequired,
+  tabularMetrics: PropTypes.array.isRequired,
+  selectedParameters: PropTypes.array.isRequired,
+  handleToggleParameter: PropTypes.func.isRequired,
+  selectedGeneralMetric: PropTypes.string.isRequired,
+  setSelectedGeneralMetric: PropTypes.func.isRequired,
+  setSelectedParameters: PropTypes.func.isRequired,
+  concatenatedMetrics: PropTypes.array.isRequired,
+};
+
+export default ResultsGraphsParameters;
diff --git a/DashAI/front/src/pages/results/components/ResultsGraphsPlot.jsx b/DashAI/front/src/pages/results/components/ResultsGraphsPlot.jsx
new file mode 100644
index 00000000..39e90740
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsGraphsPlot.jsx
@@ -0,0 +1,34 @@
+import React from "react";
+import PropTypes from "prop-types";
+import { Box } from "@mui/material";
+import Plot from "react-plotly.js";
+
+function ResultsGraphsPlot({ selectedChart, chartData }) {
+  return (
+    <Box>
+      <Plot
+        data={
+          selectedChart === "radar"
+            ? chartData.radarValues
+            : selectedChart === "bar"
+            ? chartData.barValues
+            : selectedChart === "pie"
+            ? chartData.pieValues
+            : []
+        }
+        layout={
+          selectedChart === "pie"
+            ? chartData.pieLayout
+            : chartData.generalLayout
+        }
+      />
+    </Box>
+  );
+}
+
+ResultsGraphsPlot.propTypes = {
+  selectedChart: PropTypes.string.isRequired,
+  chartData: PropTypes.object.isRequired,
+};
+
+export default ResultsGraphsPlot;
diff --git a/DashAI/front/src/pages/results/components/ResultsGraphsSelection.jsx b/DashAI/front/src/pages/results/components/ResultsGraphsSelection.jsx
new file mode 100644
index 00000000..332da0bf
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsGraphsSelection.jsx
@@ -0,0 +1,57 @@
+import React from "react";
+import PropTypes from "prop-types";
+import { Box, Button } from "@mui/material";
+
+function ResultsGraphsSelection({ selectedChart, handleChangeChart }) {
+  return (
+    <Box p={2} mb={2}>
+      <Button
+        variant="text"
+        color={selectedChart === "radar" ? "primary" : "inherit"}
+        onClick={() => handleChangeChart("radar")}
+        style={{
+          borderBottom:
+            selectedChart === "radar"
+              ? "2px solid #00bebb"
+              : "2px solid #ffffff",
+          marginRight: "30px",
+          marginTop: "-15px",
+        }}
+      >
+        Radar
+      </Button>
+      <Button
+        variant="text"
+        color={selectedChart === "bar" ? "primary" : "inherit"}
+        onClick={() => handleChangeChart("bar")}
+        style={{
+          borderBottom:
+            selectedChart === "bar" ? "2px solid #00bebb" : "2px solid #ffffff",
+          marginTop: "-15px",
+        }}
+      >
+        Bar
+      </Button>
+      {/* <Button
+        variant="text"
+        color={selectedChart === "pie" ? "primary" : "inherit"}
+        onClick={() => handleChangeChart("pie")}
+        style={{
+          borderBottom:
+            selectedChart === "pie" ? "2px solid #00bebb" : "2px solid #ffffff",
+          marginLeft: "30px",
+          marginTop: "-15px",
+        }}
+      >
+        Pie
+      </Button> */}
+    </Box>
+  );
+}
+
+ResultsGraphsSelection.propTypes = {
+  selectedChart: PropTypes.string.isRequired,
+  handleChangeChart: PropTypes.func.isRequired,
+};
+
+export default ResultsGraphsSelection;
diff --git a/DashAI/front/src/pages/results/components/ResultsGraphsSwitch.jsx b/DashAI/front/src/pages/results/components/ResultsGraphsSwitch.jsx
new file mode 100644
index 00000000..42b58dfc
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsGraphsSwitch.jsx
@@ -0,0 +1,41 @@
+import React from "react";
+import PropTypes from "prop-types";
+import { Switch, Typography, Box } from "@mui/material";
+
+function ResultsGraphsSwitch({ showCustomMetrics, handleToggleMetrics }) {
+  return (
+    <Box mb={2} display="flex" justifyContent="flex-start" width="100%">
+      <Box display="flex" alignItems="center">
+        <Typography variant="subtitle2" style={{ fontSize: "0.8rem" }}>
+          General metrics
+        </Typography>
+      </Box>
+      <Box display="flex" alignItems="center">
+        <Switch
+          checked={showCustomMetrics}
+          onChange={handleToggleMetrics}
+          color="primary"
+          sx={{
+            "& .MuiSwitch-thumb": {
+              backgroundColor: "#00bebb",
+            },
+          }}
+          name="metricsSwitch"
+          inputProps={{ "aria-label": "Cambiar métricas" }}
+        />
+      </Box>
+      <Box display="flex" alignItems="center">
+        <Typography variant="subtitle2" style={{ fontSize: "0.8rem" }}>
+          Custom metrics
+        </Typography>
+      </Box>
+    </Box>
+  );
+}
+
+ResultsGraphsSwitch.propTypes = {
+  showCustomMetrics: PropTypes.bool.isRequired,
+  handleToggleMetrics: PropTypes.func,
+};
+
+export default ResultsGraphsSwitch;
diff --git a/DashAI/front/src/pages/results/components/ResultsTabInfo.jsx b/DashAI/front/src/pages/results/components/ResultsTabInfo.jsx
new file mode 100644
index 00000000..62c43036
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsTabInfo.jsx
@@ -0,0 +1,49 @@
+import { Divider, Grid } from "@mui/material";
+import React from "react";
+import PropTypes from "prop-types";
+
+import ResultsTabInfoName from "./ResultsTabInfoName";
+import ResultsTabInfoDate from "./ResultsTabInfoDate";
+import ResultsTabInfoDescription from "./ResultsTabInfoDescription";
+
+/**
+ * Component that displays general information associated with a run.
+ * @param {object} runData object that contains all the necesary info of the run
+ */
+function ResultsTabInfo({ runData }) {
+  return (
+    <Grid container direction="column">
+      {/* Run name related info */}
+      <ResultsTabInfoName runData={runData} />
+
+      <Divider sx={{ mt: 3, mb: 3 }} />
+
+      {/* Run Date related info */}
+      <ResultsTabInfoDate runData={runData} />
+
+      <Divider sx={{ mt: 3, mb: 3 }} />
+
+      {/* Run description */}
+      <ResultsTabInfoDescription runData={runData} />
+    </Grid>
+  );
+}
+
+ResultsTabInfo.propTypes = {
+  runData: PropTypes.shape({
+    name: PropTypes.string,
+    model_name: PropTypes.string,
+    status: PropTypes.number,
+    id: PropTypes.number,
+    experiment_id: PropTypes.number,
+    run_path: PropTypes.string,
+    created: PropTypes.string,
+    last_modified: PropTypes.string,
+    delivery_time: PropTypes.string,
+    start_time: PropTypes.string,
+    end_time: PropTypes.string,
+    description: PropTypes.string,
+  }).isRequired,
+};
+
+export default ResultsTabInfo;
diff --git a/DashAI/front/src/pages/results/components/ResultsTabInfoDate.jsx b/DashAI/front/src/pages/results/components/ResultsTabInfoDate.jsx
new file mode 100644
index 00000000..04d2ae0e
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsTabInfoDate.jsx
@@ -0,0 +1,35 @@
+import React from "react";
+import PropTypes from "prop-types";
+import { Grid, Typography } from "@mui/material";
+
+import { runDateInfo } from "../constants/runDateInfo";
+import { formatDate } from "../constants/formatDate";
+
+function ResultsTabInfoDate({ runData }) {
+  return (
+    <Grid item>
+      <Grid
+        container
+        direction="row"
+        alignItems="center"
+        rowSpacing={3}
+        columnSpacing={15}
+      >
+        {runDateInfo.map((param) => (
+          <Grid item key={param.key}>
+            <Typography variant="subtitle1">{param.label}</Typography>
+            <Typography variant="p" sx={{ color: "gray" }}>
+              {formatDate(runData[param.key] ?? "-")}
+            </Typography>
+          </Grid>
+        ))}
+      </Grid>
+    </Grid>
+  );
+}
+
+ResultsTabInfoDate.propTypes = {
+  runData: PropTypes.object.isRequired,
+};
+
+export default ResultsTabInfoDate;
diff --git a/DashAI/front/src/pages/results/components/ResultsTabInfoDescription.jsx b/DashAI/front/src/pages/results/components/ResultsTabInfoDescription.jsx
new file mode 100644
index 00000000..f4a05d12
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsTabInfoDescription.jsx
@@ -0,0 +1,20 @@
+import React from "react";
+import PropTypes from "prop-types";
+import { Grid, Typography } from "@mui/material";
+
+function ResultsTabInfoDescription({ runData }) {
+  return (
+    <Grid item>
+      <Typography variant="subtitle1">Description</Typography>
+      <Typography variant="p" sx={{ color: "gray" }}>
+        {runData.description ?? "-"}
+      </Typography>
+    </Grid>
+  );
+}
+
+ResultsTabInfoDescription.propTypes = {
+  runData: PropTypes.object.isRequired,
+};
+
+export default ResultsTabInfoDescription;
diff --git a/DashAI/front/src/pages/results/components/ResultsTabInfoName.jsx b/DashAI/front/src/pages/results/components/ResultsTabInfoName.jsx
new file mode 100644
index 00000000..aa713c63
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsTabInfoName.jsx
@@ -0,0 +1,34 @@
+import React from "react";
+import PropTypes from "prop-types";
+import { Grid, Typography } from "@mui/material";
+
+import { runNameInfo } from "../constants/runNameInfo";
+
+function ResultsTabInfoName({ runData }) {
+  return (
+    <Grid item>
+      <Grid
+        container
+        direction="row"
+        alignItems="center"
+        rowSpacing={3}
+        columnSpacing={15}
+      >
+        {runNameInfo.map((param) => (
+          <Grid item key={param.key}>
+            <Typography variant="subtitle1">{param.label}</Typography>
+            <Typography variant="p" sx={{ color: "gray" }}>
+              {runData[param.key] ?? "-"}
+            </Typography>
+          </Grid>
+        ))}
+      </Grid>
+    </Grid>
+  );
+}
+
+ResultsTabInfoName.propTypes = {
+  runData: PropTypes.object.isRequired,
+};
+
+export default ResultsTabInfoName;
diff --git a/DashAI/front/src/pages/results/components/ResultsTabMetrics.jsx b/DashAI/front/src/pages/results/components/ResultsTabMetrics.jsx
new file mode 100644
index 00000000..04692ee6
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsTabMetrics.jsx
@@ -0,0 +1,55 @@
+import React, { useEffect, useState } from "react";
+import PropTypes from "prop-types";
+import { Grid } from "@mui/material";
+
+import ResultsTabMetricsToggle from "./ResultsTabMetricsToggle";
+import ResultsTabMetricsRuns from "./ResultsTabMetricsRuns";
+
+/**
+ * Component that displays the metrics associated with a run.
+ * @param {object} runData object that contains all the necesary info of the
+ */
+function ResultsTabMetrics({ runData, setUpdateDataFlag }) {
+  const [displaySet, setDisplaySet] = useState("test_metrics");
+
+  // on mount, polling to update the sate of the data
+  useEffect(() => {
+    const intervalId = setInterval(() => {
+      // Check the condition to update the state or stop the interval
+      if (runData.status === 3 && runData[displaySet] === null) {
+        setUpdateDataFlag(true);
+      } else {
+        // Stop the interval when the condition is no longer met
+        clearInterval(intervalId);
+      }
+    }, 1000);
+
+    // Cleanup the interval when the component is unmounted or the dependency array changes
+    return () => clearInterval(intervalId);
+  }, [runData.status, runData[displaySet]]);
+
+  return (
+    <Grid container direction="column" rowSpacing={2}>
+      {/* Toggle to select the set on which the metrics are applied.  */}
+      <ResultsTabMetricsToggle
+        displaySet={displaySet}
+        setDisplaySet={setDisplaySet}
+      />
+
+      {/* metrics */}
+      <ResultsTabMetricsRuns runData={runData} displaySet={displaySet} />
+    </Grid>
+  );
+}
+
+ResultsTabMetrics.propTypes = {
+  runData: PropTypes.shape({
+    status: PropTypes.number,
+    train_metrics: PropTypes.object,
+    test_metrics: PropTypes.object,
+    validation_metrics: PropTypes.object,
+  }),
+  setUpdateDataFlag: PropTypes.func.isRequired,
+};
+
+export default ResultsTabMetrics;
diff --git a/DashAI/front/src/pages/results/components/ResultsTabMetricsRuns.jsx b/DashAI/front/src/pages/results/components/ResultsTabMetricsRuns.jsx
new file mode 100644
index 00000000..a05bddcb
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsTabMetricsRuns.jsx
@@ -0,0 +1,71 @@
+import React from "react";
+import PropTypes from "prop-types";
+import {
+  Alert,
+  AlertTitle,
+  Box,
+  Divider,
+  Grid,
+  LinearProgress,
+  Link,
+  Paper,
+  Typography,
+} from "@mui/material";
+import { Link as RouterLink } from "react-router-dom";
+import { getDisplaySetName } from "../constants/getDisplaySetName";
+
+function ResultsTabMetricsRuns({ runData, displaySet }) {
+  return (
+    <Grid item>
+      <Paper sx={{ borderRadius: 4 }}>
+        <Grid container direction="column" rowSpacing={2} sx={{ mt: 1 }}>
+          {runData[displaySet] === null ? (
+            runData.status === 3 ? (
+              <Box sx={{ width: "100%" }}>
+                <LinearProgress />
+              </Box>
+            ) : (
+              <Alert severity="warning" sx={{ mb: 2 }}>
+                <AlertTitle>
+                  {`There are no metrics associated with the ${getDisplaySetName(
+                    displaySet,
+                  )} set in this run`}
+                </AlertTitle>
+                Go to{" "}
+                <Link component={RouterLink} to="/app/experiments">
+                  experiments tab
+                </Link>{" "}
+                to run your experiment.
+              </Alert>
+            )
+          ) : Object.keys(runData[displaySet]).length === 0 ? (
+            <Alert severity="error" sx={{ mb: 2 }}>
+              <AlertTitle>Error</AlertTitle>
+              <Typography variant="body1">
+                The result metrics for {getDisplaySetName(displaySet)} set are
+                empty.
+              </Typography>
+            </Alert>
+          ) : (
+            Object.keys(runData[displaySet]).map((metric) => (
+              <Grid item key={metric} sx={{ px: 5, py: 1, width: "100%" }}>
+                <Typography variant="p">{metric}</Typography>
+                <Typography variant="p" sx={{ float: "right" }}>
+                  {runData[displaySet][metric].toFixed(2)}
+                </Typography>
+                <Divider sx={{ mt: 1 }} />
+              </Grid>
+            ))
+          )}
+        </Grid>
+      </Paper>
+    </Grid>
+  );
+}
+
+ResultsTabMetricsRuns.propTypes = {
+  runData: PropTypes.object.isRequired,
+  displaySet: PropTypes.string.isRequired,
+};
+
+export default ResultsTabMetricsRuns;
diff --git a/DashAI/front/src/pages/results/components/ResultsTabMetricsToggle.jsx b/DashAI/front/src/pages/results/components/ResultsTabMetricsToggle.jsx
new file mode 100644
index 00000000..3e4393e8
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsTabMetricsToggle.jsx
@@ -0,0 +1,32 @@
+import React from "react";
+import PropTypes from "prop-types";
+import { Grid, ToggleButton, ToggleButtonGroup } from "@mui/material";
+
+function ResultsTabMetricsToggle({ displaySet, setDisplaySet }) {
+  return (
+    <Grid item>
+      <ToggleButtonGroup
+        value={displaySet}
+        exclusive
+        onChange={(event, newSet) => {
+          // condition to enforce value set
+          if (newSet !== null) {
+            setDisplaySet(newSet);
+          }
+        }}
+        sx={{ float: "right" }}
+      >
+        <ToggleButton value="test_metrics">Test</ToggleButton>
+        <ToggleButton value="train_metrics">Train</ToggleButton>
+        <ToggleButton value="validation_metrics">Validation</ToggleButton>
+      </ToggleButtonGroup>
+    </Grid>
+  );
+}
+
+ResultsTabMetricsToggle.propTypes = {
+  displaySet: PropTypes.string.isRequired,
+  setDisplaySet: PropTypes.func.isRequired,
+};
+
+export default ResultsTabMetricsToggle;
diff --git a/DashAI/front/src/pages/results/components/ResultsTabParameters.jsx b/DashAI/front/src/pages/results/components/ResultsTabParameters.jsx
new file mode 100644
index 00000000..ca513a8c
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsTabParameters.jsx
@@ -0,0 +1,43 @@
+import React, { useState } from "react";
+import PropTypes from "prop-types";
+import { Grid } from "@mui/material";
+import ResultsTabParametersToggle from "./ResultsTabParametersToggle";
+import ResultsTabParametersDisplay from "./ResultsTabParametersDisplay";
+
+/**
+ * Component that displays the parameters associated with a run.
+ * @param {object} runData object that contains all the necesary info of the
+ */
+function ResultsTabParameters({ runData }) {
+  const [displayMode, setDisplayMode] = useState("nested-list");
+  return (
+    <Grid container direction="column">
+      {/* Toggle to select the mode of displaying the JSON object. */}
+      <ResultsTabParametersToggle
+        displayMode={displayMode}
+        setDisplayMode={setDisplayMode}
+      />
+
+      {/* JSON object display */}
+      <ResultsTabParametersDisplay
+        displayMode={displayMode}
+        runData={runData}
+      />
+    </Grid>
+  );
+}
+
+ResultsTabParameters.propTypes = {
+  runData: PropTypes.shape({
+    parameters: PropTypes.objectOf(
+      PropTypes.oneOfType([
+        PropTypes.string,
+        PropTypes.number,
+        PropTypes.bool,
+        PropTypes.object,
+      ]),
+    ),
+  }).isRequired,
+};
+
+export default ResultsTabParameters;
diff --git a/DashAI/front/src/pages/results/components/ResultsTabParametersDisplay.jsx b/DashAI/front/src/pages/results/components/ResultsTabParametersDisplay.jsx
new file mode 100644
index 00000000..6e17a7b6
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsTabParametersDisplay.jsx
@@ -0,0 +1,39 @@
+import React from "react";
+import PropTypes from "prop-types";
+import { Grid, Typography } from "@mui/material";
+import ResultsTabParametersDisplayList from "./ResultsTabParametersDisplayList";
+
+function ResultsTabParametersDisplay({ displayMode, runData }) {
+  return (
+    <Grid item>
+      {displayMode === "nested-list" && (
+        <ResultsTabParametersDisplayList
+          name="Parameters"
+          value={runData.parameters}
+        />
+      )}
+
+      {displayMode === "json" && (
+        <Typography variant="body1" component="pre">
+          {JSON.stringify(runData.parameters, null, 4)}
+        </Typography>
+      )}
+    </Grid>
+  );
+}
+
+ResultsTabParametersDisplay.propTypes = {
+  displayMode: PropTypes.oneOf(["nested-list", "json"]).isRequired,
+  runData: PropTypes.shape({
+    parameters: PropTypes.objectOf(
+      PropTypes.oneOfType([
+        PropTypes.string,
+        PropTypes.number,
+        PropTypes.bool,
+        PropTypes.object,
+      ]),
+    ),
+  }).isRequired,
+};
+
+export default ResultsTabParametersDisplay;
diff --git a/DashAI/front/src/components/results/ParameterListItem.jsx b/DashAI/front/src/pages/results/components/ResultsTabParametersDisplayList.jsx
similarity index 85%
rename from DashAI/front/src/components/results/ParameterListItem.jsx
rename to DashAI/front/src/pages/results/components/ResultsTabParametersDisplayList.jsx
index f02eab79..ac021a89 100644
--- a/DashAI/front/src/components/results/ParameterListItem.jsx
+++ b/DashAI/front/src/pages/results/components/ResultsTabParametersDisplayList.jsx
@@ -20,9 +20,12 @@ import PropTypes from "prop-types";
  * @param {object| bool | number| string} value the value of the curent item, it can be the value of the
  * parameter or an object with its own parameters.
  */
-function ParameterListItem({ name, value }) {
+function ResultsTabParametersDisplayList({ name, value }) {
   const [open, setOpen] = useState(name === "Parameters");
 
+  if (value == null) {
+    return null;
+  }
   // configurable object parameter case
   if (value && value.constructor.name === "Object") {
     return (
@@ -37,7 +40,7 @@ function ParameterListItem({ name, value }) {
         <Collapse in={open} timeout="auto" unmountOnExit>
           <List sx={{ pl: 4 }} dense>
             {Object.keys(value).map((paramName) => (
-              <ParameterListItem
+              <ResultsTabParametersDisplayList
                 key={`${name}-${paramName}`}
                 name={paramName}
                 value={value[paramName]}
@@ -56,7 +59,7 @@ function ParameterListItem({ name, value }) {
         primary={<Typography variant="p">{name + ":"}</Typography>}
         secondary={
           <Typography variant="p" sx={{ ml: 1, color: "gray" }}>
-            {value}
+            {typeof value === "boolean" ? String(value) : value}
           </Typography>
         }
       />
@@ -64,7 +67,7 @@ function ParameterListItem({ name, value }) {
   );
 }
 
