semvec/pypi-packages huggingface dataset:
mysticat-data-service-types 1.0.0
Pydantic models for Mysticat Data Service API (PostgREST)
Requires Python: >=3.10
Keywords: models, mysticat, postgrest, pydantic, types

# mysticat-data-service-types

Pydantic models for Mysticat Data Service API (PostgREST).

## Installation

```bash
pip install mysticat-data-service-types
```

## Usage

```python
from mysticat_data_service_types import Organizations, Sites, Audits

# Type hints for API responses
def process_organization(org: Organizations) -> None:
    print(org.name)

# Validation
org = Organizations(
    id="01234567-89ab-cdef-0123-456789abcdef",
    name="My Organization",
    ims_org_id="ABC123@AdobeOrg",
    # ...
)
```

## License

Apache-2.0
snowddl 0.63.0
Object management automation tool for Snowflake
Requires Python: >=3.9
Keywords: snowflake, database, schema, object, change, ddl, sql, create, alter, drop, grant, table, view

# SnowDDL

[![PyPI](https://badge.fury.io/py/snowddl.svg)](https://badge.fury.io/py/snowddl)
[![Getting Started](https://github.com/littleK0i/SnowDDL/actions/workflows/getting_started.yml/badge.svg)](https://github.com/littleK0i/SnowDDL/actions/workflows/getting_started.yml)
[![Pytest](https://github.com/littleK0i/SnowDDL/actions/workflows/pytest.yml/badge.svg)](https://github.com/littleK0i/SnowDDL/actions/workflows/pytest.yml)

SnowDDL is a [declarative-style](https://www.snowflake.com/blog/embracing-agile-software-delivery-and-devops-with-snowflake/) tool for object management automation in [Snowflake](http://snowflake.com).

It is not intended to replace other tools entirely, but to provide an alternative approach focused on practical data engineering challenges.

You may find SnowDDL useful if:

- complexity of object schema grows exponentially, and it becomes hard to manage;
- your organization maintains multiple Snowflake accounts (dev, stage, prod);
- your organization has multiple developers sharing the same Snowflake account and suffering from conflicts;
- it is necessary to generate some part of configuration dynamically using Python;

## Main features

1. SnowDDL is "stateless".
2. SnowDDL can revert any changes.
3. SnowDDL supports ALTER COLUMN.
4. SnowDDL provides built-in "Role hierarchy" model.
5. SnowDDL re-creates invalid views automatically.
6. SnowDDL simplifies code review.
7. SnowDDL supports creation of isolated "environments" for individual developers and CI/CD scripts.
8. SnowDDL strikes a good balance between dependency management overhead and parallelism.
9. SnowDDL configuration can be generated dynamically in Python code.
10. SnowDDL can manage packages for Java and Python UDF scripts natively.

## Quick links

- [Getting started](https://docs.snowddl.com/getting-started)
- [Main features](https://docs.snowddl.com/features)
- [Object types](https://docs.snowddl.com/object-types)
- [Role hierarchy](https://docs.snowddl.com/guides/role-hierarchy)
- [CLI interface](https://docs.snowddl.com/basic/cli)
- [YAML configs](https://docs.snowddl.com/basic/yaml-configs)
- [Changelog](/CHANGELOG.md)

## Introduction videos

- [:video_camera: Main features](https://www.youtube.com/watch?v=e5K4jmlxvWc "SnowDDL: Main Features")
- [:video_camera: Getting started](https://www.youtube.com/watch?v=OtMebyQizRA "SnowDDL: Getting Started")

## Mini-roadmap

- ~~placeholders in YAML configs~~ (done)
- ~~documentation for dynamic config generation in Python ("advanced mode")~~ (done)
- ~~video tutorials~~ (done, but more tutorials are coming in future)
- full test coverage for all object types and transformations

## Issues? Questions? Feedback?

Please use GitHub "Issues" to report bugs and technical problems.

Please use GitHub "Discussions" to ask questions and provide feedback.

## Created by
[Vitaly Markov](https://www.linkedin.com/in/markov-vitaly/), 2025

Enjoy!
lanelet2-ww 1.2.2.100
Map handling framework for automated driving.


Lanelet2 is a C++-based framework for handling map data in the context of automated driving. It is designed to utilize high-definition map data in order to efficiently handle the challenges posed to a vehicle in complex traffic scenarios. Flexibility and extensibility are some of the core principles to handle the upcoming challenges of future maps.

Features:
- **2D and 3D** support
- **Consistent modification**: if one point is modified, all owning objects see the change
- Supports **lane changes**, routing through areas, etc.
- **Separated routing** for pedestrians, vehicles, bikes, etc.
- Many **customization points** to add new traffic rules, routing costs, parsers, etc.
- **Simple convenience functions** for common tasks when handling maps
- **Accurate Projection** between the lat/lon geographic world and local metric coordinates
- **IO Interface** for reading and writing e.g. *osm* data formats (this does not mean it can deal with *osm maps*)
- **Python** bindings for the whole C++ interface
- **Boost Geometry** support for all thinkable kinds of geometry calculations on map primitives
- Released under the **BSD 3-Clause license**
mapchete-eo 2026.2.0
mapchete EO data reader
Requires Python: >=3.10

.. image:: logo/mapchete_eo.svg

Earth Observation–specific driver extensions for `Mapchete <https://github.com/ungarj/mapchete>`_.

.. image:: https://img.shields.io/pypi/v/mapchete-eo.svg
  :target: https://pypi.org/project/mapchete-eo/

.. image:: https://img.shields.io/conda/v/conda-forge/mapchete-eo
  :target: https://anaconda.org/conda-forge/mapchete-eo

.. image:: https://img.shields.io/pypi/l/mapchete-eo.svg
  :target: https://github.com/mapchete/mapchete-eo/blob/main/LICENSE

.. image:: https://img.shields.io/github/actions/workflow/status/mapchete/mapchete-eo/python-package.yml?label=tests
  :target: https://github.com/mapchete/mapchete-eo/actions

.. image:: https://codecov.io/gh/mapchete/mapchete-eo/graph/badge.svg?token=VD1YOF3QA2
  :target: https://codecov.io/gh/mapchete/mapchete-eo

.. image:: https://img.shields.io/github/repo-size/mapchete/mapchete-eo
  :target: https://github.com/mapchete/mapchete-eo

This package provides custom input and output drivers tailored for common EO data formats and workflows, enabling seamless integration of satellite data sources into the Mapchete tile-based geoprocessing framework.

What is this?
-------------

**mapchete-eo** extends Mapchete by adding support for:

- Custom **input drivers** to read EO datasets, from STAC search or metadata (catalogs, collections, items)
- Metadata extraction and band management for optical satellite products
- Reading data from sources via **STAC assets**

This package is intended for advanced users or developers who are working with remote sensing workflows using Mapchete.

Installation
------------

You must have ``mapchete`` with ``s3`` installed, so let's grab the ``complete`` dependencies in this case for convenience:

.. code-block:: bash

    uv pip install mapchete[complete]

Then install mapchete-eo:

.. code-block:: bash

    uv pip install mapchete-eo