-ParameterListItem.propTypes = {
+ResultsTabParametersDisplayList.propTypes = {
   name: PropTypes.string.isRequired,
   value: PropTypes.oneOfType([
     PropTypes.string,
@@ -72,7 +75,8 @@ ParameterListItem.propTypes = {
     PropTypes.bool,
     PropTypes.object,
     PropTypes.array,
-  ]).isRequired,
+    PropTypes.oneOf([null]),
+  ]),
 };
 
-export default ParameterListItem;
+export default ResultsTabParametersDisplayList;
diff --git a/DashAI/front/src/pages/results/components/ResultsTabParametersToggle.jsx b/DashAI/front/src/pages/results/components/ResultsTabParametersToggle.jsx
new file mode 100644
index 00000000..7949fb76
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsTabParametersToggle.jsx
@@ -0,0 +1,30 @@
+import React from "react";
+import PropTypes from "prop-types";
+import { Grid, ToggleButton, ToggleButtonGroup } from "@mui/material";
+
+function ResultsTabParametersToggle({ displayMode, setDisplayMode }) {
+  return (
+    <Grid item>
+      <ToggleButtonGroup
+        value={displayMode}
+        exclusive
+        onChange={(event, newMode) => {
+          if (newMode !== null) {
+            setDisplayMode(newMode);
+          }
+        }}
+        sx={{ float: "right" }}
+      >
+        <ToggleButton value="nested-list">List</ToggleButton>
+        <ToggleButton value="json">JSON</ToggleButton>
+      </ToggleButtonGroup>
+    </Grid>
+  );
+}
+
+ResultsTabParametersToggle.propTypes = {
+  displayMode: PropTypes.oneOf(["nested-list", "json"]).isRequired,
+  setDisplayMode: PropTypes.func.isRequired,
+};
+
+export default ResultsTabParametersToggle;
diff --git a/DashAI/front/src/pages/results/components/ResultsTable.jsx b/DashAI/front/src/pages/results/components/ResultsTable.jsx
new file mode 100644
index 00000000..b403dc25
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsTable.jsx
@@ -0,0 +1,107 @@
+import React, { useEffect, useState } from "react";
+import PropTypes from "prop-types";
+import { getRuns as getRunsRequest } from "../../../api/run";
+import { getComponents as getComponentsRequest } from "../../../api/component";
+import { getExperimentById } from "../../../api/experiment";
+import { useSnackbar } from "notistack";
+import { getRunStatus } from "../../../utils/runStatus";
+import ResultsTableLayout from "./ResultsTableLayout";
+
+// constants
+import { extractRows } from "../constants/extractRows";
+import { extractColumns } from "../constants/extractColumns";
+
+/**
+ * This component renders a table that contains the runs associated to an experiment.
+ * @param {string} experimentId id of the experiment whose runs the user wants to analyze.
+ */
+function ResultsTable({ experimentId }) {
+  const { enqueueSnackbar } = useSnackbar();
+
+  const [rows, setRows] = useState([]);
+  const [columns, setColumns] = useState([]);
+  const [columnGroupingModel, setColumnGroupingModel] = useState([]);
+  const [columnVisibilityModel, setColumnVisibilityModel] = useState({});
+  const [loading, setLoading] = useState(false);
+  const [showRunResults, setShowRunResults] = useState(false);
+  const [selectedRunId, setSelectedRunId] = useState(null);
+
+  const handleRunResultsOpen = (runId) => {
+    setSelectedRunId(runId);
+    setShowRunResults(true);
+  };
+
+  const handleCloseRunResults = () => {
+    setShowRunResults(false);
+  };
+
+  const getRuns = async () => {
+    setLoading(true);
+    try {
+      const runs = await getRunsRequest(experimentId);
+      const experiment = await getExperimentById(experimentId);
+      const metrics = await getComponentsRequest({
+        selectTypes: ["Metric"],
+        relatedComponent: experiment.task_name,
+      });
+      const rows = extractRows(runs);
+      const rowsWithStringStatus = rows.map((run) => {
+        return { ...run, status: getRunStatus(run.status) };
+      });
+      const { columns, columnGroupingModel, columnVisibilityModel } =
+        extractColumns(metrics, runs, handleRunResultsOpen);
+      setRows(rowsWithStringStatus);
+      setColumns(columns);
+      setColumnGroupingModel(columnGroupingModel);
+      setColumnVisibilityModel(columnVisibilityModel);
+    } catch (error) {
+      enqueueSnackbar("Error while trying to obtain the runs table.");
+      if (error.response) {
+        console.error("Response error:", error.message);
+      } else if (error.request) {
+        console.error("Request error", error.request);
+      } else {
+        console.error("Unknown Error", error.message);
+      }
+    } finally {
+      setLoading(false);
+    }
+  };
+
+  // fetch the runs and preprocess the data for DataGrid
+  useEffect(() => {
+    if (experimentId !== undefined) {
+      getRuns();
+      setShowRunResults(false);
+      setSelectedRunId(null);
+    }
+  }, [experimentId]);
+
+  return (
+    <ResultsTableLayout
+      experimentId={experimentId}
+      rows={
+        experimentId
+          ? rows.filter((run) => String(run.experiment_id) === experimentId)
+          : []
+      }
+      columns={columns}
+      showRunResults={showRunResults}
+      loading={loading}
+      selectedRunId={selectedRunId}
+      handleCloseRunResults={handleCloseRunResults}
+      columnVisibilityModel={columnVisibilityModel}
+      columnGroupingModel={columnGroupingModel}
+    />
+  );
+}
+
+ResultsTable.propTypes = {
+  experimentId: PropTypes.string,
+};
+
+ResultsTable.defaultProps = {
+  experimentId: undefined,
+};
+
+export default ResultsTable;
diff --git a/DashAI/front/src/pages/results/components/ResultsTableLayout.jsx b/DashAI/front/src/pages/results/components/ResultsTableLayout.jsx
new file mode 100644
index 00000000..c9307a96
--- /dev/null
+++ b/DashAI/front/src/pages/results/components/ResultsTableLayout.jsx
@@ -0,0 +1,87 @@
+import React from "react";
+import PropTypes from "prop-types";
+import { Paper, Alert, AlertTitle, CircularProgress } from "@mui/material";
+import { DataGrid, GridToolbar } from "@mui/x-data-grid";
+import ResultsDetails from "./ResultsDetails";
+
+function ResultsTableLayout({
+  experimentId,
+  rows,
+  columns,
+  showRunResults,
+  loading,
+  selectedRunId,
+  handleCloseRunResults,
+  columnVisibilityModel,
+  columnGroupingModel,
+}) {
+  return (
+    <Paper
+      sx={{
+        p: 4,
+      }}
+    >
+      {experimentId === undefined && (
+        <Alert severity="warning" sx={{ mb: 2 }}>
+          <AlertTitle>No experiment selected</AlertTitle>
+          Select an experiment to see the runs associated to it
+        </Alert>
+      )}
+      {!loading ? (
+        <DataGrid
+          rows={rows}
+          columns={columns}
+          initialState={{
+            pagination: {
+              paginationModel: {
+                pageSize: 10,
+              },
+            },
+            columns: {
+              columnVisibilityModel,
+            },
+          }}
+          experimentalFeatures={{ columnGrouping: true }}
+          columnGroupingModel={columnGroupingModel}
+          slots={{
+            toolbar: GridToolbar,
+          }}
+          pageSizeOptions={[10]}
+          density="compact"
+          disableRowSelectionOnClick
+          autoHeight
+          sx={{
+            ".MuiDataGrid-cell:focus": {
+              outline: "none",
+            },
+            "& .MuiDataGrid-row:hover": {},
+          }}
+        />
+      ) : (
+        <CircularProgress color="inherit" />
+      )}
+
+      {showRunResults && (
+        <ResultsDetails
+          runId={selectedRunId}
+          onClose={handleCloseRunResults}
+          key={selectedRunId}
+        />
+      )}
+    </Paper>
+  );
+}
+
+ResultsTableLayout.propTypes = {
+  experimentId: PropTypes.string,
+  rows: PropTypes.array,
+  columns: PropTypes.array,
+  showRunResults: PropTypes.bool,
+  loading: PropTypes.bool,
+  selectedRunId: PropTypes.number,
+  handleCloseRunResults: PropTypes.func,
+  columnVisibilityModel: PropTypes.objectOf(PropTypes.bool),
+  columnGroupingModel: PropTypes.array,
+};
+
+export default ResultsTableLayout;
diff --git a/DashAI/front/src/pages/results/constants/actionsColumns.jsx b/DashAI/front/src/pages/results/constants/actionsColumns.jsx
new file mode 100644
index 00000000..15324263
--- /dev/null
+++ b/DashAI/front/src/pages/results/constants/actionsColumns.jsx
@@ -0,0 +1,24 @@
+// columns related to open details of runs
+import React from "react";
+import QueryStatsIcon from "@mui/icons-material/QueryStats";
+import { GridActionsCellItem } from "@mui/x-data-grid";
+
+export const actionsColumns = (handleRunResultsOpen) => [
+  {
+    field: "actions",
+    headerName: "Details",
+    type: "actions",
+    minWidth: 80,
+    getActions: (params) => [
+      <GridActionsCellItem
+        key="specific-results-button"
+        icon={<QueryStatsIcon />}
+        label="Run Results"
+        onClick={() => {
+          handleRunResultsOpen(params.id);
+        }}
+        sx={{ color: "primary.main" }}
+      />,
+    ],
+  },
+];
diff --git a/DashAI/front/src/pages/results/constants/extractColumns.jsx b/DashAI/front/src/pages/results/constants/extractColumns.jsx
new file mode 100644
index 00000000..2e886343
--- /dev/null
+++ b/DashAI/front/src/pages/results/constants/extractColumns.jsx
@@ -0,0 +1,54 @@
+import { actionsColumns } from "./actionsColumns";
+import { initialColumns } from "./initialColumns";
+
+export const extractColumns = (rawMetrics, rawRuns, handleRunResultsOpen) => {
+  // extract metrics
+  let metrics = [];
+  for (const metric of rawMetrics) {
+    metrics = [
+      ...metrics,
+      { field: `train_${metric.name}` },
+      { field: `test_${metric.name}` },
+      { field: `val_${metric.name}` },
+    ];
+  }
+
+  // extract parameters
+  let distinctParameters = {};
+  for (const run of rawRuns) {
+    distinctParameters = { ...distinctParameters, ...run.parameters };
+  }
+  const parameters = Object.keys(distinctParameters).map((name) => {
+    return { field: name };
+  });
+
+  // column grouping
+  const columnGroupingModel = [
+    { groupId: "Info", children: [...initialColumns] },
+    { groupId: "Metrics", children: [...metrics] },
+    { groupId: "Parameters", children: [...parameters] },
+  ];
+
+  // column visibility
+  let columnVisibilityModel = {
+    created: false,
+    last_modified: false,
+    start_time: false,
+    end_time: false,
+  };
+  [...metrics, ...parameters].forEach((col) => {
+    if (col.field.includes("test")) {
+      return; // skip this iteration and proceed with the next one
+    }
+    columnVisibilityModel = { ...columnVisibilityModel, [col.field]: false };
+  });
+
+  const columns = [
+    ...actionsColumns(handleRunResultsOpen),
+    ...initialColumns,
+    ...metrics,
+    ...parameters,
+  ];
+
+  return { columns, columnGroupingModel, columnVisibilityModel };
+};
diff --git a/DashAI/front/src/pages/results/constants/extractRows.jsx b/DashAI/front/src/pages/results/constants/extractRows.jsx
new file mode 100644
index 00000000..d9b7c162
--- /dev/null
+++ b/DashAI/front/src/pages/results/constants/extractRows.jsx
@@ -0,0 +1,43 @@
+// name of the properties in the run object that contain objects
+const runObjectProperties = [
+  "train_metrics",
+  "test_metrics",
+  "validation_metrics",
+  "parameters",
+];
+
+// function to get prefixes for the column names of each metric
+const getPrefix = (property) => {
+  switch (property) {
+    case "train_metrics":
+      return "train_";
+    case "test_metrics":
+      return "test_";
+    case "validation_metrics":
+      return "val_";
+    default:
+      return "";
+  }
+};
+
+export const extractRows = (rawRuns) => {
+  let rows = [];
+  rawRuns.forEach((run) => {
+    let newRun = { ...run };
+    runObjectProperties.forEach((p) => {
+      // adds its corresponding prefix to the metric name (e.g. train_F1) and
+      // if the metric value is a number, it is rounded to two decimal places.
+      Object.keys(run[p] ?? {}).forEach((metric) => {
+        newRun = {
+          ...newRun,
+          [`${getPrefix(p)}${metric}`]:
+            typeof run[p][metric] === "number"
+              ? run[p][metric].toFixed(2)
+              : run[p][metric],
+        };
+      });
+    });
+    rows = [...rows, newRun];
+  });
+  return rows;
+};
diff --git a/DashAI/front/src/pages/results/constants/formatDate.jsx b/DashAI/front/src/pages/results/constants/formatDate.jsx
new file mode 100644
index 00000000..64e79b47
--- /dev/null
+++ b/DashAI/front/src/pages/results/constants/formatDate.jsx
@@ -0,0 +1,14 @@
+export const formatDate = (dateStr) => {
+  const date = new Date(dateStr);
+  const options = {
+    year: "numeric",
+    month: "long",
+    day: "numeric",
+    hour: "numeric",
+    minute: "2-digit",
+    second: "2-digit",
+    locale: "en-US",
+  };
+
+  return date.toLocaleString("en-US", options);
+};
diff --git a/DashAI/front/src/pages/results/constants/getDisplaySetName.jsx b/DashAI/front/src/pages/results/constants/getDisplaySetName.jsx
new file mode 100644
index 00000000..b7449280
--- /dev/null
+++ b/DashAI/front/src/pages/results/constants/getDisplaySetName.jsx
@@ -0,0 +1,12 @@
+export const getDisplaySetName = (displaySet) => {
+  switch (displaySet) {
+    case "test_metrics":
+      return "test";
+    case "train_metrics":
+      return "train";
+    case "validation_metrics":
+      return "validation";
+    default:
+      throw new Error(`Error, set name ${displaySet} is not recognized`);
+  }
+};
diff --git a/DashAI/front/src/pages/results/constants/graphsMaking.jsx b/DashAI/front/src/pages/results/constants/graphsMaking.jsx
new file mode 100644
index 00000000..f505b50a
--- /dev/null
+++ b/DashAI/front/src/pages/results/constants/graphsMaking.jsx
@@ -0,0 +1,54 @@
+// Add news graphs and how to generate if applies
+function graphsMaking(
+  graphsToView,
+  item,
+  relevantNumericValues,
+  showCustomMetrics,
+  selectedParameters,
+  generalParameters,
+  pieCounter,
+) {
+  graphsToView.radar = graphsToView.radar || [];
+  graphsToView.bar = graphsToView.bar || [];
+  graphsToView.pie = graphsToView.pie || [];
+
+  // Radar Graph
+  graphsToView.radar.push({
+    type: "scatterpolar",
+    name: item.name,
+    automargin: true,
+    r: relevantNumericValues,
+    theta: showCustomMetrics ? selectedParameters : generalParameters,
+    fill: "toself",
+  });
+
+  // Bar Graph
+  graphsToView.bar.push({
+    type: "bar",
+    automargin: true,
+    name: item.name,
+    x: showCustomMetrics ? selectedParameters : generalParameters,
+    y: relevantNumericValues,
+  });
+
+  // Pie Graph
+  graphsToView.pie.push({
+    type: "pie",
+    name: item.name,
+    automargin: true,
+    title: item.name,
+    labels: showCustomMetrics ? selectedParameters : generalParameters,
+    values: relevantNumericValues,
+    domain: {
+      row: Math.floor(pieCounter / 2),
+      column: pieCounter % 2,
+    },
+    hoverinfo: "label+percent+name",
+    textinfo: "percent",
+    textposition: "inside",
+  });
+
+  return graphsToView;
+}
+
+export default graphsMaking;
diff --git a/DashAI/front/src/pages/results/constants/initialColumns.jsx b/DashAI/front/src/pages/results/constants/initialColumns.jsx
new file mode 100644
index 00000000..748b7305
--- /dev/null
+++ b/DashAI/front/src/pages/results/constants/initialColumns.jsx
@@ -0,0 +1,105 @@
+// columns that are common to all runs
+import React from "react";
+import { styled } from "@mui/material";
+import { formatDate } from "../../../utils";
+
+// style for the cells in the initial columns
+const StyledCell = styled("div")(({ theme, color }) => ({
+  display: "inline-block",
+  padding: theme.spacing(0.5),
+  borderRadius: theme.shape.borderRadius,
+  backgroundColor: color,
+}));
+
+export const initialColumns = [
+  {
+    field: "name",
+    headerName: "Name",
+    minWidth: 150,
+  },
+  {
+    field: "model_name",
+    headerName: "Model",
+    minWidth: 250,
+    renderCell: (params) => {
+      let color;
+      switch (params.value) {
+        case "RandomForestClassifier":
+          color = "#FF8A65";
+          break;
+        case "LogisticRegression":
+          color = "#64B5F6";
+          break;
+        case "KNeighborsClassifier":
+          color = "#FFD54F";
+          break;
+        case "HistGradientBoostingClassifier":
+          color = "#9575CD";
+          break;
+        case "DummyClassifier":
+          color = "#4DB6AC";
+          break;
+        case "SVC":
+          color = "#FF80AB";
+          break;
+        default:
+          color = "#795548";
+          break;
+      }
+      return <StyledCell color={color}>{params.value}</StyledCell>;
+    },
+  },
+  {
+    field: "status",
+    headerName: "Status",
+    minWidth: 160,
+    renderCell: (params) => {
+      let color;
+      switch (params.value) {
+        case "Not Started":
+          color = "#626262";
+          break;
+        case "Finished":
+          color = "#43A047";
+          break;
+        case "Running":
+          color = "#FFEA00";
+          break;
+        case "Error":
+          color = "#A70909";
+          break;
+        default:
+          break;
+      }
+      return <StyledCell color={color}>{params.value}</StyledCell>;
+    },
+  },
+  {
+    field: "created",
+    headerName: "Created",
+    type: Date,
+    minWidth: 140,
+    valueFormatter: (params) => formatDate(params.value),
+  },
+  {
+    field: "last_modified",
+    headerName: "Last modified",
+    type: Date,
+    minWidth: 140,
+    valueFormatter: (params) => formatDate(params.value),
+  },
+  {
+    field: "start_time",
+    headerName: "Start",
+    type: Date,
+    minWidth: 140,
+    valueFormatter: (params) => formatDate(params.value),
+  },
+  {
+    field: "end_time",
+    headerName: "End",
+    type: Date,
+    minWidth: 140,
+    valueFormatter: (params) => formatDate(params.value),
+  },
+];
diff --git a/DashAI/front/src/pages/results/constants/layoutMaking.jsx b/DashAI/front/src/pages/results/constants/layoutMaking.jsx
new file mode 100644
index 00000000..f5516a2d
--- /dev/null
+++ b/DashAI/front/src/pages/results/constants/layoutMaking.jsx
@@ -0,0 +1,35 @@
+// Add news graphs and how to generate if applies
+function layoutMaking(selectedChart, graphsToView) {
+  // General Layout
+  const generalLayout = {
+    polar: {
+      radialaxis: { visible: selectedChart === "radar", range: [0, 1] },
+    },
+    showlegend: true,
+    height: 480,
+    width: 800,
+  };
+
+  // Layout only for Pie Charts
+  let numRows, numColumns;
+  if (graphsToView.pie.length <= 2) {
+    numRows = 1;
+    numColumns = graphsToView.pie.length;
+  } else {
+    numRows = Math.ceil(graphsToView.pie.length / 2);
+    numColumns = Math.min(2, graphsToView.pie.length);
+  }
+
+  const pieLayout = {
+    height: 480,
+    width: 800,
+    grid: { rows: numRows, columns: numColumns },
+    legend: {
+      itemclick: false,
+    },
+  };
+
+  return { generalLayout, pieLayout };
+}
+
+export default layoutMaking;
diff --git a/DashAI/front/src/pages/results/constants/runDateInfo.jsx b/DashAI/front/src/pages/results/constants/runDateInfo.jsx
new file mode 100644
index 00000000..fadc2698
--- /dev/null
+++ b/DashAI/front/src/pages/results/constants/runDateInfo.jsx
@@ -0,0 +1,7 @@
+export const runDateInfo = [
+  { key: "created", label: "Created" },
+  { key: "last_modified", label: "Last Modified" },
+  { key: "delivery_time", label: "Delivery Time" },
+  { key: "start_time", label: "Start Time" },
+  { key: "end_time", label: "End Time" },
+];
diff --git a/DashAI/front/src/pages/results/constants/runNameInfo.jsx b/DashAI/front/src/pages/results/constants/runNameInfo.jsx
new file mode 100644
index 00000000..a4f86368
--- /dev/null
+++ b/DashAI/front/src/pages/results/constants/runNameInfo.jsx
@@ -0,0 +1,8 @@
+export const runNameInfo = [
+  { key: "name", label: "Name" },
+  { key: "model_name", label: "Model Name" },
+  { key: "status", label: "Status" },
+  { key: "id", label: "Run ID" },
+  { key: "experiment_id", label: "Experiment ID" },
+  { key: "run_path", label: "Run Path" },
+];
diff --git a/DashAI/front/src/pages/results/constants/tabsResultsDetails.jsx b/DashAI/front/src/pages/results/constants/tabsResultsDetails.jsx
new file mode 100644
index 00000000..a6ee44b2
--- /dev/null
+++ b/DashAI/front/src/pages/results/constants/tabsResultsDetails.jsx
@@ -0,0 +1,7 @@
+export const tabsResultsDetails = [
+  { label: "Info", value: 0, disabled: false },
+  { label: "Parameters", value: 1, disabled: false },
+  { label: "Metrics", value: 2, disabled: false },
+  { label: "Artifacts", value: 3, disabled: true },
+  { label: "Predict", value: 4, disabled: false },
+];
diff --git a/DashAI/front/yarn.lock b/DashAI/front/yarn.lock
index 5eb13a1c..c60f7883 100644
--- a/DashAI/front/yarn.lock
+++ b/DashAI/front/yarn.lock
@@ -13,19 +13,26 @@ __metadata:
   linkType: hard
 
 "@adobe/css-tools@npm:^4.0.1":
-  version: 4.2.0
-  resolution: "@adobe/css-tools@npm:4.2.0"
-  checksum: dc5cc92ba3d562e7ffddb79d6d222c7e00b65f255fd2725b3d71490ff268844be322f917415d8c4ab39eca646343b632058db8bd5b1d646193fcc94d1d3e420b
+  version: 4.3.3
+  resolution: "@adobe/css-tools@npm:4.3.3"
+  checksum: d21f3786b84911fee59c995a146644a85c98692979097b26484ffa9e442fb1a92ccd68ce984e3e7cf8d5933c3560fbc0ad3e3cd1de50b9a723d1c012e793bbcb
+  languageName: node
+  linkType: hard
+
+"@alloc/quick-lru@npm:^5.2.0":
+  version: 5.2.0
+  resolution: "@alloc/quick-lru@npm:5.2.0"
+  checksum: bdc35758b552bcf045733ac047fb7f9a07c4678b944c641adfbd41f798b4b91fffd0fdc0df2578d9b0afc7b4d636aa6e110ead5d6281a2adc1ab90efd7f057f8
   languageName: node
   linkType: hard
 
 "@ampproject/remapping@npm:^2.2.0":
-  version: 2.2.0
-  resolution: "@ampproject/remapping@npm:2.2.0"
+  version: 2.3.0
+  resolution: "@ampproject/remapping@npm:2.3.0"
   dependencies:
-    "@jridgewell/gen-mapping": ^0.1.0
-    "@jridgewell/trace-mapping": ^0.3.9
-  checksum: d74d170d06468913921d72430259424b7e4c826b5a7d39ff839a29d547efb97dc577caa8ba3fb5cf023624e9af9d09651afc3d4112a45e2050328abc9b3a2292
+    "@jridgewell/gen-mapping": ^0.3.5
+    "@jridgewell/trace-mapping": ^0.3.24
+  checksum: d3ad7b89d973df059c4e8e6d7c972cbeb1bb2f18f002a3bd04ae0707da214cb06cc06929b65aa2313b9347463df2914772298bae8b1d7973f246bb3f2ab3e8f0
   languageName: node
   linkType: hard
 
@@ -42,482 +49,416 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@babel/code-frame@npm:^7.0.0, @babel/code-frame@npm:^7.10.4, @babel/code-frame@npm:^7.12.13, @babel/code-frame@npm:^7.16.0, @babel/code-frame@npm:^7.18.6, @babel/code-frame@npm:^7.21.4, @babel/code-frame@npm:^7.8.3":
-  version: 7.21.4
-  resolution: "@babel/code-frame@npm:7.21.4"
+"@babel/code-frame@npm:^7.0.0, @babel/code-frame@npm:^7.10.4, @babel/code-frame@npm:^7.12.13, @babel/code-frame@npm:^7.16.0, @babel/code-frame@npm:^7.23.5, @babel/code-frame@npm:^7.24.1, @babel/code-frame@npm:^7.24.2, @babel/code-frame@npm:^7.8.3":
+  version: 7.24.2
+  resolution: "@babel/code-frame@npm:7.24.2"
   dependencies:
-    "@babel/highlight": ^7.18.6
-  checksum: e5390e6ec1ac58dcef01d4f18eaf1fd2f1325528661ff6d4a5de8979588b9f5a8e852a54a91b923846f7a5c681b217f0a45c2524eb9560553160cd963b7d592c
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-"eslint-import-resolver-node@npm:^0.3.7":
-  version: 0.3.7
-  resolution: "eslint-import-resolver-node@npm:0.3.7"
+"eslint-import-resolver-node@npm:^0.3.9":
+  version: 0.3.9
+  resolution: "eslint-import-resolver-node@npm:0.3.9"
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-    is-core-module: ^2.11.0
-    resolve: ^1.22.1
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-"eslint-module-utils@npm:^2.7.4":
-  version: 2.7.4
-  resolution: "eslint-module-utils@npm:2.7.4"
+"eslint-module-utils@npm:^2.8.0":
+  version: 2.8.1
+  resolution: "eslint-module-utils@npm:2.8.1"
   dependencies:
     debug: ^3.2.7
   peerDependenciesMeta:
     eslint:
       optional: true
-  checksum: 5da13645daff145a5c922896b258f8bba560722c3767254e458d894ff5fbb505d6dfd945bffa932a5b0ae06714da2379bd41011c4c20d2d59cc83e23895360f7
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@@ -6534,28 +7486,30 @@ eslint-config-standard-with-typescript@latest:
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   linkType: hard
 
-"eslint-plugin-import@npm:^2.25.2, eslint-plugin-import@npm:^2.25.3, eslint-plugin-import@npm:^2.26.0":
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-  resolution: "eslint-plugin-import@npm:2.27.5"
+"eslint-plugin-import@npm:^2.25.2, eslint-plugin-import@npm:^2.25.3":
+  version: 2.29.1
+  resolution: "eslint-plugin-import@npm:2.29.1"
   dependencies:
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-    array.prototype.flat: ^1.3.1
-    array.prototype.flatmap: ^1.3.1
+    array-includes: ^3.1.7
+    array.prototype.findlastindex: ^1.2.3
+    array.prototype.flat: ^1.3.2
+    array.prototype.flatmap: ^1.3.2
     debug: ^3.2.7
     doctrine: ^2.1.0
-    eslint-import-resolver-node: ^0.3.7
-    eslint-module-utils: ^2.7.4
-    has: ^1.0.3
-    is-core-module: ^2.11.0
+    eslint-import-resolver-node: ^0.3.9
+    eslint-module-utils: ^2.8.0
+    hasown: ^2.0.0
+    is-core-module: ^2.13.1
     is-glob: ^4.0.3
     minimatch: ^3.1.2
-    object.values: ^1.1.6
-    resolve: ^1.22.1
-    semver: ^6.3.0
-    tsconfig-paths: ^3.14.1
+    object.fromentries: ^2.0.7
+    object.groupby: ^1.0.1
+    object.values: ^1.1.7
+    semver: ^6.3.1
+    tsconfig-paths: ^3.15.0
   peerDependencies:
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-  checksum: f500571a380167e25d72a4d925ef9a7aae8899eada57653e5f3051ec3d3c16d08271fcefe41a30a9a2f4fefc232f066253673ee4ea77b30dba65ae173dade85d
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@@ -6577,32 +7531,32 @@ eslint-config-standard-with-typescript@latest:
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 "eslint-plugin-jsx-a11y@npm:^6.5.1":
-  version: 6.7.1
-  resolution: "eslint-plugin-jsx-a11y@npm:6.7.1"
-  dependencies:
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-    aria-query: ^5.1.3
-    array-includes: ^3.1.6
-    array.prototype.flatmap: ^1.3.1
-    ast-types-flow: ^0.0.7
-    axe-core: ^4.6.2
-    axobject-query: ^3.1.1
+  version: 6.8.0
+  resolution: "eslint-plugin-jsx-a11y@npm:6.8.0"
+  dependencies:
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+    aria-query: ^5.3.0
+    array-includes: ^3.1.7
+    array.prototype.flatmap: ^1.3.2
+    ast-types-flow: ^0.0.8
+    axe-core: =4.7.0
+    axobject-query: ^3.2.1
     damerau-levenshtein: ^1.0.8
     emoji-regex: ^9.2.2
-    has: ^1.0.3
-    jsx-ast-utils: ^3.3.3
-    language-tags: =1.0.5
+    es-iterator-helpers: ^1.0.15
+    hasown: ^2.0.0
+    jsx-ast-utils: ^3.3.5
+    language-tags: ^1.0.9
     minimatch: ^3.1.2
-    object.entries: ^1.1.6
-    object.fromentries: ^2.0.6
-    semver: ^6.3.0
+    object.entries: ^1.1.7
+    object.fromentries: ^2.0.7
   peerDependencies:
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-  checksum: f166dd5fe7257c7b891c6692e6a3ede6f237a14043ae3d97581daf318fc5833ddc6b4871aa34ab7656187430170500f6d806895747ea17ecdf8231a666c3c2fd
+  checksum: 3dec00e2a3089c4c61ac062e4196a70985fb7eda1fd67fe035363d92578debde92fdb8ed2e472321fc0d71e75f4a1e8888c6a3218c14dd93c8e8d19eb6f51554
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-"eslint-plugin-n@npm:^15.0.0, eslint-plugin-n@npm:^15.1.0":
+"eslint-plugin-n@npm:^15.0.0":
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   resolution: "eslint-plugin-n@npm:15.7.0"
   dependencies:
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   languageName: node
   linkType: hard
 
-"eslint-plugin-react@latest, eslint-plugin-react@npm:^7.27.1, eslint-plugin-react@npm:^7.28.0":
-  version: 7.32.2
-  resolution: "eslint-plugin-react@npm:7.32.2"
+"eslint-plugin-react@npm:^7.27.1, eslint-plugin-react@npm:latest":
+  version: 7.34.1
+  resolution: "eslint-plugin-react@npm:7.34.1"
   dependencies:
-    array-includes: ^3.1.6
-    array.prototype.flatmap: ^1.3.1
-    array.prototype.tosorted: ^1.1.1
+    array-includes: ^3.1.7
+    array.prototype.findlast: ^1.2.4
+    array.prototype.flatmap: ^1.3.2
+    array.prototype.toreversed: ^1.1.2
+    array.prototype.tosorted: ^1.1.3
     doctrine: ^2.1.0
+    es-iterator-helpers: ^1.0.17
     estraverse: ^5.3.0
     jsx-ast-utils: ^2.4.1 || ^3.0.0
     minimatch: ^3.1.2
-    object.entries: ^1.1.6
-    object.fromentries: ^2.0.6
-    object.hasown: ^1.1.2
-    object.values: ^1.1.6
+    object.entries: ^1.1.7
+    object.fromentries: ^2.0.7
+    object.hasown: ^1.1.3
+    object.values: ^1.1.7
     prop-types: ^15.8.1
-    resolve: ^2.0.0-next.4
-    semver: ^6.3.0
-    string.prototype.matchall: ^4.0.8
+    resolve: ^2.0.0-next.5
+    semver: ^6.3.1
+    string.prototype.matchall: ^4.0.10
   peerDependencies:
     eslint: ^3 || ^4 || ^5 || ^6 || ^7 || ^8
-  checksum: 2232b3b8945aa50b7773919c15cd96892acf35d2f82503667a79e2f55def90f728ed4f0e496f0f157acbe1bd4397c5615b676ae7428fe84488a544ca53feb944
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   languageName: node
   linkType: hard
 
 "eslint-plugin-testing-library@npm:^5.0.1":
-  version: 5.10.2
-  resolution: "eslint-plugin-testing-library@npm:5.10.2"
+  version: 5.11.1
+  resolution: "eslint-plugin-testing-library@npm:5.11.1"
   dependencies:
-    "@typescript-eslint/utils": ^5.43.0
+    "@typescript-eslint/utils": ^5.58.0
   peerDependencies:
     eslint: ^7.5.0 || ^8.0.0
-  checksum: 3b2b330e62f4a6dc438050006f0d0c97605f6861828b153271dc6d2fafb1e60f4e86fbaa8166c7afd452e3b6cad39413738fd4c8e2eb2def1915c678154676da
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@@ -6684,13 +7641,13 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"eslint-scope@npm:^7.1.1":
-  version: 7.1.1
-  resolution: "eslint-scope@npm:7.1.1"
+"eslint-scope@npm:^7.2.2":
+  version: 7.2.2
+  resolution: "eslint-scope@npm:7.2.2"
   dependencies:
     esrecurse: ^4.3.0
     estraverse: ^5.2.0
-  checksum: 9f6e974ab2db641ca8ab13508c405b7b859e72afe9f254e8131ff154d2f40c99ad4545ce326fd9fde3212ff29707102562a4834f1c48617b35d98c71a97fbf3e
+  checksum: ec97dbf5fb04b94e8f4c5a91a7f0a6dd3c55e46bfc7bbcd0e3138c3a76977570e02ed89a1810c778dcd72072ff0e9621ba1379b4babe53921d71e2e4486fda3e
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@@ -6738,14 +7695,7 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"eslint-visitor-keys@npm:^3.3.0, eslint-visitor-keys@npm:^3.4.0":
-  version: 3.4.0
-  resolution: "eslint-visitor-keys@npm:3.4.0"
-  checksum: 33159169462d3989321a1ec1e9aaaf6a24cc403d5d347e9886d1b5bfe18ffa1be73bdc6203143a28a606b142b1af49787f33cff0d6d0813eb5f2e8d2e1a6043c
-  languageName: node
-  linkType: hard
-
-"eslint-visitor-keys@npm:^3.4.1, eslint-visitor-keys@npm:^3.4.3":
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   resolution: "eslint-visitor-keys@npm:3.4.3"
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@@ -6775,76 +7725,27 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"eslint@npm:^8.13.0":
-  version: 8.38.0
-  resolution: "eslint@npm:8.38.0"
-  dependencies:
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-    "@eslint/eslintrc": ^2.0.2
-    "@eslint/js": 8.38.0
-    "@humanwhocodes/config-array": ^0.11.8
-    "@humanwhocodes/module-importer": ^1.0.1
-    "@nodelib/fs.walk": ^1.2.8
-    ajv: ^6.10.0
-    chalk: ^4.0.0
-    cross-spawn: ^7.0.2
-    debug: ^4.3.2
-    doctrine: ^3.0.0
-    escape-string-regexp: ^4.0.0
-    eslint-scope: ^7.1.1
-    eslint-visitor-keys: ^3.4.0
-    espree: ^9.5.1
-    esquery: ^1.4.2
-    esutils: ^2.0.2
-    fast-deep-equal: ^3.1.3
-    file-entry-cache: ^6.0.1
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-    globals: ^13.19.0
-    grapheme-splitter: ^1.0.4
-    ignore: ^5.2.0
-    import-fresh: ^3.0.0
-    imurmurhash: ^0.1.4
-    is-glob: ^4.0.0
-    is-path-inside: ^3.0.3
-    js-sdsl: ^4.1.4
-    js-yaml: ^4.1.0
-    json-stable-stringify-without-jsonify: ^1.0.1
-    levn: ^0.4.1
-    lodash.merge: ^4.6.2
-    minimatch: ^3.1.2
-    natural-compare: ^1.4.0
-    optionator: ^0.9.1
-    strip-ansi: ^6.0.1
-    strip-json-comments: ^3.1.0
-    text-table: ^0.2.0
-  bin:
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-  checksum: 73b6d9b650d0434aa7c07d0a1802f099b086ee70a8d8ba7be730439a26572a5eb71def12125c82942be2ec8ee5be38a6f1b42a13e40d4b67f11a148ec9e263eb
-  languageName: node
-  linkType: hard
-
 "eslint@npm:^8.3.0":
-  version: 8.37.0
-  resolution: "eslint@npm:8.37.0"
+  version: 8.57.0
+  resolution: "eslint@npm:8.57.0"
   dependencies:
     "@eslint-community/eslint-utils": ^4.2.0
-    "@eslint-community/regexpp": ^4.4.0
-    "@eslint/eslintrc": ^2.0.2
-    "@eslint/js": 8.37.0
-    "@humanwhocodes/config-array": ^0.11.8
+    "@eslint-community/regexpp": ^4.6.1
+    "@eslint/eslintrc": ^2.1.4
+    "@eslint/js": 8.57.0
+    "@humanwhocodes/config-array": ^0.11.14
     "@humanwhocodes/module-importer": ^1.0.1
     "@nodelib/fs.walk": ^1.2.8
-    ajv: ^6.10.0
+    "@ungap/structured-clone": ^1.2.0
+    ajv: ^6.12.4
     chalk: ^4.0.0
     cross-spawn: ^7.0.2
     debug: ^4.3.2
     doctrine: ^3.0.0
     escape-string-regexp: ^4.0.0
-    eslint-scope: ^7.1.1
-    eslint-visitor-keys: ^3.4.0
-    espree: ^9.5.1
+    eslint-scope: ^7.2.2
+    eslint-visitor-keys: ^3.4.3
+    espree: ^9.6.1
     esquery: ^1.4.2
     esutils: ^2.0.2
     fast-deep-equal: ^3.1.3
@@ -6852,26 +7753,23 @@ eslint-config-standard-with-typescript@latest:
     find-up: ^5.0.0
     glob-parent: ^6.0.2
     globals: ^13.19.0
-    grapheme-splitter: ^1.0.4
+    graphemer: ^1.4.0
     ignore: ^5.2.0
-    import-fresh: ^3.0.0
     imurmurhash: ^0.1.4
     is-glob: ^4.0.0
     is-path-inside: ^3.0.3
-    js-sdsl: ^4.1.4
     js-yaml: ^4.1.0
     json-stable-stringify-without-jsonify: ^1.0.1
     levn: ^0.4.1
     lodash.merge: ^4.6.2
     minimatch: ^3.1.2
     natural-compare: ^1.4.0
-    optionator: ^0.9.1
+    optionator: ^0.9.3
     strip-ansi: ^6.0.1
-    strip-json-comments: ^3.1.0
     text-table: ^0.2.0
   bin:
     eslint: bin/eslint.js
-  checksum: 80f3d5cdce2d671f4794e392d234a78d039c347673defb0596268bd481e8f30a53d93c01ff4f66a546c87d97ab4122c0e9cafe1371f87cb03cee6b7d5aa97595
+  checksum: 3a48d7ff85ab420a8447e9810d8087aea5b1df9ef68c9151732b478de698389ee656fd895635b5f2871c89ee5a2652b3f343d11e9db6f8486880374ebc74a2d9
   languageName: node
   linkType: hard
 
@@ -6919,6 +7817,18 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"esniff@npm:^2.0.1":
+  version: 2.0.1
+  resolution: "esniff@npm:2.0.1"
+  dependencies:
+    d: ^1.0.1
+    es5-ext: ^0.10.62
+    event-emitter: ^0.3.5
+    type: ^2.7.2
+  checksum: d814c0e5c39bce9925b2e65b6d8767af72c9b54f35a65f9f3d6e8c606dce9aebe35a9599d30f15b0807743f88689f445163cfb577a425de4fb8c3c5bc16710cc
+  languageName: node
+  linkType: hard
+
 "espree@npm:^10.0.1":
   version: 10.0.1
   resolution: "espree@npm:10.0.1"
@@ -6930,18 +7840,7 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"espree@npm:^9.5.1":
-  version: 9.5.1
-  resolution: "espree@npm:9.5.1"
-  dependencies:
-    acorn: ^8.8.0
-    acorn-jsx: ^5.3.2
-    eslint-visitor-keys: ^3.4.0
-  checksum: cdf6e43540433d917c4f2ee087c6e987b2063baa85a1d9cdaf51533d78275ebd5910c42154e7baf8e3e89804b386da0a2f7fad2264d8f04420e7506bf87b3b88
-  languageName: node
-  linkType: hard
-
-"espree@npm:^9.6.1":
+"espree@npm:^9.6.0, espree@npm:^9.6.1":
   version: 9.6.1
   resolution: "espree@npm:9.6.1"
   dependencies:
@@ -6952,6 +7851,16 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"esprima@npm:1.2.2":
+  version: 1.2.2
+  resolution: "esprima@npm:1.2.2"
+  bin:
+    esparse: ./bin/esparse.js
+    esvalidate: ./bin/esvalidate.js
+  checksum: 4f10006f0e315f2f7d8cf6630e465f183512f1ab2e862b11785a133ce37ed1696573deefb5256e510eaa4368342b13b393334477f6ccdcdb8f10e782b0f5e6dc
+  languageName: node
+  linkType: hard
+
 "esprima@npm:^4.0.0, esprima@npm:^4.0.1":
   version: 4.0.1
   resolution: "esprima@npm:4.0.1"
@@ -6980,7 +7889,7 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"estraverse@npm:^4.1.1":
+"estraverse@npm:^4.1.1, estraverse@npm:^4.2.0":
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   resolution: "estraverse@npm:4.3.0"
   checksum: a6299491f9940bb246124a8d44b7b7a413a8336f5436f9837aaa9330209bd9ee8af7e91a654a3545aee9c54b3308e78ee360cef1d777d37cfef77d2fa33b5827
@@ -7015,6 +7924,16 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"event-emitter@npm:^0.3.5":
+  version: 0.3.5
+  resolution: "event-emitter@npm:0.3.5"
+  dependencies:
+    d: 1
+    es5-ext: ~0.10.14
+  checksum: 27c1399557d9cd7e0aa0b366c37c38a4c17293e3a10258e8b692a847dd5ba9fb90429c3a5a1eeff96f31f6fa03ccbd31d8ad15e00540b22b22f01557be706030
+  languageName: node
+  linkType: hard
+
 "eventemitter3@npm:^4.0.0":
   version: 4.0.7
   resolution: "eventemitter3@npm:4.0.7"
@@ -7066,15 +7985,22 @@ eslint-config-standard-with-typescript@latest:
   linkType: hard
 
 "expect@npm:^29.0.0":
-  version: 29.5.0
-  resolution: "expect@npm:29.5.0"
+  version: 29.7.0
+  resolution: "expect@npm:29.7.0"
   dependencies:
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-    jest-get-type: ^29.4.3
-    jest-matcher-utils: ^29.5.0
-    jest-message-util: ^29.5.0
-    jest-util: ^29.5.0
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+    "@jest/expect-utils": ^29.7.0
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-  resolution: "express@npm:4.18.2"
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-  resolution: "fastq@npm:1.15.0"
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-  resolution: "formik@npm:2.2.9"
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-  resolution: "fsevents@npm:2.3.2"
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+"geojson-vt@npm:^3.2.1":
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-  resolution: "has@npm:1.0.3"
+"hasown@npm:^2.0.0, hasown@npm:^2.0.1, hasown@npm:^2.0.2":
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   languageName: node
   linkType: hard
 
+"hsluv@npm:^0.0.3":
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+  resolution: "hsluv@npm:0.0.3"
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+
 "html-encoding-sniffer@npm:^2.0.1":
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   resolution: "html-encoding-sniffer@npm:2.0.1"
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 "html-entities@npm:^2.1.0, html-entities@npm:^2.3.2":
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-  resolution: "html-entities@npm:2.3.3"
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+  version: 2.5.2
+  resolution: "html-entities@npm:2.5.2"
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@@ -7960,8 +9178,8 @@ eslint-config-standard-with-typescript@latest:
   linkType: hard
 
 "html-webpack-plugin@npm:^5.5.0":
-  version: 5.5.0
-  resolution: "html-webpack-plugin@npm:5.5.0"
+  version: 5.6.0
+  resolution: "html-webpack-plugin@npm:5.6.0"
   dependencies:
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     html-minifier-terser: ^6.0.2
@@ -7969,8 +9187,14 @@ eslint-config-standard-with-typescript@latest:
     pretty-error: ^4.0.0
     tapable: ^2.0.0
   peerDependencies:
+    "@rspack/core": 0.x || 1.x
     webpack: ^5.20.0
-  checksum: f3d84d0df71fe2f5bac533cc74dce41ab058558cdcc6ff767d166a2abf1cf6fb8491d54d60ddbb34e95c00394e379ba52e0468e0284d1d0cc6a42987056e8219
+  peerDependenciesMeta:
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+    webpack:
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-"http-cache-semantics@npm:^4.1.0":
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-"http-proxy-agent@npm:^5.0.0":
-  version: 5.0.0
-  resolution: "http-proxy-agent@npm:5.0.0"
+"http-proxy-agent@npm:^7.0.0":
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+  resolution: "http-proxy-agent@npm:7.0.2"
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-    agent-base: 6
-    debug: 4
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+    agent-base: ^7.1.0
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@@ -8093,6 +9316,16 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"https-proxy-agent@npm:^7.0.1":
+  version: 7.0.4
+  resolution: "https-proxy-agent@npm:7.0.4"
+  dependencies:
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+    debug: 4
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+  languageName: node
+  linkType: hard
+
 "human-signals@npm:^2.1.0":
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   resolution: "human-signals@npm:2.1.0"
@@ -8100,16 +9333,7 @@ eslint-config-standard-with-typescript@latest:
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-"humanize-ms@npm:^1.2.1":
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-  resolution: "humanize-ms@npm:1.2.1"
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-  languageName: node
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-"iconv-lite@npm:0.4.24":
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   resolution: "iconv-lite@npm:0.4.24"
   dependencies:
@@ -8152,10 +9376,17 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"ieee754@npm:^1.1.12":
+  version: 1.2.1
+  resolution: "ieee754@npm:1.2.1"
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+  languageName: node
+  linkType: hard
+
 "ignore@npm:^5.1.1, ignore@npm:^5.2.0":
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-  resolution: "ignore@npm:5.2.4"
-  checksum: 3d4c309c6006e2621659311783eaea7ebcd41fe4ca1d78c91c473157ad6666a57a2df790fe0d07a12300d9aac2888204d7be8d59f9aaf665b1c7fcdb432517ef
+  version: 5.3.1
+  resolution: "ignore@npm:5.3.1"
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-"import-fresh@npm:^3.0.0, import-fresh@npm:^3.1.0, import-fresh@npm:^3.2.1":
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   resolution: "import-fresh@npm:3.3.0"
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   languageName: node
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-"infer-owner@npm:^1.0.4":
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-  resolution: "infer-owner@npm:1.0.4"
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-  languageName: node
-  linkType: hard
-
 "inflight@npm:^1.0.4":
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   resolution: "inflight@npm:1.0.6"
@@ -8219,7 +9443,7 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"inherits@npm:2, inherits@npm:2.0.4, inherits@npm:^2.0.1, inherits@npm:^2.0.3, inherits@npm:~2.0.3":
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   languageName: node
   linkType: hard
 
-"internal-slot@npm:^1.0.3, internal-slot@npm:^1.0.4, internal-slot@npm:^1.0.5":
-  version: 1.0.5
-  resolution: "internal-slot@npm:1.0.5"
+"internal-slot@npm:^1.0.4, internal-slot@npm:^1.0.7":
+  version: 1.0.7
+  resolution: "internal-slot@npm:1.0.7"
   dependencies:
-    get-intrinsic: ^1.2.0
-    has: ^1.0.3
+    es-errors: ^1.3.0
+    hasown: ^2.0.0
     side-channel: ^1.0.4
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+  checksum: cadc5eea5d7d9bc2342e93aae9f31f04c196afebb11bde97448327049f492cd7081e18623ae71388aac9cd237b692ca3a105be9c68ac39c1dec679d7409e33eb
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-"ip@npm:^2.0.0":
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-  resolution: "ip@npm:2.0.0"
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+"ip-address@npm:^9.0.5":
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+  resolution: "ip-address@npm:9.0.5"
+  dependencies:
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+    sprintf-js: ^1.1.3
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@@ -8266,9 +9493,9 @@ eslint-config-standard-with-typescript@latest:
   linkType: hard
 
 "ipaddr.js@npm:^2.0.1":
-  version: 2.0.1
-  resolution: "ipaddr.js@npm:2.0.1"
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+  version: 2.1.0
+  resolution: "ipaddr.js@npm:2.1.0"
+  checksum: 807a054f2bd720c4d97ee479d6c9e865c233bea21f139fb8dabd5a35c4226d2621c42e07b4ad94ff3f82add926a607d8d9d37c625ad0319f0e08f9f2bd1968e2
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@@ -8282,14 +9509,13 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"is-array-buffer@npm:^3.0.1, is-array-buffer@npm:^3.0.2":
-  version: 3.0.2
-  resolution: "is-array-buffer@npm:3.0.2"
+"is-array-buffer@npm:^3.0.2, is-array-buffer@npm:^3.0.4":
+  version: 3.0.4
+  resolution: "is-array-buffer@npm:3.0.4"
   dependencies:
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-    get-intrinsic: ^1.2.0
-    is-typed-array: ^1.1.10
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+    get-intrinsic: ^1.2.1
+  checksum: e4e3e6ef0ff2239e75371d221f74bc3c26a03564a22efb39f6bb02609b598917ddeecef4e8c877df2a25888f247a98198959842a5e73236bc7f22cabdf6351a7
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@@ -8300,6 +9526,15 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"is-async-function@npm:^2.0.0":
+  version: 2.0.0
+  resolution: "is-async-function@npm:2.0.0"
+  dependencies:
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+  checksum: e3471d95e6c014bf37cad8a93f2f4b6aac962178e0a5041e8903147166964fdc1c5c1d2ef87e86d77322c370ca18f2ea004fa7420581fa747bcaf7c223069dbd
+  languageName: node
+  linkType: hard
+
 "is-bigint@npm:^1.0.1":
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   resolution: "is-bigint@npm:1.0.4"
@@ -8328,6 +9563,13 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"is-browser@npm:^2.0.1":
+  version: 2.1.0
+  resolution: "is-browser@npm:2.1.0"
+  checksum: fe8d9a68d028a8b16111b70ff662efc163b4708dc3a26024ff83a3416b6221321289de95b41abcb72cd41884e01a815d587e2086c98df5662137c6fe38bb3d73
+  languageName: node
+  linkType: hard
+
 "is-callable@npm:^1.1.3, is-callable@npm:^1.1.4, is-callable@npm:^1.2.7":
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   resolution: "is-callable@npm:1.2.7"
@@ -8335,12 +9577,21 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"is-core-module@npm:^2.11.0, is-core-module@npm:^2.9.0":
-  version: 2.11.0
-  resolution: "is-core-module@npm:2.11.0"
+"is-core-module@npm:^2.11.0, is-core-module@npm:^2.13.0, is-core-module@npm:^2.13.1":
+  version: 2.13.1
+  resolution: "is-core-module@npm:2.13.1"
+  dependencies:
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+  checksum: 256559ee8a9488af90e4bad16f5583c6d59e92f0742e9e8bb4331e758521ee86b810b93bae44f390766ffbc518a0488b18d9dab7da9a5ff997d499efc9403f7c
+  languageName: node
+  linkType: hard
+
+"is-data-view@npm:^1.0.1":
+  version: 1.0.1
+  resolution: "is-data-view@npm:1.0.1"
   dependencies:
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-  checksum: f96fd490c6b48eb4f6d10ba815c6ef13f410b0ba6f7eb8577af51697de523e5f2cd9de1c441b51d27251bf0e4aebc936545e33a5d26d5d51f28d25698d4a8bab
+    is-typed-array: ^1.1.13
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@@ -8369,6 +9620,29 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"is-finalizationregistry@npm:^1.0.2":
+  version: 1.0.2
+  resolution: "is-finalizationregistry@npm:1.0.2"
+  dependencies:
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+  languageName: node
+  linkType: hard
+
+"is-finite@npm:^1.0.1":
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+  resolution: "is-finite@npm:1.1.0"
+  checksum: 532b97ed3d03e04c6bd203984d9e4ba3c0c390efee492bad5d1d1cd1802a68ab27adbd3ef6382f6312bed6c8bb1bd3e325ea79a8dc8fe080ed7a06f5f97b93e7
+  languageName: node
+  linkType: hard
+
+"is-firefox@npm:^1.0.3":
+  version: 1.0.3
+  resolution: "is-firefox@npm:1.0.3"
+  checksum: 8d4800d6804373ac83bf636a0cfe5b0a5d60ab9a129f0c9eeb4ec604a46f91703c965ad9123c9c1858f56ed71369988a51c1f40afb579e205e50c856abd9b59b
+  languageName: node
+  linkType: hard
+
 "is-fullwidth-code-point@npm:^3.0.0":
   version: 3.0.0
   resolution: "is-fullwidth-code-point@npm:3.0.0"
@@ -8383,6 +9657,15 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"is-generator-function@npm:^1.0.10":
+  version: 1.0.10
+  resolution: "is-generator-function@npm:1.0.10"
+  dependencies:
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+  checksum: d54644e7dbaccef15ceb1e5d91d680eb5068c9ee9f9eb0a9e04173eb5542c9b51b5ab52c5537f5703e48d5fddfd376817c1ca07a84a407b7115b769d4bdde72b
+  languageName: node
+  linkType: hard
+
 "is-glob@npm:^4.0.0, is-glob@npm:^4.0.1, is-glob@npm:^4.0.3, is-glob@npm:~4.0.1":
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   resolution: "is-glob@npm:4.0.3"
@@ -8392,6 +9675,13 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"is-iexplorer@npm:^1.0.0":
+  version: 1.0.0
+  resolution: "is-iexplorer@npm:1.0.0"
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+  languageName: node
+  linkType: hard
+
 "is-lambda@npm:^1.0.1":
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   resolution: "is-lambda@npm:1.0.1"
@@ -8399,10 +9689,17 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"is-map@npm:^2.0.1, is-map@npm:^2.0.2":
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-  resolution: "is-map@npm:2.0.2"
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+"is-map@npm:^2.0.2, is-map@npm:^2.0.3":
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+  resolution: "is-map@npm:2.0.3"
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+  languageName: node
+  linkType: hard
+
+"is-mobile@npm:^4.0.0":
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-  languageName: node
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   resolution: "json-parse-even-better-errors@npm:2.3.1"
@@ -9509,8 +10849,8 @@ eslint-config-standard-with-typescript@latest:
   linkType: hard
 
 "json-server@npm:^0.17.3":
-  version: 0.17.3
-  resolution: "json-server@npm:0.17.3"
+  version: 0.17.4
+  resolution: "json-server@npm:0.17.4"
   dependencies:
     body-parser: ^1.19.0
     chalk: ^4.1.2
@@ -9530,11 +10870,10 @@ eslint-config-standard-with-typescript@latest:
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     pluralize: ^8.0.0
     server-destroy: ^1.0.1
-    standard: ^17.0.0
     yargs: ^17.0.1
   bin:
     json-server: lib/cli/bin.js
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+  checksum: 9462010ac0d106c0ed8cc9b5446dad7c3977c9649b6854383a0d81f2259049614cb879808a9bb6cbb3f15f48fee7263eafd26d9a7cd2d2eba61dd9d7bd89dbf4
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@@ -9556,7 +10895,7 @@ eslint-config-standard-with-typescript@latest:
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-"json5@npm:^2.1.2, json5@npm:^2.2.0, json5@npm:^2.2.2":
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   resolution: "json5@npm:2.2.3"
   bin:
@@ -9578,6 +10917,17 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"jsonpath@npm:^1.1.1":
+  version: 1.1.1
+  resolution: "jsonpath@npm:1.1.1"
+  dependencies:
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+    static-eval: 2.0.2
+    underscore: 1.12.1
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+  languageName: node
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+
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   resolution: "jsonpointer@npm:5.0.1"
@@ -9585,17 +10935,26 @@ eslint-config-standard-with-typescript@latest:
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-"jsx-ast-utils@npm:^2.4.1 || ^3.0.0, jsx-ast-utils@npm:^3.3.3":
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-  resolution: "jsx-ast-utils@npm:3.3.3"
+"jsx-ast-utils@npm:^2.4.1 || ^3.0.0, jsx-ast-utils@npm:^3.3.5":
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+  resolution: "jsx-ast-utils@npm:3.3.5"
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-    object.assign: ^4.1.3
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+    array-includes: ^3.1.6
+    array.prototype.flat: ^1.3.1
+    object.assign: ^4.1.4
+    object.values: ^1.1.6
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+  languageName: node
+  linkType: hard
+
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+  resolution: "kdbush@npm:3.0.0"
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   resolution: "keyv@npm:4.5.4"
   dependencies:
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-"language-subtag-registry@npm:~0.3.2":
+"language-subtag-registry@npm:^0.3.20":
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   languageName: node
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-"language-tags@npm:=1.0.5":
-  version: 1.0.5
-  resolution: "language-tags@npm:1.0.5"
+"language-tags@npm:^1.0.9":
+  version: 1.0.9
+  resolution: "language-tags@npm:1.0.9"
   dependencies:
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-  checksum: c81b5d8b9f5f9cfd06ee71ada6ddfe1cf83044dd5eeefcd1e420ad491944da8957688db4a0a9bc562df4afdc2783425cbbdfd152c01d93179cf86888903123cf
+    language-subtag-registry: ^0.3.20
+  checksum: 57c530796dc7179914dee71bc94f3747fd694612480241d0453a063777265dfe3a951037f7acb48f456bf167d6eb419d4c00263745326b3ba1cdcf4657070e78
   languageName: node
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-  version: 2.6.0
-  resolution: "launch-editor@npm:2.6.0"
+  version: 2.6.1
+  resolution: "launch-editor@npm:2.6.1"
   dependencies:
     picocolors: ^1.0.0
-    shell-quote: ^1.7.3
-  checksum: 48e4230643e8fdb5c14c11314706d58d9f3fbafe2606be3d6e37da1918ad8bfe39dd87875c726a1b59b9f4da99d87ec3e36d4c528464f0b820f9e91e5cb1c02d
+    shell-quote: ^1.8.1
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@@ -9678,13 +11037,20 @@ eslint-config-standard-with-typescript@latest:
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-"lilconfig@npm:^2.0.3, lilconfig@npm:^2.0.5, lilconfig@npm:^2.0.6":
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   languageName: node
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+"lilconfig@npm:^3.0.0":
+  version: 3.1.1
+  resolution: "lilconfig@npm:3.1.1"
+  checksum: dc8a4f4afde3f0fac6bd36163cc4777a577a90759b8ef1d0d766b19ccf121f723aa79924f32af5b954f3965268215e046d0f237c41c76e5ef01d4e6d1208a15e
+  languageName: node
+  linkType: hard
+
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   resolution: "lines-and-columns@npm:1.2.4"
@@ -9692,19 +11058,6 @@ eslint-config-standard-with-typescript@latest:
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   linkType: hard
 
-"load-json-file@npm:^5.2.0":
-  version: 5.3.0
-  resolution: "load-json-file@npm:5.3.0"
-  dependencies:
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-    parse-json: ^4.0.0
-    pify: ^4.0.1
-    strip-bom: ^3.0.0
-    type-fest: ^0.3.0
-  checksum: 8bf15599db9471e264d916f98f1f51eb5d1e6a26d0ec3711d17df54d5983ccba1a0a4db2a6490bb27171f1261b72bf237d557f34e87d26e724472b92bdbdd4f7
-  languageName: node
-  linkType: hard
-
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   resolution: "loader-runner@npm:4.3.0"
@@ -9847,6 +11200,13 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"lru-cache@npm:^10.0.1, lru-cache@npm:^10.2.0":
+  version: 10.2.0
+  resolution: "lru-cache@npm:10.2.0"
+  checksum: eee7ddda4a7475deac51ac81d7dd78709095c6fa46e8350dc2d22462559a1faa3b81ed931d5464b13d48cbd7e08b46100b6f768c76833912bc444b99c37e25db
+  languageName: node
+  linkType: hard
+
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   resolution: "lru-cache@npm:5.1.1"
@@ -9865,14 +11225,7 @@ eslint-config-standard-with-typescript@latest:
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-"lru-cache@npm:^7.7.1":
-  version: 7.18.3
-  resolution: "lru-cache@npm:7.18.3"
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-
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   resolution: "lz-string@npm:1.5.0"
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-"make-dir@npm:^3.0.0, make-dir@npm:^3.0.2, make-dir@npm:^3.1.0":
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   resolution: "make-dir@npm:3.1.0"
   dependencies:
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   languageName: node
   linkType: hard
 
-"make-fetch-happen@npm:^10.0.3":
-  version: 10.2.1
-  resolution: "make-fetch-happen@npm:10.2.1"
+"make-dir@npm:^4.0.0":
+  version: 4.0.0
+  resolution: "make-dir@npm:4.0.0"
   dependencies:
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-    cacache: ^16.1.0
-    http-cache-semantics: ^4.1.0
-    http-proxy-agent: ^5.0.0
-    https-proxy-agent: ^5.0.0
+    semver: ^7.5.3
+  checksum: bf0731a2dd3aab4db6f3de1585cea0b746bb73eb5a02e3d8d72757e376e64e6ada190b1eddcde5b2f24a81b688a9897efd5018737d05e02e2a671dda9cff8a8a
+  languageName: node
+  linkType: hard
+
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+  resolution: "make-fetch-happen@npm:13.0.0"
+  dependencies:
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+    cacache: ^18.0.0
+    http-cache-semantics: ^4.1.1
     is-lambda: ^1.0.1
-    lru-cache: ^7.7.1
-    minipass: ^3.1.6
-    minipass-collect: ^1.0.2
-    minipass-fetch: ^2.0.3
+    minipass: ^7.0.2
+    minipass-fetch: ^3.0.0
     minipass-flush: ^1.0.5
     minipass-pipeline: ^1.2.4
     negotiator: ^0.6.3
     promise-retry: ^2.0.1
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@@ -9932,6 +11289,22 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"map-limit@npm:0.0.1":
+  version: 0.0.1
+  resolution: "map-limit@npm:0.0.1"
+  dependencies:
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+  checksum: e7ad9a66037d4168f2e3dbd20654cb0503126911e0e43c8fe95ae1a3ea54b72e84f94f8577a13598708a29a096cc6ecf136622ea6a5d393c227f84f6f1445b83
+  languageName: node
+  linkType: hard
+
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+  version: 1.0.1
+  resolution: "math-log2@npm:1.0.1"
+  checksum: b9a9c746ec0b28157865b5b9e9bdba25d04b77112f45ec65eb129b07ae42b0f017d59919d21e409fb6bb6587da28e5c40b4e49e80b917fa00a74f7ea5446932e
+  languageName: node
+  linkType: hard
+
 "mdn-data@npm:2.0.14":
   version: 2.0.14
   resolution: "mdn-data@npm:2.0.14"
@@ -9954,11 +11327,11 @@ eslint-config-standard-with-typescript@latest:
   linkType: hard
 
 "memfs@npm:^3.1.2, memfs@npm:^3.4.3":
-  version: 3.4.13
-  resolution: "memfs@npm:3.4.13"
+  version: 3.5.3
+  resolution: "memfs@npm:3.5.3"
   dependencies:
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-  checksum: 3f9717d6f060919d53f211acb6096a0ea2f566a8cbcc4ef7e1f2561e31e33dc456053fdf951c90a49c8ec55402de7f01b006b81683ab7bd4bdbbd8c9b9cdae5f
+    fs-monkey: ^1.0.4
+  checksum: 18dfdeacad7c8047b976a6ccd58bc98ba76e122ad3ca0e50a21837fe2075fc0d9aafc58ab9cf2576c2b6889da1dd2503083f2364191b695273f40969db2ecc44
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@@ -10052,13 +11425,14 @@ eslint-config-standard-with-typescript@latest:
   linkType: hard
 
 "mini-css-extract-plugin@npm:^2.4.5":
-  version: 2.7.5
-  resolution: "mini-css-extract-plugin@npm:2.7.5"
+  version: 2.9.0
+  resolution: "mini-css-extract-plugin@npm:2.9.0"
   dependencies:
     schema-utils: ^4.0.0
+    tapable: ^2.2.1
   peerDependencies:
     webpack: ^5.0.0
-  checksum: afc37cdfb765e8826a1babbab3cd8a99ffc4eaeabb6c013a6b3c80801e44ebc37d930b98c6f66168bb8cd545fcb2e8fc2630d72b4501a1bb8add1547c2534a53
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@@ -10069,6 +11443,15 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"minimatch@npm:9.0.3":
+  version: 9.0.3
+  resolution: "minimatch@npm:9.0.3"
+  dependencies:
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+  languageName: node
+  linkType: hard
+
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   resolution: "minimatch@npm:3.1.2"
@@ -10087,34 +11470,43 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"minimist@npm:^1.2.0, minimist@npm:^1.2.6":
+"minimatch@npm:^9.0.1":
+  version: 9.0.4
+  resolution: "minimatch@npm:9.0.4"
+  dependencies:
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+  checksum: cf717f597ec3eed7dabc33153482a2e8d49f4fd3c26e58fd9c71a94c5029a0838728841b93f46bf1263b65a8010e2ee800d0dc9b004ab8ba8b6d1ec07cc115b5
+  languageName: node
+  linkType: hard
+
+"minimist@npm:^1.2.0, minimist@npm:^1.2.5, minimist@npm:^1.2.6":
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-"minipass-collect@npm:^1.0.2":
-  version: 1.0.2
-  resolution: "minipass-collect@npm:1.0.2"
+"minipass-collect@npm:^2.0.1":
+  version: 2.0.1
+  resolution: "minipass-collect@npm:2.0.1"
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-  version: 2.1.2
-  resolution: "minipass-fetch@npm:2.1.2"
+"minipass-fetch@npm:^3.0.0":
+  version: 3.0.4
+  resolution: "minipass-fetch@npm:3.0.4"
   dependencies:
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-    minipass: ^3.1.6
+    minipass: ^7.0.3
     minipass-sized: ^1.0.3
     minizlib: ^2.1.2
   dependenciesMeta:
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@@ -10145,7 +11537,7 @@ eslint-config-standard-with-typescript@latest:
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-"minipass@npm:^3.0.0, minipass@npm:^3.1.1, minipass@npm:^3.1.6":
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   languageName: node
   linkType: hard
 
-"minipass@npm:^4.0.0":
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-  resolution: "minipass@npm:4.2.5"
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+  languageName: node
+  linkType: hard
+
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-"mkdirp@npm:^1.0.3, mkdirp@npm:^1.0.4":
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   bin:
@@ -10204,6 +11603,40 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"mouse-change@npm:^1.4.0":
+  version: 1.4.0
+  resolution: "mouse-change@npm:1.4.0"
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+  resolution: "mouse-wheel@npm:1.2.0"
+  dependencies:
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+    signum: ^1.0.0
+    to-px: ^1.0.1
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+  languageName: node
+  linkType: hard
+
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   resolution: "ms@npm:2.0.0"
@@ -10211,14 +11644,14 @@ eslint-config-standard-with-typescript@latest:
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@@ -10237,6 +11670,22 @@ eslint-config-standard-with-typescript@latest:
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   linkType: hard
 
+"mumath@npm:^3.3.4":
+  version: 3.3.4
+  resolution: "mumath@npm:3.3.4"
+  dependencies:
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+  resolution: "murmurhash-js@npm:1.0.0"
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+  languageName: node
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+
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   resolution: "mz@npm:2.7.0"
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-  version: 3.3.6
-  resolution: "nanoid@npm:3.3.6"
+"nanoid@npm:^3.1.23, nanoid@npm:^3.3.7":
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+  resolution: "nanoid@npm:3.3.7"
   bin:
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+  resolution: "native-promise-only@npm:0.8.1"
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@@ -10278,6 +11734,19 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"needle@npm:^2.5.2":
+  version: 2.9.1
+  resolution: "needle@npm:2.9.1"
+  dependencies:
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+    iconv-lite: ^0.4.4
+    sax: ^1.2.4
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+  languageName: node
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+
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   resolution: "negotiator@npm:0.6.3"
@@ -10292,6 +11761,13 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"next-tick@npm:^1.1.0":
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+  resolution: "next-tick@npm:1.1.0"
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+  languageName: node
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+
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   resolution: "no-case@npm:3.0.4"
@@ -10310,22 +11786,22 @@ eslint-config-standard-with-typescript@latest:
   linkType: hard
 
 "node-gyp@npm:latest":
-  version: 9.3.1
-  resolution: "node-gyp@npm:9.3.1"
+  version: 10.1.0
+  resolution: "node-gyp@npm:10.1.0"
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-    glob: ^7.1.4
+    exponential-backoff: ^3.1.1
+    glob: ^10.3.10
     graceful-fs: ^4.2.6
-    make-fetch-happen: ^10.0.3
-    nopt: ^6.0.0
-    npmlog: ^6.0.0
-    rimraf: ^3.0.2
+    make-fetch-happen: ^13.0.0
+    nopt: ^7.0.0
+    proc-log: ^3.0.0
     semver: ^7.3.5
     tar: ^6.1.2
-    which: ^2.0.2
+    which: ^4.0.0
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-  resolution: "nopt@npm:6.0.0"
+"nopt@npm:^7.0.0":
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+  resolution: "nopt@npm:7.2.0"
   dependencies:
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+    abbrev: ^2.0.0
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   languageName: node
   linkType: hard
 
+"normalize-svg-path@npm:^1.0.0":
+  version: 1.1.0
+  resolution: "normalize-svg-path@npm:1.1.0"
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+  languageName: node
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+
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   resolution: "normalize-url@npm:6.1.0"
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-  resolution: "npmlog@npm:6.0.2"
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-
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@@ -10427,14 +11907,23 @@ eslint-config-standard-with-typescript@latest:
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+"number-is-integer@npm:^1.0.1":
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+  resolution: "number-is-integer@npm:1.0.1"
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-  resolution: "object-is@npm:1.1.5"
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-  resolution: "object.assign@npm:4.1.4"
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@@ -10571,7 +12076,7 @@ eslint-config-standard-with-typescript@latest:
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-"once@npm:^1.3.0":
+"once@npm:^1.3.0, once@npm:^1.4.0":
   version: 1.4.0
   resolution: "once@npm:1.4.0"
   dependencies:
@@ -10580,6 +12085,15 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"once@npm:~1.3.0":
+  version: 1.3.3
+  resolution: "once@npm:1.3.3"
+  dependencies:
+    wrappy: 1
+  checksum: 8e832de08b1d73b470e01690c211cb4fcefccab1fd1bd19e706d572d74d3e9b7e38a8bfcdabdd364f9f868757d9e8e5812a59817dc473eaf698ff3bfae2219f2
+  languageName: node
+  linkType: hard
+
 "onetime@npm:^5.1.2":
   version: 5.1.2
   resolution: "onetime@npm:5.1.2"
@@ -10602,29 +12116,15 @@ eslint-config-standard-with-typescript@latest:
 
 "optionator@npm:^0.8.1":
   version: 0.8.3
-  resolution: "optionator@npm:0.8.3"
-  dependencies:
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-    fast-levenshtein: ~2.0.6
-    levn: ~0.3.0
-    prelude-ls: ~1.1.2
-    type-check: ~0.3.2
-    word-wrap: ~1.2.3
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-  languageName: node
-  linkType: hard
-
-"optionator@npm:^0.9.1":
-  version: 0.9.1
-  resolution: "optionator@npm:0.9.1"
-  dependencies:
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-    fast-levenshtein: ^2.0.6
-    levn: ^0.4.1
-    prelude-ls: ^1.2.1
-    type-check: ^0.4.0
-    word-wrap: ^1.2.3
-  checksum: dbc6fa065604b24ea57d734261914e697bd73b69eff7f18e967e8912aa2a40a19a9f599a507fa805be6c13c24c4eae8c71306c239d517d42d4c041c942f508a0
+  resolution: "optionator@npm:0.8.3"
+  dependencies:
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+    fast-levenshtein: ~2.0.6
+    levn: ~0.3.0
+    prelude-ls: ~1.1.2
+    type-check: ~0.3.2
+    word-wrap: ~1.2.3
+  checksum: b8695ddf3d593203e25ab0900e265d860038486c943ff8b774f596a310f8ceebdb30c6832407a8198ba3ec9debe1abe1f51d4aad94843612db3b76d690c61d34
   languageName: node
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@@ -10732,13 +12232,10 @@ eslint-config-standard-with-typescript@latest:
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-"parse-json@npm:^4.0.0":
-  version: 4.0.0
-  resolution: "parse-json@npm:4.0.0"
-  dependencies:
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-    json-parse-better-errors: ^1.0.1
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+"parenthesis@npm:^3.1.5":
+  version: 3.1.8
+  resolution: "parenthesis@npm:3.1.8"
+  checksum: 47d86bb7d9d7d50cfa89c1766a8d4a1223c054ac6d3d2e5baad64cb5c680a2d5d51c26008f2e192300f6111e378f7ca78f6d6ef9732788db059b14815ce05706
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@@ -10754,6 +12251,29 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"parse-rect@npm:^1.2.0":
+  version: 1.2.0
+  resolution: "parse-rect@npm:1.2.0"
+  dependencies:
+    pick-by-alias: ^1.2.0
+  checksum: 5abf383475cef7a0bc636b80c56e0202a1f428f219c3fa7f2a3f57d60ccaecacc6fefa37fa28275989c6d330e0157dcadc54d03761c46f961188b1ffde00afe3
+  languageName: node
+  linkType: hard
+
+"parse-svg-path@npm:^0.1.2":
+  version: 0.1.2
+  resolution: "parse-svg-path@npm:0.1.2"
+  checksum: bba7d4b4207fcc9eaf553b0d34db96ea8a1173635bc94528b5b66e1581902d4792d8d6229103764f01af4d839274234e97a4fa1c6f0fe7dcce195383848cec56
+  languageName: node
+  linkType: hard
+
+"parse-unit@npm:^1.0.1":
+  version: 1.0.1
+  resolution: "parse-unit@npm:1.0.1"
+  checksum: fdd7d2b91a3e536d7835e408caec21345eac6d4ae442d0cfecd5ebb8750c89cfc3ed4cd5da389826313134aedca04e30e52188005b564ec13c212720821731c8
+  languageName: node
+  linkType: hard
+
 "parse5@npm:6.0.1":
   version: 6.0.1
   resolution: "parse5@npm:6.0.1"
@@ -10813,6 +12333,16 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"path-scurry@npm:^1.10.2":
+  version: 1.10.2
+  resolution: "path-scurry@npm:1.10.2"
+  dependencies:
+    lru-cache: ^10.2.0
+    minipass: ^5.0.0 || ^6.0.2 || ^7.0.0
+  checksum: 6739b4290f7d1a949c61c758b481c07ac7d1a841964c68cf5e1fa153d7e18cbde4872b37aadf9c5173c800d627f219c47945859159de36c977dd82419997b9b8
+  languageName: node
+  linkType: hard
+
 "path-to-regexp@npm:0.1.7":
   version: 0.1.7
   resolution: "path-to-regexp@npm:0.1.7"
@@ -10836,6 +12366,18 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"pbf@npm:^3.2.1":
+  version: 3.2.1
+  resolution: "pbf@npm:3.2.1"
+  dependencies:
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+    resolve-protobuf-schema: ^2.1.0
+  bin:
+    pbf: bin/pbf
+  checksum: 8033f5e21fffdc485e85d50bbff07ab3313c6841c3630a4ba9bc9e82d2e9005ab92000a1a90cb911223caa44316293e367bab607dd8110d5c771e6c8aaad63e1
+  languageName: node
+  linkType: hard
+
 "performance-now@npm:^2.1.0":
   version: 2.1.0
   resolution: "performance-now@npm:2.1.0"
@@ -10843,6 +12385,13 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"pick-by-alias@npm:^1.2.0":
+  version: 1.2.0
+  resolution: "pick-by-alias@npm:1.2.0"
+  checksum: 720c85f13a75f7ca865fdc44f924419b47ec0e21555c523b3c6ed3dd7304e1447255a092fb49a2d55f30252d5856be9aa044ef00822eb08dad4368db230d1b19
+  languageName: node
+  linkType: hard
+
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   version: 0.2.1
   resolution: "picocolors@npm:0.2.1"
@@ -10878,27 +12427,10 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"pify@npm:^4.0.1":
-  version: 4.0.1
-  resolution: "pify@npm:4.0.1"
-  checksum: 9c4e34278cb09987685fa5ef81499c82546c033713518f6441778fbec623fc708777fe8ac633097c72d88470d5963094076c7305cafc7ad340aae27cfacd856b
-  languageName: node
-  linkType: hard
-
 "pirates@npm:^4.0.1, pirates@npm:^4.0.4":
-  version: 4.0.5
-  resolution: "pirates@npm:4.0.5"
-  checksum: c9994e61b85260bec6c4fc0307016340d9b0c4f4b6550a957afaaff0c9b1ad58fbbea5cfcf083860a25cb27a375442e2b0edf52e2e1e40e69934e08dcc52d227
-  languageName: node
-  linkType: hard
-
-"pkg-conf@npm:^3.1.0":
-  version: 3.1.0
-  resolution: "pkg-conf@npm:3.1.0"
-  dependencies:
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-    load-json-file: ^5.2.0
-  checksum: dd1eba15fab9b1c4f0e91f7bfb08e680cae08e7a7375cced194fcb500b551cc48fa600394f93cddcac64127ca747c8ac0ddc03a857d83bd2564c91842b45bdbb
+  version: 4.0.6
+  resolution: "pirates@npm:4.0.6"
+  checksum: 46a65fefaf19c6f57460388a5af9ab81e3d7fd0e7bc44ca59d753cb5c4d0df97c6c6e583674869762101836d68675f027d60f841c105d72734df9dfca97cbcc6
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@@ -10929,6 +12461,63 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"plotly.js@npm:^2.30.1":
+  version: 2.31.1
+  resolution: "plotly.js@npm:2.31.1"
+  dependencies:
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+    "@plotly/d3-sankey": 0.7.2
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+    "@plotly/mapbox-gl": 1.13.4
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+    "@turf/bbox": ^6.4.0
+    "@turf/centroid": ^6.0.2
+    base64-arraybuffer: ^1.0.2
+    canvas-fit: ^1.5.0
+    color-alpha: 1.0.4
+    color-normalize: 1.5.0
+    color-parse: 2.0.0
+    color-rgba: 2.1.1
+    country-regex: ^1.1.0
+    d3-force: ^1.2.1
+    d3-format: ^1.4.5
+    d3-geo: ^1.12.1
+    d3-geo-projection: ^2.9.0
+    d3-hierarchy: ^1.1.9
+    d3-interpolate: ^3.0.1
+    d3-time: ^1.1.0
+    d3-time-format: ^2.2.3
+    fast-isnumeric: ^1.1.4
+    gl-mat4: ^1.2.0
+    gl-text: ^1.3.1
+    has-hover: ^1.0.1
+    has-passive-events: ^1.0.0
+    is-mobile: ^4.0.0
+    mouse-change: ^1.4.0
+    mouse-event-offset: ^3.0.2
+    mouse-wheel: ^1.2.0
+    native-promise-only: ^0.8.1
+    parse-svg-path: ^0.1.2
+    point-in-polygon: ^1.1.0
+    polybooljs: ^1.2.0
+    probe-image-size: ^7.2.3
+    regl: "npm:@plotly/regl@^2.1.2"
+    regl-error2d: ^2.0.12
+    regl-line2d: ^3.1.3
+    regl-scatter2d: ^3.3.1
+    regl-splom: ^1.0.14
+    strongly-connected-components: ^1.0.1
+    superscript-text: ^1.0.0
+    svg-path-sdf: ^1.1.3
+    tinycolor2: ^1.4.2
+    to-px: 1.0.1
+    topojson-client: ^3.1.0
+    webgl-context: ^2.2.0
+    world-calendars: ^1.0.3
+  checksum: a810ea1b85dddccd0cb76ac7c9f121b4d0b95ed9fb3ae532b4c61ef5dd42783941fdf27d0d88bc3d543c0b29527707c73b3c810e846f7f32170537cb03b50f03
+  languageName: node
+  linkType: hard
+
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   version: 8.0.0
   resolution: "pluralize@npm:8.0.0"
@@ -10936,6 +12525,27 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"point-in-polygon@npm:^1.1.0":
+  version: 1.1.0
+  resolution: "point-in-polygon@npm:1.1.0"
+  checksum: 67a6374f0b79bc872bde8e375d7d5ea011a1419c5f4320dfb7705801cd3a8fcaee8bff385465e075b2ce863bbc86ccd74c63345d9f326981cd0807642bc5199c
+  languageName: node
+  linkType: hard
+
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+  version: 1.2.2
+  resolution: "polybooljs@npm:1.2.2"
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+  languageName: node
+  linkType: hard
+
+"possible-typed-array-names@npm:^1.0.0":
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+  resolution: "possible-typed-array-names@npm:1.0.0"
+  checksum: b32d403ece71e042385cc7856385cecf1cd8e144fa74d2f1de40d1e16035dba097bc189715925e79b67bdd1472796ff168d3a90d296356c9c94d272d5b95f3ae
+  languageName: node
+  linkType: hard
+
 "postcss-attribute-case-insensitive@npm:^5.0.2":
   version: 5.0.2
   resolution: "postcss-attribute-case-insensitive@npm:5.0.2"
@@ -11202,16 +12812,16 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"postcss-import@npm:^14.1.0":
-  version: 14.1.0
-  resolution: "postcss-import@npm:14.1.0"
+"postcss-import@npm:^15.1.0":
+  version: 15.1.0
+  resolution: "postcss-import@npm:15.1.0"
   dependencies:
     postcss-value-parser: ^4.0.0
     read-cache: ^1.0.0
     resolve: ^1.1.7
   peerDependencies:
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@@ -11224,7 +12834,7 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"postcss-js@npm:^4.0.0":
+"postcss-js@npm:^4.0.1":
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   resolution: "postcss-js@npm:4.0.1"
   dependencies:
@@ -11247,12 +12857,12 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"postcss-load-config@npm:^3.1.4":
-  version: 3.1.4
-  resolution: "postcss-load-config@npm:3.1.4"
+"postcss-load-config@npm:^4.0.1":
+  version: 4.0.2
+  resolution: "postcss-load-config@npm:4.0.2"
   dependencies:
-    lilconfig: ^2.0.5
-    yaml: ^1.10.2
+    lilconfig: ^3.0.0
+    yaml: ^2.3.4
   peerDependencies:
     postcss: ">=8.0.9"
     ts-node: ">=9.0.0"
@@ -11261,7 +12871,7 @@ eslint-config-standard-with-typescript@latest:
       optional: true
     ts-node:
       optional: true
-  checksum: 1c589504c2d90b1568aecae8238ab993c17dba2c44f848a8f13619ba556d26a1c09644d5e6361b5784e721e94af37b604992f9f3dc0483e687a0cc1cc5029a34
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@@ -11371,36 +12981,36 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"postcss-modules-extract-imports@npm:^3.0.0":
-  version: 3.0.0
-  resolution: "postcss-modules-extract-imports@npm:3.0.0"
+"postcss-modules-extract-imports@npm:^3.1.0":
+  version: 3.1.0
+  resolution: "postcss-modules-extract-imports@npm:3.1.0"
   peerDependencies:
     postcss: ^8.1.0
-  checksum: 4b65f2f1382d89c4bc3c0a1bdc5942f52f3cb19c110c57bd591ffab3a5fee03fcf831604168205b0c1b631a3dce2255c70b61aaae3ef39d69cd7eb450c2552d2
+  checksum: b9192e0f4fb3d19431558be6f8af7ca45fc92baaad9b2778d1732a5880cd25c3df2074ce5484ae491e224f0d21345ffc2d419bd51c25b019af76d7a7af88c17f
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-"postcss-modules-local-by-default@npm:^4.0.0":
-  version: 4.0.0
-  resolution: "postcss-modules-local-by-default@npm:4.0.0"
+"postcss-modules-local-by-default@npm:^4.0.5":
+  version: 4.0.5
+  resolution: "postcss-modules-local-by-default@npm:4.0.5"
   dependencies:
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     postcss-selector-parser: ^6.0.2
     postcss-value-parser: ^4.1.0
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+  checksum: ca9b01f4a0a3dfb33e016299e2dfb7e85c3123292f7aec2efc0c6771b9955648598bfb4c1561f7ee9732fb27fb073681233661b32eef98baab43743f96735452
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-"postcss-modules-scope@npm:^3.0.0":
-  version: 3.0.0
-  resolution: "postcss-modules-scope@npm:3.0.0"
+"postcss-modules-scope@npm:^3.2.0":
+  version: 3.2.0
+  resolution: "postcss-modules-scope@npm:3.2.0"
   dependencies:
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   peerDependencies:
     postcss: ^8.1.0
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@@ -11415,14 +13025,14 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"postcss-nested@npm:6.0.0":
-  version: 6.0.0
-  resolution: "postcss-nested@npm:6.0.0"
+"postcss-nested@npm:^6.0.1":
+  version: 6.0.1
+  resolution: "postcss-nested@npm:6.0.1"
   dependencies:
-    postcss-selector-parser: ^6.0.10
+    postcss-selector-parser: ^6.0.11
   peerDependencies:
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@@ -11717,12 +13327,12 @@ eslint-config-standard-with-typescript@latest:
   linkType: hard
 
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-  version: 6.0.11
-  resolution: "postcss-selector-parser@npm:6.0.11"
+  version: 6.0.16
+  resolution: "postcss-selector-parser@npm:6.0.16"
   dependencies:
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     util-deprecate: ^1.0.2
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@@ -11766,14 +13376,21 @@ eslint-config-standard-with-typescript@latest:
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-"postcss@npm:^8.0.9, postcss@npm:^8.3.5, postcss@npm:^8.4.19, postcss@npm:^8.4.4":
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+"postcss@npm:^8.3.5, postcss@npm:^8.4.23, postcss@npm:^8.4.33, postcss@npm:^8.4.4":
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+  resolution: "postcss@npm:8.4.38"
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+    nanoid: ^3.3.7
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-  resolution: "react-router-dom@npm:6.10.0"
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+"resolve-protobuf-schema@npm:^2.1.0":
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+  resolution: "resolve-protobuf-schema@npm:2.1.0"
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+
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   resolution: "resolve-url-loader@npm:4.0.0"
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-  resolution: "resolve@npm:1.22.1"
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+  resolution: "resolve@npm:1.22.8"
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-  version: 2.0.0-next.4
-  resolution: "resolve@npm:2.0.0-next.4"
+"resolve@npm:^2.0.0-next.5":
+  version: 2.0.0-next.5
+  resolution: "resolve@npm:2.0.0-next.5"
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+"resolve@patch:resolve@^2.0.0-next.5#~builtin<compat/resolve>":
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+  resolution: "resolve@patch:resolve@npm%3A2.0.0-next.5#~builtin<compat/resolve>::version=2.0.0-next.5&hash=c3c19d"
   dependencies:
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+    is-core-module: ^2.13.0
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+  resolution: "right-now@npm:1.0.0"
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   resolution: "rimraf@npm:3.0.2"
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+  resolution: "rw@npm:1.3.3"
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+  languageName: node
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   resolution: "safe-buffer@npm:5.1.2"
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-  version: 1.0.0
-  resolution: "safe-regex-test@npm:1.0.0"
+"safe-regex-test@npm:^1.0.3":
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+  resolution: "safe-regex-test@npm:1.0.3"
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-    get-intrinsic: ^1.1.3
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   languageName: node
   linkType: hard
 
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+  resolution: "sax@npm:1.3.0"
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+  languageName: node
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+
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   resolution: "sax@npm:1.2.4"
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-  resolution: "schema-utils@npm:3.1.1"
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+  resolution: "schema-utils@npm:3.3.0"
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-  version: 4.0.0
-  resolution: "schema-utils@npm:4.0.0"
+  version: 4.2.0
+  resolution: "schema-utils@npm:4.2.0"
   dependencies:
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-    ajv: ^8.8.0
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 "selfsigned@npm:^2.1.1":
-  version: 2.1.1
-  resolution: "selfsigned@npm:2.1.1"
+  version: 2.4.1
+  resolution: "selfsigned@npm:2.4.1"
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-  resolution: "semver@npm:6.3.0"
+"semver@npm:^6.0.0, semver@npm:^6.3.0, semver@npm:^6.3.1":
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+  resolution: "semver@npm:6.3.1"
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+    semver: bin/semver.js
+  checksum: ae47d06de28836adb9d3e25f22a92943477371292d9b665fb023fae278d345d508ca1958232af086d85e0155aee22e313e100971898bbb8d5d89b8b1d4054ca2
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+  resolution: "semver@npm:7.6.0"
   dependencies:
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 "serialize-javascript@npm:^6.0.0, serialize-javascript@npm:^6.0.1":
-  version: 6.0.1
-  resolution: "serialize-javascript@npm:6.0.1"
+  version: 6.0.2
+  resolution: "serialize-javascript@npm:6.0.2"
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@@ -12887,6 +14720,13 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"shallow-copy@npm:0.0.1":
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+  resolution: "shallow-copy@npm:0.0.1"
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+
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   resolution: "shebang-command@npm:2.0.0"
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+    call-bind: ^1.0.7
+    es-errors: ^1.3.0
+    get-intrinsic: ^1.2.4
+    object-inspect: ^1.13.1
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   languageName: node
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-"signal-exit@npm:^3.0.2, signal-exit@npm:^3.0.3, signal-exit@npm:^3.0.7":
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   languageName: node
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+"signal-exit@npm:^4.0.1":
+  version: 4.1.0
+  resolution: "signal-exit@npm:4.1.0"
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+  languageName: node
+  linkType: hard
+
+"signum@npm:^1.0.0":
+  version: 1.0.0
+  resolution: "signum@npm:1.0.0"
+  checksum: f045c95499c199889b5255bd0446c10d51ef91fdef404b993826b31fe33e2947baa4b69eb4fab7200c34b984c8158593dbf548ea34e23003d52944be92182569
+  languageName: node
+  linkType: hard
+
 "sisteransi@npm:^1.0.5":
   version: 1.0.5
   resolution: "sisteransi@npm:1.0.5"
@@ -12967,24 +14822,24 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"socks-proxy-agent@npm:^7.0.0":
-  version: 7.0.0
-  resolution: "socks-proxy-agent@npm:7.0.0"
+"socks-proxy-agent@npm:^8.0.3":
+  version: 8.0.3
+  resolution: "socks-proxy-agent@npm:8.0.3"
   dependencies:
-    agent-base: ^6.0.2
-    debug: ^4.3.3
-    socks: ^2.6.2
-  checksum: 720554370154cbc979e2e9ce6a6ec6ced205d02757d8f5d93fe95adae454fc187a5cbfc6b022afab850a5ce9b4c7d73e0f98e381879cf45f66317a4895953846
+    agent-base: ^7.1.1
+    debug: ^4.3.4
+    socks: ^2.7.1
+  checksum: 8fab38821c327c190c28f1658087bc520eb065d55bc07b4a0fdf8d1e0e7ad5d115abbb22a95f94f944723ea969dd771ad6416b1e3cde9060c4c71f705c8b85c5
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-"socks@npm:^2.6.2":
-  version: 2.7.1
-  resolution: "socks@npm:2.7.1"
+"socks@npm:^2.7.1":
+  version: 2.8.3
+  resolution: "socks@npm:2.8.3"
   dependencies:
-    ip: ^2.0.0
+    ip-address: ^9.0.5
     smart-buffer: ^4.2.0
-  checksum: 259d9e3e8e1c9809a7f5c32238c3d4d2a36b39b83851d0f573bfde5f21c4b1288417ce1af06af1452569cd1eb0841169afd4998f0e04ba04656f6b7f0e46d748
+  checksum: 7a6b7f6eedf7482b9e4597d9a20e09505824208006ea8f2c49b71657427f3c137ca2ae662089baa73e1971c62322d535d9d0cf1c9235cf6f55e315c18203eadd
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@@ -12995,10 +14850,10 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"source-map-js@npm:^1.0.1, source-map-js@npm:^1.0.2":
-  version: 1.0.2
-  resolution: "source-map-js@npm:1.0.2"
-  checksum: c049a7fc4deb9a7e9b481ae3d424cc793cb4845daa690bc5a05d428bf41bf231ced49b4cf0c9e77f9d42fdb3d20d6187619fc586605f5eabe995a316da8d377c
+"source-map-js@npm:^1.0.1, source-map-js@npm:^1.2.0":
+  version: 1.2.0
+  resolution: "source-map-js@npm:1.2.0"
+  checksum: 791a43306d9223792e84293b00458bf102a8946e7188f3db0e4e22d8d530b5f80a4ce468eb5ec0bf585443ad55ebbd630bf379c98db0b1f317fd902500217f97
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@@ -13089,6 +14944,13 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"sprintf-js@npm:^1.1.3":
+  version: 1.1.3
+  resolution: "sprintf-js@npm:1.1.3"
+  checksum: a3fdac7b49643875b70864a9d9b469d87a40dfeaf5d34d9d0c5b1cda5fd7d065531fcb43c76357d62254c57184a7b151954156563a4d6a747015cfb41021cad0
+  languageName: node
+  linkType: hard
+
 "sprintf-js@npm:~1.0.2":
   version: 1.0.3
   resolution: "sprintf-js@npm:1.0.3"
@@ -13096,12 +14958,12 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"ssri@npm:^9.0.0":
-  version: 9.0.1
-  resolution: "ssri@npm:9.0.1"
+"ssri@npm:^10.0.0":
+  version: 10.0.5
+  resolution: "ssri@npm:10.0.5"
   dependencies:
-    minipass: ^3.1.1
-  checksum: fb58f5e46b6923ae67b87ad5ef1c5ab6d427a17db0bead84570c2df3cd50b4ceb880ebdba2d60726588272890bae842a744e1ecce5bd2a2a582fccd5068309eb
+    minipass: ^7.0.3
+  checksum: 0a31b65f21872dea1ed3f7c200d7bc1c1b91c15e419deca14f282508ba917cbb342c08a6814c7f68ca4ca4116dd1a85da2bbf39227480e50125a1ceffeecb750
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@@ -13112,6 +14974,13 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"stack-trace@npm:0.0.9":
+  version: 0.0.9
+  resolution: "stack-trace@npm:0.0.9"
+  checksum: 5b1ff9708eaeae2518f70ea10027aa608892faedfd95d3c92b0e3b14cf49b013da22421a32b5bbe29ae711436e53fdf966793cf58a4bd0ad20a71859d27a894f
+  languageName: node
+  linkType: hard
+
 "stack-utils@npm:^2.0.3":
   version: 2.0.6
   resolution: "stack-utils@npm:2.0.6"
@@ -13128,33 +14997,21 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"standard-engine@npm:^15.0.0":
-  version: 15.0.0
-  resolution: "standard-engine@npm:15.0.0"
+"static-eval@npm:2.0.2":
+  version: 2.0.2
+  resolution: "static-eval@npm:2.0.2"
   dependencies:
-    get-stdin: ^8.0.0
-    minimist: ^1.2.6
-    pkg-conf: ^3.1.0
-    xdg-basedir: ^4.0.0
-  checksum: fa67fb04b757e6fe43b32ec812bded81f193598072107f36632c265b5d94a6e1ef4ebdbf96dfcd2da8cfddc180f281160bc025a9c762796e69bda4e10269cda3
+    escodegen: ^1.8.1
+  checksum: 335a923c5ccb29add404ac23d0a55c0da6cee3071f6f67a7053aeac0dedc6dbfc53ac9269e9c25f403f5b7603a291ef47d7114f99bde241184f7aa3f9286dc32
   languageName: node
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-"standard@npm:^17.0.0":
-  version: 17.0.0
-  resolution: "standard@npm:17.0.0"
+"static-eval@npm:^2.0.5":
+  version: 2.1.1
+  resolution: "static-eval@npm:2.1.1"
   dependencies:
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-    eslint-config-standard: 17.0.0
-    eslint-config-standard-jsx: ^11.0.0
-    eslint-plugin-import: ^2.26.0
-    eslint-plugin-n: ^15.1.0
-    eslint-plugin-promise: ^6.0.0
-    eslint-plugin-react: ^7.28.0
-    standard-engine: ^15.0.0
-  bin:
-    standard: bin/cmd.js
-  checksum: ed8b3807a5eaa9d5813c47dfe39fd21fedef23643a707bd31ba2e4b1d9174524685ddc7d6113d9f758c92e1415c738b29400c6c5d7cb08535994d6680f6ae6b1
+    escodegen: ^2.1.0
+  checksum: b59ea64cb4c2948c2c9dd9d156ee53b64b12e787148f8bc1d14a76d039d06b07e6470ce5924881c9a807d05c567b62092017c29d632ea8112a21f5ac268117b1
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@@ -13190,6 +15047,22 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"stream-parser@npm:~0.3.1":
+  version: 0.3.1
+  resolution: "stream-parser@npm:0.3.1"
+  dependencies:
+    debug: 2
+  checksum: 4d86ff8cffe7c7587dc91433fff9dce38a93ea7e9f47560055addc81eae6b6befab22b75643ce539faf325fe2b17d371778242566bed086e75f6cffb1e76c06c
+  languageName: node
+  linkType: hard
+
+"stream-shift@npm:^1.0.0":
+  version: 1.0.3
+  resolution: "stream-shift@npm:1.0.3"
+  checksum: a24c0a3f66a8f9024bd1d579a533a53be283b4475d4e6b4b3211b964031447bdf6532dd1f3c2b0ad66752554391b7c62bd7ca4559193381f766534e723d50242
+  languageName: node
+  linkType: hard
+
 "string-length@npm:^4.0.1":
   version: 4.0.2
   resolution: "string-length@npm:4.0.2"
@@ -13217,7 +15090,16 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"string-width@npm:^1.0.2 || 2 || 3 || 4, string-width@npm:^4.1.0, string-width@npm:^4.2.0, string-width@npm:^4.2.3":
+"string-split-by@npm:^1.0.0":
+  version: 1.0.0
+  resolution: "string-split-by@npm:1.0.0"
+  dependencies:
+    parenthesis: ^3.1.5
+  checksum: bd38cf3b3d365ec3c418eefedd8130e3b2ebaf8ea381fd49a3fa903a927e8858db05563d9b14bd0d11f1b2eb27677fc17c3f91637b11f9dab40fa6c8fcf2e8c8
+  languageName: node
+  linkType: hard
+
+"string-width-cjs@npm:string-width@^4.2.0, string-width@npm:^4.1.0, string-width@npm:^4.2.0, string-width@npm:^4.2.3":
   version: 4.2.3
   resolution: "string-width@npm:4.2.3"
   dependencies:
@@ -13228,52 +15110,68 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"string.prototype.matchall@npm:^4.0.6, string.prototype.matchall@npm:^4.0.8":
-  version: 4.0.8
-  resolution: "string.prototype.matchall@npm:4.0.8"
+"string-width@npm:^5.0.1, string-width@npm:^5.1.2":
+  version: 5.1.2
+  resolution: "string-width@npm:5.1.2"
   dependencies:
-    call-bind: ^1.0.2
-    define-properties: ^1.1.4
-    es-abstract: ^1.20.4
-    get-intrinsic: ^1.1.3
+    eastasianwidth: ^0.2.0
+    emoji-regex: ^9.2.2
+    strip-ansi: ^7.0.1
+  checksum: 7369deaa29f21dda9a438686154b62c2c5f661f8dda60449088f9f980196f7908fc39fdd1803e3e01541970287cf5deae336798337e9319a7055af89dafa7193
+  languageName: node
+  linkType: hard
+
+"string.prototype.matchall@npm:^4.0.10, string.prototype.matchall@npm:^4.0.6":
+  version: 4.0.11
+  resolution: "string.prototype.matchall@npm:4.0.11"
+  dependencies:
+    call-bind: ^1.0.7
+    define-properties: ^1.2.1
+    es-abstract: ^1.23.2
+    es-errors: ^1.3.0
+    es-object-atoms: ^1.0.0
+    get-intrinsic: ^1.2.4
+    gopd: ^1.0.1
     has-symbols: ^1.0.3
-    internal-slot: ^1.0.3
-    regexp.prototype.flags: ^1.4.3
-    side-channel: ^1.0.4
-  checksum: 952da3a818de42ad1c10b576140a5e05b4de7b34b8d9dbf00c3ac8c1293e9c0f533613a39c5cda53e0a8221f2e710bc2150e730b1c2278d60004a8a35726efb6
+    internal-slot: ^1.0.7
+    regexp.prototype.flags: ^1.5.2
+    set-function-name: ^2.0.2
+    side-channel: ^1.0.6
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   languageName: node
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-"string.prototype.trim@npm:^1.2.7":
-  version: 1.2.7
-  resolution: "string.prototype.trim@npm:1.2.7"
+"string.prototype.trim@npm:^1.2.9":
+  version: 1.2.9
+  resolution: "string.prototype.trim@npm:1.2.9"
   dependencies:
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-    define-properties: ^1.1.4
-    es-abstract: ^1.20.4
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+    call-bind: ^1.0.7
+    define-properties: ^1.2.1
+    es-abstract: ^1.23.0
+    es-object-atoms: ^1.0.0
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   languageName: node
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-"string.prototype.trimend@npm:^1.0.6":
-  version: 1.0.6
-  resolution: "string.prototype.trimend@npm:1.0.6"
+"string.prototype.trimend@npm:^1.0.8":
+  version: 1.0.8
+  resolution: "string.prototype.trimend@npm:1.0.8"
   dependencies:
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-    define-properties: ^1.1.4
-    es-abstract: ^1.20.4
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+    call-bind: ^1.0.7
+    define-properties: ^1.2.1
+    es-object-atoms: ^1.0.0
+  checksum: cc3bd2de08d8968a28787deba9a3cb3f17ca5f9f770c91e7e8fa3e7d47f079bad70fadce16f05dda9f261788be2c6e84a942f618c3bed31e42abc5c1084f8dfd
   languageName: node
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-"string.prototype.trimstart@npm:^1.0.6":
-  version: 1.0.6
-  resolution: "string.prototype.trimstart@npm:1.0.6"
+"string.prototype.trimstart@npm:^1.0.8":
+  version: 1.0.8
+  resolution: "string.prototype.trimstart@npm:1.0.8"
   dependencies:
-    call-bind: ^1.0.2
-    define-properties: ^1.1.4
-    es-abstract: ^1.20.4
-  checksum: 89080feef416621e6ef1279588994305477a7a91648d9436490d56010a1f7adc39167cddac7ce0b9884b8cdbef086987c4dcb2960209f2af8bac0d23ceff4f41
+    call-bind: ^1.0.7
+    define-properties: ^1.2.1
+    es-object-atoms: ^1.0.0
+  checksum: df1007a7f580a49d692375d996521dc14fd103acda7f3034b3c558a60b82beeed3a64fa91e494e164581793a8ab0ae2f59578a49896a7af6583c1f20472bce96
   languageName: node
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@@ -13286,6 +15184,13 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"string_decoder@npm:~0.10.x":
+  version: 0.10.31
+  resolution: "string_decoder@npm:0.10.31"
+  checksum: fe00f8e303647e5db919948ccb5ce0da7dea209ab54702894dd0c664edd98e5d4df4b80d6fabf7b9e92b237359d21136c95bf068b2f7760b772ca974ba970202
+  languageName: node
+  linkType: hard
+
 "string_decoder@npm:~1.1.1":
   version: 1.1.1
   resolution: "string_decoder@npm:1.1.1"
@@ -13306,7 +15211,7 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"strip-ansi@npm:^6.0.0, strip-ansi@npm:^6.0.1":
+"strip-ansi-cjs@npm:strip-ansi@^6.0.1, strip-ansi@npm:^6.0.0, strip-ansi@npm:^6.0.1":
   version: 6.0.1
   resolution: "strip-ansi@npm:6.0.1"
   dependencies:
@@ -13316,11 +15221,11 @@ eslint-config-standard-with-typescript@latest:
   linkType: hard
 
 "strip-ansi@npm:^7.0.1":
-  version: 7.0.1
-  resolution: "strip-ansi@npm:7.0.1"
+  version: 7.1.0
+  resolution: "strip-ansi@npm:7.1.0"
   dependencies:
     ansi-regex: ^6.0.1
-  checksum: 257f78fa433520e7f9897722731d78599cb3fce29ff26a20a5e12ba4957463b50a01136f37c43707f4951817a75e90820174853d6ccc240997adc5df8f966039
+  checksum: 859c73fcf27869c22a4e4d8c6acfe690064659e84bef9458aa6d13719d09ca88dcfd40cbf31fd0be63518ea1a643fe070b4827d353e09533a5b0b9fd4553d64d
   languageName: node
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@@ -13361,19 +15266,26 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"strip-json-comments@npm:^3.1.0, strip-json-comments@npm:^3.1.1":
+"strip-json-comments@npm:^3.1.1":
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   resolution: "strip-json-comments@npm:3.1.1"
   checksum: 492f73e27268f9b1c122733f28ecb0e7e8d8a531a6662efbd08e22cccb3f9475e90a1b82cab06a392f6afae6d2de636f977e231296400d0ec5304ba70f166443
   languageName: node
   linkType: hard
 
+"strongly-connected-components@npm:^1.0.1":
+  version: 1.0.1
+  resolution: "strongly-connected-components@npm:1.0.1"
+  checksum: f731c4a1e9b02b9d19a419e6bf1f901b1a7369cb4e0edca3b7ecb6c5076d2afe151ba12103669156594b2c2186ec9cffbd84f9d45c7e7928373d705e7ff7c3b2
+  languageName: node
+  linkType: hard
+
 "style-loader@npm:^3.3.1":
-  version: 3.3.2
-  resolution: "style-loader@npm:3.3.2"
+  version: 3.3.4
+  resolution: "style-loader@npm:3.3.4"
   peerDependencies:
     webpack: ^5.0.0
-  checksum: 5ee5ce2dc885369eccb55d429376e83d02570d473ac5edeb69fd65ee894847f1e51429cf078351f617bd04516ece8a1dd967f9f40464bd8fa76d903c6b2a6f08
+  checksum: caac3f2fe2c3c89e49b7a2a9329e1cfa515ecf5f36b9c4885f9b218019fda207a9029939b2c35821dec177a264a007e7c391ccdd3ff7401881ce6287b9c8f38b
   languageName: node
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@@ -13389,13 +15301,6 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"stylis@npm:4.1.3":
-  version: 4.1.3
-  resolution: "stylis@npm:4.1.3"
-  checksum: d04dbffcb9bf2c5ca8d8dc09534203c75df3bf711d33973ea22038a99cc475412a350b661ebd99cbc01daa50d7eedcf0d130d121800eb7318759a197023442a6
-  languageName: node
-  linkType: hard
-
 "stylis@npm:4.2.0":
   version: 4.2.0
   resolution: "stylis@npm:4.2.0"
@@ -13403,12 +15308,13 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"sucrase@npm:^3.29.0":
-  version: 3.31.0
-  resolution: "sucrase@npm:3.31.0"
+"sucrase@npm:^3.32.0":
+  version: 3.35.0
+  resolution: "sucrase@npm:3.35.0"
   dependencies:
+    "@jridgewell/gen-mapping": ^0.3.2
     commander: ^4.0.0
-    glob: 7.1.6
+    glob: ^10.3.10
     lines-and-columns: ^1.1.6
     mz: ^2.7.0
     pirates: ^4.0.1
@@ -13416,7 +15322,23 @@ eslint-config-standard-with-typescript@latest:
   bin:
     sucrase: bin/sucrase
     sucrase-node: bin/sucrase-node
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+  resolution: "supercluster@npm:7.1.5"
+  dependencies:
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+  resolution: "superscript-text@npm:1.0.0"
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@@ -13464,6 +15386,13 @@ eslint-config-standard-with-typescript@latest:
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   linkType: hard
 
+"svg-arc-to-cubic-bezier@npm:^3.0.0":
+  version: 3.2.0
+  resolution: "svg-arc-to-cubic-bezier@npm:3.2.0"
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+  languageName: node
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+
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   resolution: "svg-parser@npm:2.0.4"
@@ -13471,6 +15400,31 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"svg-path-bounds@npm:^1.0.1":
+  version: 1.0.2
+  resolution: "svg-path-bounds@npm:1.0.2"
+  dependencies:
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+    is-svg-path: ^1.0.1
+    normalize-svg-path: ^1.0.0
+    parse-svg-path: ^0.1.2
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+  languageName: node
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+  resolution: "svg-path-sdf@npm:1.1.3"
+  dependencies:
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+    draw-svg-path: ^1.0.0
+    is-svg-path: ^1.0.1
+    parse-svg-path: ^0.1.2
+    svg-path-bounds: ^1.0.1
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+  languageName: node
+  linkType: hard
+
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   resolution: "svgo@npm:1.3.2"
@@ -13519,39 +15473,35 @@ eslint-config-standard-with-typescript@latest:
   linkType: hard
 
 "tailwindcss@npm:^3.0.2":
-  version: 3.3.1
-  resolution: "tailwindcss@npm:3.3.1"
+  version: 3.4.3
+  resolution: "tailwindcss@npm:3.4.3"
   dependencies:
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     arg: ^5.0.2
     chokidar: ^3.5.3
-    color-name: ^1.1.4
     didyoumean: ^1.2.2
     dlv: ^1.1.3
-    fast-glob: ^3.2.12
+    fast-glob: ^3.3.0
     glob-parent: ^6.0.2
     is-glob: ^4.0.3
-    jiti: ^1.17.2
-    lilconfig: ^2.0.6
+    jiti: ^1.21.0
+    lilconfig: ^2.1.0
     micromatch: ^4.0.5
     normalize-path: ^3.0.0
     object-hash: ^3.0.0
     picocolors: ^1.0.0
-    postcss: ^8.0.9
-    postcss-import: ^14.1.0
-    postcss-js: ^4.0.0
-    postcss-load-config: ^3.1.4
-    postcss-nested: 6.0.0
+    postcss: ^8.4.23
+    postcss-import: ^15.1.0
+    postcss-js: ^4.0.1
+    postcss-load-config: ^4.0.1
+    postcss-nested: ^6.0.1
     postcss-selector-parser: ^6.0.11
-    postcss-value-parser: ^4.2.0
-    quick-lru: ^5.1.1
-    resolve: ^1.22.1
-    sucrase: ^3.29.0
-  peerDependencies:
-    postcss: ^8.0.9
+    resolve: ^1.22.2
+    sucrase: ^3.32.0
   bin:
     tailwind: lib/cli.js
     tailwindcss: lib/cli.js
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@@ -13562,7 +15512,7 @@ eslint-config-standard-with-typescript@latest:
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-"tapable@npm:^2.0.0, tapable@npm:^2.1.1, tapable@npm:^2.2.0":
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   linkType: hard
 
 "tar@npm:^6.1.11, tar@npm:^6.1.2":
-  version: 6.1.13
-  resolution: "tar@npm:6.1.13"
+  version: 6.2.1
+  resolution: "tar@npm:6.2.1"
   dependencies:
     chownr: ^2.0.0
     fs-minipass: ^2.0.0
-    minipass: ^4.0.0
+    minipass: ^5.0.0
     minizlib: ^2.1.1
     mkdirp: ^1.0.3
     yallist: ^4.0.0
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@@ -13612,15 +15562,15 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"terser-webpack-plugin@npm:^5.1.3, terser-webpack-plugin@npm:^5.2.5":
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-  resolution: "terser-webpack-plugin@npm:5.3.7"
+"terser-webpack-plugin@npm:^5.2.5, terser-webpack-plugin@npm:^5.3.10":
+  version: 5.3.10
+  resolution: "terser-webpack-plugin@npm:5.3.10"
   dependencies:
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+    "@jridgewell/trace-mapping": ^0.3.20
     jest-worker: ^27.4.5
     schema-utils: ^3.1.1
     serialize-javascript: ^6.0.1
-    terser: ^5.16.5
+    terser: ^5.26.0
   peerDependencies:
     webpack: ^5.1.0
   peerDependenciesMeta:
@@ -13630,21 +15580,21 @@ eslint-config-standard-with-typescript@latest:
       optional: true
     uglify-js:
       optional: true
-  checksum: 095e699fdeeb553cdf2c6f75f983949271b396d9c201d7ae9fc633c45c1c1ad14c7257ef9d51ccc62213dd3e97f875870ba31550f6d4f1b6674f2615562da7f7
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-"terser@npm:^5.0.0, terser@npm:^5.10.0, terser@npm:^5.16.5":
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-  resolution: "terser@npm:5.16.8"
+"terser@npm:^5.0.0, terser@npm:^5.10.0, terser@npm:^5.26.0":
+  version: 5.30.3
+  resolution: "terser@npm:5.30.3"
   dependencies:
-    "@jridgewell/source-map": ^0.3.2
-    acorn: ^8.5.0
+    "@jridgewell/source-map": ^0.3.3
+    acorn: ^8.8.2
     commander: ^2.20.0
     source-map-support: ~0.5.20
   bin:
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@@ -13691,6 +15641,26 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"through2@npm:^0.6.3":
+  version: 0.6.5
+  resolution: "through2@npm:0.6.5"
+  dependencies:
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+    xtend: ">=4.0.0 <4.1.0-0"
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+  languageName: node
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+  resolution: "through2@npm:2.0.5"
+  dependencies:
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+  languageName: node
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+
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   resolution: "thunky@npm:1.1.0"
@@ -13705,6 +15675,20 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"tinycolor2@npm:^1.4.2":
+  version: 1.6.0
+  resolution: "tinycolor2@npm:1.6.0"
+  checksum: 6df4d07fceeedc0a878d7bac47e2cd47c1ceeb1078340a9eb8a295bc0651e17c750f73d47b3028d829f30b85c15e0572c0fd4142083e4c21a30a597e47f47230
+  languageName: node
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+  resolution: "tinyqueue@npm:2.0.3"
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+  languageName: node
+  linkType: hard
+
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   resolution: "tmpl@npm:1.0.5"
@@ -13719,6 +15703,31 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"to-float32@npm:^1.1.0":
+  version: 1.1.0
+  resolution: "to-float32@npm:1.1.0"
+  checksum: aff308bbc7b36df8804def8811e1f4a6ec3c476776e48a9dc9fd4039c50608c6afd08edd5902aa3445a18b89510b9cf4d9737da6d35c043ebbde073ecef30950
+  languageName: node
+  linkType: hard
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+  resolution: "to-px@npm:1.0.1"
+  dependencies:
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+  languageName: node
+  linkType: hard
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+  resolution: "to-px@npm:1.1.0"
+  dependencies:
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+
 "to-regex-range@npm:^5.0.1":
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   resolution: "to-regex-range@npm:5.0.1"
@@ -13735,6 +15744,19 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"topojson-client@npm:^3.1.0":
+  version: 3.1.0
+  resolution: "topojson-client@npm:3.1.0"
+  dependencies:
+    commander: 2
+  bin:
+    topo2geo: bin/topo2geo
+    topomerge: bin/topomerge
+    topoquantize: bin/topoquantize
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+  languageName: node
+  linkType: hard
+
 "toposort@npm:^2.0.2":
   version: 2.0.2
   resolution: "toposort@npm:2.0.2"
@@ -13743,14 +15765,14 @@ eslint-config-standard-with-typescript@latest:
   linkType: hard
 
 "tough-cookie@npm:^4.0.0":
-  version: 4.1.2
-  resolution: "tough-cookie@npm:4.1.2"
+  version: 4.1.3
+  resolution: "tough-cookie@npm:4.1.3"
   dependencies:
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     punycode: ^2.1.1
     universalify: ^0.2.0
     url-parse: ^1.5.3
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@@ -13779,6 +15801,15 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"ts-api-utils@npm:^1.0.1":
+  version: 1.3.0
+  resolution: "ts-api-utils@npm:1.3.0"
+  peerDependencies:
+    typescript: ">=4.2.0"
+  checksum: c746ddabfdffbf16cb0b0db32bb287236a19e583057f8649ee7c49995bb776e1d3ef384685181c11a1a480369e022ca97512cb08c517b2d2bd82c83754c97012
+  languageName: node
+  linkType: hard
+
 "ts-interface-checker@npm:^0.1.9":
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   resolution: "ts-interface-checker@npm:0.1.13"
@@ -13786,29 +15817,29 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"tsconfig-paths@npm:^3.14.1":
-  version: 3.14.2
-  resolution: "tsconfig-paths@npm:3.14.2"
+"tsconfig-paths@npm:^3.15.0":
+  version: 3.15.0
+  resolution: "tsconfig-paths@npm:3.15.0"
   dependencies:
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     json5: ^1.0.2
     minimist: ^1.2.6
     strip-bom: ^3.0.0
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-"tslib@npm:^1.10.0, tslib@npm:^1.8.1":
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-"tslib@npm:^2.0.3":
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-  resolution: "tslib@npm:2.5.0"
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+"tslib@npm:^2.0.0, tslib@npm:^2.0.3":
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+  resolution: "tslib@npm:2.6.2"
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@@ -13869,13 +15900,6 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"type-fest@npm:^0.3.0":
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-  resolution: "type-fest@npm:0.3.1"
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-  languageName: node
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-
 "type-is@npm:~1.6.18":
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   resolution: "type-is@npm:1.6.18"
@@ -13886,14 +15910,72 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
-"typed-array-length@npm:^1.0.4":
-  version: 1.0.4
-  resolution: "typed-array-length@npm:1.0.4"
+"type@npm:^2.7.2":
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+  resolution: "type@npm:2.7.2"
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   dependencies:
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-  resolution: "update-browserslist-db@npm:1.0.10"
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-  resolution: "watchpack@npm:2.4.0"
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+"weak-map@npm:^1.0.5":
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+
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   linkType: hard
 
+"webgl-context@npm:^2.2.0":
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+  resolution: "webgl-context@npm:2.2.0"
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-  resolution: "webpack-dev-middleware@npm:5.3.3"
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+  resolution: "webpack-dev-middleware@npm:5.3.4"
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-  resolution: "webpack-dev-server@npm:4.13.2"
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     "@types/serve-static": ^1.13.10
     "@types/sockjs": ^0.3.33
-    "@types/ws": ^8.5.1
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     spdy: ^4.0.2
-    webpack-dev-middleware: ^5.3.1
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 "webpack@npm:^5.64.4":
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-  resolution: "webpack@npm:5.77.0"
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-"which@npm:^2.0.1, which@npm:^2.0.2":
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+  version: 2.2.0
+  resolution: "xtend@npm:2.2.0"
+  checksum: 9fcd1ddabefdb3c68a698b08177525ad14a6df3423b13bad9a53900d19374e476a43c219b0756d39675776b2326a35fe477c547cfb8a05ae9fea4ba2235bebe2
+  languageName: node
+  linkType: hard
+
 "y18n@npm:^5.0.5":
   version: 5.0.8
   resolution: "y18n@npm:5.0.8"
@@ -14790,6 +16975,15 @@ eslint-config-standard-with-typescript@latest:
   languageName: node
   linkType: hard
 
+"yaml@npm:^2.3.4":
+  version: 2.4.1
+  resolution: "yaml@npm:2.4.1"
+  bin:
+    yaml: bin.mjs
+  checksum: 4c391d07a5d5e935e058babb71026c9cdc9a6fd889e35dd91b53cfb0a12691b67c6c5c740858e71345fef18cd9c13c554a6dda9196f59820d769d94041badb0b
+  languageName: node
+  linkType: hard
+
 "yargs-parser@npm:^20.2.2":
   version: 20.2.9
   resolution: "yargs-parser@npm:20.2.9"
@@ -14820,8 +17014,8 @@ eslint-config-standard-with-typescript@latest:
   linkType: hard
 
 "yargs@npm:^17.0.1":
-  version: 17.7.1
-  resolution: "yargs@npm:17.7.1"
+  version: 17.7.2
+  resolution: "yargs@npm:17.7.2"
   dependencies:
     cliui: ^8.0.1
     escalade: ^3.1.1
@@ -14830,7 +17024,7 @@ eslint-config-standard-with-typescript@latest:
     string-width: ^4.2.3
     y18n: ^5.0.5
     yargs-parser: ^21.1.1
-  checksum: 3d8a43c336a4942bc68080768664aca85c7bd406f018bad362fd255c41c8f4e650277f42fd65d543fce99e084124ddafee7bbfc1a5c6a8fda4cec78609dcf8d4
+  checksum: 73b572e863aa4a8cbef323dd911d79d193b772defd5a51aab0aca2d446655216f5002c42c5306033968193bdbf892a7a4c110b0d77954a7fdf563e653967b56a
   languageName: node
   linkType: hard
 


Test patch:
diff --git a/tests/back/api/test_jobs.py b/tests/back/api/test_jobs.py
index 2ecc5c86..0ec6c554 100644
--- a/tests/back/api/test_jobs.py
+++ b/tests/back/api/test_jobs.py
@@ -24,10 +24,6 @@ def prepare_for_task(self, dataset, output_columns):
 class DummyModel(BaseModel):
     COMPATIBLE_COMPONENTS = ["DummyTask"]
 
-    @classmethod
-    def get_schema(cls):
-        return {}
-
     def save(self, filename):
         joblib.dump(self, filename)
 
@@ -44,10 +40,6 @@ def fit(self, x, y):
 class FailDummyModel(BaseModel):
     COMPATIBLE_COMPONENTS = ["DummyTask"]
 
-    @classmethod
-    def get_schema(cls):
-        return {}
-
     def save(self, filename):
         return
 
diff --git a/tests/back/api/test_predict.py b/tests/back/api/test_predict.py
index 4c7dfacb..37003500 100644
--- a/tests/back/api/test_predict.py
+++ b/tests/back/api/test_predict.py
@@ -1,10 +1,70 @@
 import json
 import os
 
+import joblib
+import numpy as np
 import pytest
 from fastapi.testclient import TestClient
 
+from DashAI.back.dataloaders.classes.dashai_dataset import DashAIDataset
+from DashAI.back.dataloaders.classes.json_dataloader import JSONDataLoader
 from DashAI.back.dependencies.database.models import Experiment, Run
+from DashAI.back.dependencies.registry.component_registry import ComponentRegistry
+from DashAI.back.job.model_job import ModelJob
+from DashAI.back.metrics.base_metric import BaseMetric
+from DashAI.back.models.base_model import BaseModel
+from DashAI.back.tasks.base_task import BaseTask
+
+
+class DummyTask(BaseTask):
+    name: str = "DummyTask"
+
+    def prepare_for_task(self, dataset, output_cols):
+        return dataset
+
+
+class DummyModel(BaseModel):
+    COMPATIBLE_COMPONENTS = ["DummyTask"]
+
+    def save(self, filename):
+        joblib.dump(self, filename)
+
+    @staticmethod
+    def load(filename):
+        return joblib.load(filename)
+
+    def predict(self, x: DashAIDataset):
+        return np.array([self.output] * x.num_rows)
+
+    def fit(self, x: DashAIDataset, y: DashAIDataset):
+        self.output = y[y.column_names[0]][0]
+
+
+class DummyMetric(BaseMetric):
+    COMPATIBLE_COMPONENTS = ["DummyTask"]
+
+    @staticmethod
+    def score(true_labels: list, probs_pred_labels: list):
+        return 1
+
+
+@pytest.fixture(scope="module", autouse=True, name="test_registry")
+def setup_test_registry(client):
+    """Setup a test registry with test task, dataloader and model components."""
+    container = client.app.container
+
+    test_registry = ComponentRegistry(
+        initial_components=[
+            DummyTask,
+            DummyModel,
+            DummyMetric,
+            JSONDataLoader,
+            ModelJob,
+        ]
+    )
+
+    with container.component_registry.override(test_registry):
+        yield test_registry
 
 
 @pytest.fixture(scope="module", name="dataset_id")
@@ -16,7 +76,7 @@ def create_dataset(client: TestClient):
         response = client.post(
             "/api/v1/dataset/",
             data={
-                "params": """{  "task_name": "TabularClassificationTask",
+                "params": """{  "task_name": "DummyTask",
                                     "dataloader": "JSONDataLoader",
                                     "dataset_name": "test_json",
                                     "splits_in_folders": false,
@@ -52,7 +112,7 @@ def create_experiment(client: TestClient, dataset_id: int):
         experiment = Experiment(
             dataset_id=dataset_id,
             name="Experiment",
-            task_name="TabularClassificationTask",
+            task_name="DummyTask",
             input_columns=["feature_0", "feature_1", "feature_2", "feature_3"],
             output_columns=["class"],
             splits=json.dumps(
@@ -86,7 +146,7 @@ def create_run(client: TestClient, experiment_id: int):
     with session() as db:
         run = Run(
             experiment_id=experiment_id,
-            model_name="RandomForestClassifier",
+            model_name="DummyModel",
             parameters={},
             name="Run",
         )
@@ -133,7 +193,8 @@ def test_make_prediction(client: TestClient, trained_run_id: int):
             files={"input_file": ("filename", json_file, "text/json")},
         )
         data = response.json()
-        assert len(data) == 3
+    with open(abs_file_path, "rb") as json_file:
+        assert len(data) == len(json.load(json_file)["data"])
 
 
 def test_delete_prediction(client: TestClient):
diff --git a/tests/back/api/conftest.py b/tests/back/conftest.py
similarity index 100%
rename from tests/back/api/conftest.py
rename to tests/back/conftest.py
diff --git a/tests/back/models/dummy_text.json b/tests/back/models/dummy_text.json
new file mode 100644
index 00000000..9b0eb687
--- /dev/null
+++ b/tests/back/models/dummy_text.json
@@ -0,0 +1,25 @@
+{
+    "task_info": "TextClassificationTask",
+    "data": [
+        {
+            "text": "hola",
+            "class": "1"
+        },
+        {
+            "text": "como",
+            "class": "0"
+        },
+        {
+            "text": "como",
+            "class": "1"
+        },
+        {
+            "text": "estas",
+            "class": "1"
+        },
+        {
+            "text": "hola",
+            "class": "1"
+        }
+    ]
+}
diff --git a/tests/back/models/test_bow_text_class_model.py b/tests/back/models/test_bow_text_class_model.py
new file mode 100644
index 00000000..7ee8fb80
--- /dev/null
+++ b/tests/back/models/test_bow_text_class_model.py
@@ -0,0 +1,137 @@
+import io
+import os
+
+import numpy as np
+import pytest
+from datasets import DatasetDict
+from starlette.datastructures import UploadFile
+
+from DashAI.back.dataloaders.classes.dashai_dataset import (
+    select_columns,
+    split_dataset,
+    split_indexes,
+    to_dashai_dataset,
+)
+from DashAI.back.dataloaders.classes.json_dataloader import JSONDataLoader
+from DashAI.back.models.scikit_learn.bow_text_classification_model import (
+    BagOfWordsTextClassificationModel,
+)
+from DashAI.back.models.scikit_learn.sklearn_like_model import SklearnLikeModel
+
+
+@pytest.fixture(scope="module", name="splited_dataset")
+def splited_dataset_fixture():
+    test_dataset_path = "tests/back/models/dummy_text.json"
+    dataloader_test = JSONDataLoader()
+
+    with open(test_dataset_path, "r") as file:
+        json_binary = io.BytesIO(bytes(file.read(), encoding="utf8"))
+        file = UploadFile(json_binary)
+
+    datasetdict = dataloader_test.load_data(
+        filepath_or_buffer=file,
+        temp_path="tests/back/models",
+        params={"data_key": "data"},
+    )
+
+    datasetdict = to_dashai_dataset(datasetdict)
+
+    train_idx, test_idx, val_idx = split_indexes(
+        total_rows=len(datasetdict["train"]),
+        train_size=0.6,
+        test_size=0.2,
+        val_size=0.2,
+    )
+
+    splited_dataset = split_dataset(
+        datasetdict["train"],
+        train_indexes=train_idx,
+        test_indexes=test_idx,
+        val_indexes=val_idx,
+    )
+
+    x, y = select_columns(
+        splited_dataset,
+        ["text"],
+        ["class"],
+    )
+
+    return (x, y)
+
+
+@pytest.fixture(scope="module", name="model_params")
+def model_params_fixture() -> dict:
+    return {
+        "tabular_classifier": {
+            "component": "RandomForestClassifier",
+            "params": {
+                "n_estimators": 1,
+                "max_depth": None,
+                "min_samples_split": 2,
+                "min_samples_leaf": 1,
+                "max_leaf_nodes": None,
+                "random_state": None,
+            },
+        },
+        "ngram_min_n": 1,
+        "ngram_max_n": 1,
+    }
+
+
+def test_predict_tabular_models(splited_dataset: DatasetDict, model_params: dict):
+    x, y = splited_dataset
+    bowtc_model = BagOfWordsTextClassificationModel(**model_params)
+    bowtc_model.fit(x["train"], y["train"])
+
+    y_pred_bowtcm = bowtc_model.predict(x["test"])
+
+    assert isinstance(y_pred_bowtcm, np.ndarray)
+
+    assert y["test"].num_rows == len(y_pred_bowtcm)
+
+
+def test_save_and_load_model(splited_dataset: DatasetDict, model_params: dict):
+    x, y = splited_dataset
+    bowtc_model = BagOfWordsTextClassificationModel(**model_params)
+    bowtc_model.fit(x["train"], y["train"])
+
+    nwft_filename = "tests/back/models/nwft_model"
+    bowtc_model.save(nwft_filename)
+    loaded_model = SklearnLikeModel.load(nwft_filename)
+
+    y_pred_bowtcm = loaded_model.predict(x["test"])
+
+    assert isinstance(y_pred_bowtcm, np.ndarray)
+    assert y["test"].num_rows == len(y_pred_bowtcm)
+
+    os.remove(nwft_filename)
+
+
+def test_get_schema_from_model_class():
+    model_schema = BagOfWordsTextClassificationModel.get_schema()
+
+    assert isinstance(model_schema, dict)
+    assert "type" in model_schema
+    assert model_schema["type"] == "object"
+    assert "properties" in model_schema
+    assert isinstance(model_schema["properties"], dict)
+    assert {"tabular_classifier", "ngram_min_n", "ngram_max_n"} == model_schema[
+        "properties"
+    ].keys()
+    assert model_schema["properties"]["tabular_classifier"]["type"] == "object"
+    assert (
+        model_schema["properties"]["tabular_classifier"]["parent"]
+        == "TabularClassificationModel"
+    )
+    assert model_schema["properties"]["ngram_min_n"]["type"] == "integer"
+    assert model_schema["properties"]["ngram_min_n"]["minimum"] == 1
+    assert model_schema["properties"]["ngram_min_n"]["placeholder"] == 1
+    assert model_schema["properties"]["ngram_max_n"]["type"] == "integer"
+    assert model_schema["properties"]["ngram_max_n"]["minimum"] == 1
+    assert model_schema["properties"]["ngram_max_n"]["placeholder"] == 1
+    assert "required" in model_schema
+    assert set(model_schema["required"]) == {
+        "tabular_classifier",
+        "ngram_min_n",
+        "ngram_max_n",
+    }
diff --git a/tests/back/models/test_tabular_class_models.py b/tests/back/models/test_tabular_class_models.py
index 5c3ebe89..c64d0832 100644
--- a/tests/back/models/test_tabular_class_models.py
+++ b/tests/back/models/test_tabular_class_models.py
@@ -65,15 +65,48 @@ def tabular_model_fixture():
     return divided_dataset
 
 
-def test_check_is_fitted(divided_dataset: Tuple[DatasetDict, DatasetDict]):
-    knn_model = KNeighborsClassifier()
+@pytest.fixture(scope="module", name="model_params")
+def fixture_model_params() -> dict:
+    return {
+        "knn": {
+            "n_neighbors": 5,
+            "weights": "uniform",
+            "algorithm": "auto",
+        },
+        "rf": {
+            "n_estimators": 1,
+            "max_depth": None,
+            "min_samples_split": 2,
+            "min_samples_leaf": 1,
+            "max_leaf_nodes": None,
+            "random_state": None,
+        },
+        "svc": {
+            "C": 1.0,
+            "coef0": 0.0,
+            "degree": 3.0,
+            "gamma": "scale",
+            "kernel": "rbf",
+            "max_iter": -1,
+            "probability": True,
+            "shrinking": True,
+            "tol": 0.001,
+            "verbose": False,
+        },
+    }
+
+
+def test_check_is_fitted(
+    divided_dataset: Tuple[DatasetDict, DatasetDict], model_params: dict
+):
+    knn_model = KNeighborsClassifier(**model_params["knn"])
 
     knn_model.fit(divided_dataset[0]["train"], divided_dataset[1]["train"])
 
-    rf_model = RandomForestClassifier()
+    rf_model = RandomForestClassifier(**model_params["rf"])
     rf_model.fit(divided_dataset[0]["train"], divided_dataset[1]["train"])
 
-    svc_model = SVC()
+    svc_model = SVC(**model_params["svc"])
     svc_model.fit(divided_dataset[0]["train"], divided_dataset[1]["train"])
 
     try:
@@ -85,16 +118,18 @@ def test_check_is_fitted(divided_dataset: Tuple[DatasetDict, DatasetDict]):
         pytest.fail(f"Unexpected error in test_fit_models_tabular: {repr(e)}")
 
 
-def test_predict_tabular_models(divided_dataset: Tuple[DatasetDict, DatasetDict]):
-    knn_model = KNeighborsClassifier()
+def test_predict_tabular_models(
+    divided_dataset: Tuple[DatasetDict, DatasetDict], model_params: dict
+):
+    knn_model = KNeighborsClassifier(**model_params["knn"])
     knn_model.fit(divided_dataset[0]["train"], divided_dataset[1]["train"])
     y_pred_knn = knn_model.predict(divided_dataset[0]["test"])
 
-    rf_model = RandomForestClassifier()
+    rf_model = RandomForestClassifier(**model_params["rf"])
     rf_model.fit(divided_dataset[0]["train"], divided_dataset[1]["train"])
     y_pred_rf = rf_model.predict(divided_dataset[0]["test"])
 
-    svc_model = SVC()
+    svc_model = SVC(**model_params["svc"])
     svc_model.fit(divided_dataset[0]["train"], divided_dataset[1]["train"])
     y_pred_svm = svc_model.predict(divided_dataset[0]["test"])
 
@@ -107,15 +142,19 @@ def test_predict_tabular_models(divided_dataset: Tuple[DatasetDict, DatasetDict]
     assert divided_dataset[0]["test"].num_rows == len(y_pred_svm)
 
 
-def test_not_fitted_model(divided_dataset: Tuple[DatasetDict, DatasetDict]):
-    rf = RandomForestClassifier()
+def test_not_fitted_model(
+    divided_dataset: Tuple[DatasetDict, DatasetDict], model_params: dict
+):
+    rf = RandomForestClassifier(**model_params["rf"])
 
     with pytest.raises(NotFittedError):
         rf.predict(divided_dataset[0]["test"])
 
 
-def test_save_and_load_model(divided_dataset: Tuple[DatasetDict, DatasetDict]):
-    svc_model = SVC()
+def test_save_and_load_model(
+    divided_dataset: Tuple[DatasetDict, DatasetDict], model_params: dict
+):
+    svc_model = SVC(**model_params["svc"])
     svc_model.fit(divided_dataset[0]["train"], divided_dataset[1]["train"])
 
     svc_model.save("tests/back/models/svm_model")
diff --git a/tests/back/schemas/__init__.py b/tests/back/schemas/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/back/schemas/test_schemas.py b/tests/back/schemas/test_schemas.py
new file mode 100644
index 00000000..275c6194
--- /dev/null
+++ b/tests/back/schemas/test_schemas.py
@@ -0,0 +1,391 @@
+from abc import ABCMeta
+from typing import Final, List
+
+import pytest
+from pydantic import ValidationError
+
+from DashAI.back.config_object import ConfigObject
+from DashAI.back.core.schema_fields import (
+    BaseSchema,
+    bool_field,
+    component_field,
+    enum_field,
+    float_field,
+    int_field,
+    none_type,
+    schema_field,
+    union_type,
+)
+from DashAI.back.dependencies.registry.component_registry import ComponentRegistry
+
+
+class DummyBaseComponent(ConfigObject, metaclass=ABCMeta):
+    """Dummy class representing a component"""
+
+    TYPE: Final[str] = "Component"
+
+
+class DummyComponent(DummyBaseComponent):
+    pass
+
+
+class DummyBaseConfigComponent(ConfigObject, metaclass=ABCMeta):
+    """Dummy base class for configurable components"""
+
+    TYPE: Final[str] = "ConfigComponent"
+
+
+class DummyParamComponentSchema(BaseSchema):
+    comp: schema_field(
+        component_field(parent="DummyBaseComponent"), placeholder={}, description=""
+    )  # type: ignore
+    integer: schema_field(int_field(), placeholder=1, description="")  # type: ignore
+
+
+class DummyParamComponent(DummyBaseConfigComponent):
+    """A configurable component that has another component as param."""
+
+    SCHEMA = DummyParamComponentSchema
+
+    def __init__(self, **kwargs):
+        kwargs = self.validate_and_transform(kwargs)
+        assert isinstance(kwargs["comp"], DummyBaseComponent)
+        assert isinstance(kwargs["integer"], int)
+
+
+class NormalSchema(BaseSchema):
+    """Normal Schema for NormalParamComponent"""
+
+    integer: schema_field(int_field(le=2, ge=2), placeholder=2, description="")  # type: ignore
+    string: schema_field(
+        enum_field(enum=["foo", "bar"]), placeholder="foo", description=""
+    )  # type: ignore
+    number: schema_field(float_field(gt=0.0), placeholder=5e-5, description="")  # type: ignore
+    boolean: schema_field(bool_field(), placeholder=True, description="")  # type: ignore
+    obj: schema_field(
+        component_field(parent="DummyBaseConfigComponent"),
+        placeholder={"component": "DummyParamComponent", "params": {}},
+        description="",
+    )  # type: ignore
+
+
+class NormalParamComponent(DummyBaseConfigComponent):
+    """A configurable component with normal params"""
+
+    SCHEMA = NormalSchema
+
+    def __init__(self, **kwargs) -> None:
+        kwargs = self.validate_and_transform(kwargs)
+        assert isinstance(kwargs["integer"], int)
+        assert isinstance(kwargs["string"], str)
+        assert isinstance(kwargs["number"], float)
+        assert isinstance(kwargs["obj"], DummyBaseConfigComponent)
+
+
+class NullSchema(BaseSchema):
+    nullable_int: schema_field(none_type(int_field()), placeholder=1, description="")  # type: ignore
+    nullable_str: schema_field(
+        none_type(enum_field(enum=[""])), placeholder="", description=""
+    )  # type: ignore
+    nullable_obj: schema_field(
+        none_type(component_field(parent="DummyBaseComponent")),
+        placeholder={},
+        description="",
+    )  # type: ignore
+
+
+class NullParamComponent(DummyBaseConfigComponent):
+    """A configurable component with nullable params"""
+
+    SCHEMA = NullSchema
+
+    def __init__(self, **kwargs):
+        kwargs = self.validate_and_transform(kwargs)
+        assert kwargs["nullable_int"] is None or isinstance(kwargs["nullable_int"], int)
+        assert kwargs["nullable_str"] is None or isinstance(kwargs["nullable_str"], str)
+        assert kwargs["nullable_obj"] is None or isinstance(
+            kwargs["nullable_obj"], DummyBaseComponent
+        )
+
+
+class UnionSchema(BaseSchema):
+    """Union Schema for UnionParamComponent"""
+
+    int_str: schema_field(
+        union_type(int_field(), enum_field(enum=["foo"])),
+        placeholder=1,
+        description="",
+    )  # type: ignore
+    int_obj: schema_field(
+        union_type(int_field(), component_field(parent="DummyBaseComponent")),
+        placeholder=1,
+        description="",
+    )  # type: ignore
+
+
+class UnionParamComponent(DummyBaseConfigComponent):
+    """A configurable component with union params"""
+
+    SCHEMA = UnionSchema
+
+    def __init__(self, **kwargs):
+        kwargs = self.validate_and_transform(kwargs)
+        assert isinstance(kwargs["int_str"], (int, str))
+        assert isinstance(kwargs["int_obj"], (int, DummyBaseComponent))
+
+
+@pytest.fixture(scope="module", autouse=True, name="test_registry")
+def setup_test_registry(client):
+    """Setup a test registry with test task, dataloader and model components."""
+    container = client.app.container
+
+    test_registry = ComponentRegistry(
+        initial_components=[
+            DummyBaseComponent,
+            DummyComponent,
+            DummyBaseConfigComponent,
+            DummyParamComponent,
+            NormalParamComponent,
+            NullParamComponent,
+            UnionParamComponent,
+        ]
+    )
+
+    with container.component_registry.override(test_registry):
+        yield test_registry
+
+
+def test_normal_json_schema():
+    json_schema = NormalSchema.model_json_schema()
+    assert set(json_schema.keys()) == {
+        "description",
+        "properties",
+        "required",
+        "title",
+        "type",
+    }
+    assert isinstance(json_schema["description"], str)
+    assert isinstance(json_schema["properties"], dict)
+    assert set(json_schema["properties"].keys()) == {
+        "integer",
+        "string",
+        "number",
+        "boolean",
+        "obj",
+    }
+    assert json_schema["properties"]["integer"]["type"] == "integer"
+    assert json_schema["properties"]["integer"]["placeholder"] == 2
+    assert json_schema["properties"]["integer"]["maximum"] == 2
+    assert json_schema["properties"]["integer"]["minimum"] == 2
+    assert json_schema["properties"]["string"]["type"] == "string"
+    assert json_schema["properties"]["string"]["placeholder"] == "foo"
+    assert json_schema["properties"]["string"]["enum"] == ["foo", "bar"]
+    assert json_schema["properties"]["number"]["type"] == "number"
+    assert json_schema["properties"]["number"]["placeholder"] == 5e-5
+    assert json_schema["properties"]["number"]["exclusiveMinimum"] == 0.0
+    assert json_schema["properties"]["boolean"]["type"] == "boolean"
+    assert json_schema["properties"]["boolean"]["placeholder"] is True
+
+    assert set(json_schema["properties"]["obj"].keys()) == {
+        "description",
+        "parent",
+        "placeholder",
+        "properties",
+        "required",
+        "title",
+        "type",
+    }
+    assert isinstance(json_schema["properties"]["obj"]["properties"], dict)
+    assert json_schema["properties"]["obj"]["parent"] == "DummyBaseConfigComponent"
+    assert json_schema["properties"]["obj"]["placeholder"] == {
+        "component": "DummyParamComponent",
+        "params": {},
+    }
+    assert set(json_schema["properties"]["obj"]["properties"]) == {
+        "component",
+        "params",
+    }
+    assert (
+        json_schema["properties"]["obj"]["properties"]["component"]["type"] == "string"
+    )
+    assert json_schema["properties"]["obj"]["properties"]["params"]["type"] == "object"
+    assert set(json_schema["properties"]["obj"]["required"]) == {"component", "params"}
+    assert json_schema["properties"]["obj"]["title"] == "Obj"
+    assert json_schema["properties"]["obj"]["type"] == "object"
+
+    assert set(json_schema["required"]) == {
+        "integer",
+        "string",
+        "number",
+        "boolean",
+        "obj",
+    }
+    assert json_schema["title"] == "NormalSchema"
+    assert json_schema["type"] == "object"
+
+
+def test_union_json_schema():
+    json_schema = UnionSchema.model_json_schema()
+    assert set(json_schema.keys()) == {
+        "description",
+        "properties",
+        "required",
+        "title",
+        "type",
+    }
+    assert isinstance(json_schema["description"], str)
+    assert isinstance(json_schema["properties"], dict)
+    assert set(json_schema["properties"].keys()) == {"int_str", "int_obj"}
+
+    assert "anyOf" in json_schema["properties"]["int_str"]
+    assert len(json_schema["properties"]["int_str"]["anyOf"]) == 2
+    assert json_schema["properties"]["int_str"]["anyOf"][0]["type"] == "integer"
+    assert json_schema["properties"]["int_str"]["anyOf"][1]["type"] == "string"
+    assert json_schema["properties"]["int_str"]["placeholder"] == 1
+    assert json_schema["properties"]["int_str"]["description"] == ""
+    assert "anyOf" in json_schema["properties"]["int_obj"]
+    assert len(json_schema["properties"]["int_obj"]["anyOf"]) == 2
+    assert json_schema["properties"]["int_obj"]["anyOf"][0]["type"] == "integer"
+    assert json_schema["properties"]["int_obj"]["anyOf"][1]["type"] == "object"
+    assert json_schema["properties"]["int_obj"]["placeholder"] == 1
+    assert json_schema["properties"]["int_obj"]["description"] == ""
+
+    assert set(json_schema["required"]) == {"int_str", "int_obj"}
+    assert json_schema["title"] == "UnionSchema"
+    assert json_schema["type"] == "object"
+
+
+@pytest.fixture(scope="module", name="valid_normal_params")
+def fixture_valid_normal_params() -> dict:
+    return {
+        "integer": 2,
+        "string": "foo",
+        "number": 5e-5,
+        "boolean": True,
+        "obj": {
+            "component": "DummyParamComponent",
+            "params": {
+                "comp": {"component": "DummyComponent", "params": {}},
+                "integer": 1,
+            },
+        },
+    }
+
+
+def test_normal_schema(valid_normal_params: dict):
+    NormalParamComponent(**valid_normal_params)
+
+
+def test_incorrect_type_in_normal_schema(valid_normal_params: dict):
+    invalid_params = valid_normal_params.copy()
+    invalid_params["integer"] = 1.1
+    with pytest.raises(ValidationError, match="Input should be a valid integer"):
+        NormalParamComponent.SCHEMA.model_validate(invalid_params)
+
+    invalid_params = valid_normal_params.copy()
+    invalid_params["string"] = 2
+    with pytest.raises(ValidationError, match="Input should be a valid string"):
+        NormalParamComponent.SCHEMA.model_validate(invalid_params)
+
+    invalid_params = valid_normal_params.copy()
+    invalid_params["number"] = ""
+    with pytest.raises(ValidationError, match="Input should be a valid number"):
+        NormalParamComponent.SCHEMA.model_validate(invalid_params)
+
+    invalid_params = valid_normal_params.copy()
+    invalid_params["boolean"] = ""
+    with pytest.raises(ValidationError, match="Input should be a valid boolean"):
+        NormalParamComponent.SCHEMA.model_validate(invalid_params)
+
+    invalid_params = valid_normal_params.copy()
+    invalid_params["obj"] = 1
+    with pytest.raises(
+        ValidationError,
+        match="Input should be a valid dictionary",
+    ):
+        NormalParamComponent.SCHEMA.model_validate(invalid_params)
+
+
+def test_constraint_fails_in_normal_schema(valid_normal_params: dict):
+    invalid_params = valid_normal_params.copy()
+    invalid_params["integer"] = 1
+    with pytest.raises(ValidationError, match="Input should be greater than or equal"):
+        NormalParamComponent.SCHEMA.model_validate(invalid_params)
+
+    invalid_params = valid_normal_params.copy()
+    invalid_params["integer"] = 3
+    with pytest.raises(ValidationError, match="Input should be less than or equal"):
+        NormalParamComponent.SCHEMA.model_validate(invalid_params)
+
+    invalid_params = valid_normal_params.copy()
+    invalid_params["string"] = "foobar"
+    with pytest.raises(ValidationError, match="foobar is not in the enum"):
+        NormalParamComponent.SCHEMA.model_validate(invalid_params)
+
+
+@pytest.fixture(scope="module", name="valid_null_params")
+def fixture_valid_null_params() -> dict:
+    return {"nullable_int": None, "nullable_str": None, "nullable_obj": None}
+
+
+def test_null_schema(valid_null_params: dict):
+    NullParamComponent(**valid_null_params)
+
+
+def test_incorrect_type_in_null_schema(valid_null_params: dict):
+    invalid_params = valid_null_params.copy()
+    invalid_params["integer"] = None
+    with pytest.raises(ValidationError, match="Input should be a valid integer"):
+        NormalParamComponent.SCHEMA.model_validate(invalid_params)
+
+    invalid_params = valid_null_params.copy()
+    invalid_params["string"] = None
+    with pytest.raises(ValidationError, match="Input should be a valid string"):
+        NormalParamComponent.SCHEMA.model_validate(invalid_params)
+
+    invalid_params = valid_null_params.copy()
+    invalid_params["obj"] = None
+    with pytest.raises(
+        ValidationError,
+        match="Input should be a valid dictionary",
+    ):
+        NormalParamComponent.SCHEMA.model_validate(invalid_params)
+
+
+@pytest.fixture(scope="module", name="valid_union_params_list")
+def fixture_valid_union_params_list() -> List[dict]:
+    return [
+        {"int_str": 1, "int_obj": 1},
+        {"int_str": "foo", "int_obj": 1},
+        {"int_str": 1, "int_obj": {"component": "DummyComponent", "params": {}}},
+        {"int_str": "foo", "int_obj": {"component": "DummyComponent", "params": {}}},
+    ]
+
+
+def test_union_schema(valid_union_params_list: List[dict]):
+    for valid_union_params in valid_union_params_list:
+        UnionParamComponent(**valid_union_params)
+
+
+def test_incorrect_type_in_union_schema(valid_union_params_list: List[dict]):
+    for valid_union_params in valid_union_params_list:
+        invalid_params = valid_union_params.copy()
+        invalid_params["int_str"] = {
+            "component": "DummyComponent",
+            "params": {},
+        }
+        with pytest.raises(
+            ValidationError,
+            match=r"Input should be a valid integer|"
+            r"Input should be a valid integer string",
+        ):
+            UnionParamComponent.SCHEMA.model_validate(invalid_params)
+
+        invalid_params = valid_union_params.copy()
+        invalid_params["int_obj"] = ""
+        with pytest.raises(
+            ValidationError,
+            match=r"Input should be a valid integer|"
+            r"Input should be a valid dictionary",
+        ):
+            UnionParamComponent.SCHEMA.model_validate(invalid_params)