semvec/pypi-packages huggingface dataset:
reflex-ag-grid 0.0.11
AGGrid wrapping for Reflex
License: Apache-2.0
Requires Python: >=3.10
Keywords: reflex-ag-grid, ag-grid, reflex, reflex-custom-components, aggrid, dashboard

> [!WARNING]  
> This component is no longer maintained.
> For the AG Grid maintained by the Reflex team, please use https://enterprise.reflex.dev/ag-grid from now on.

# AGGrid for Reflex

This package provides a Reflex component wrapping the AGGrid library.

<img src="aggrid_preview.png" width="500px">

> [!WARNING]
> As it is a WorkInProgress (WIP), only some parts of the AGGrid library features are wrapped, but it should be enough for most use cases.

## Installation

```bash
pip install reflex-ag-grid
```

## Usage

```python
from reflex_ag_grid import ag_grid
```

## Helpers tools

Some implementation is offered for DataSource and handlers.

```python
from reflex_ag_grid.data_source import DataSource
from reflex_ag_grid import handlers
```

## Simple Example

```python
import reflex as rx
from reflex_ag_grid import ag_grid
import pandas as pd


df = pd.read_csv(
    "https://raw.githubusercontent.com/plotly/datasets/master/wind_dataset.csv"
)

column_defs = [
    ag_grid.column_def(field="direction"),
    ag_grid.column_def(field="strength"),
    ag_grid.column_def(field="frequency"),
]


def ag_grid_simple():
    return ag_grid(
        id="ag_grid_basic_1",
        row_data=df.to_dict("records"),
        column_defs=column_defs,
    )
```

Check out more documentation at [Reflex](https://reflex.dev/docs/library/tables-and-data-grids/ag-grid/).

## FAQ

- **The AGGrid feature I want is not available. What can I do?**

    This component is a partial wrapping of all the features of AGGrid. If you need a feature that is not available, 
    open an issue to request it. We will try to implement it when possible.

    If you can't wait for the team to implement it, you can also submit a PR with the feature you need.
orca-cli 0.1.0
Ollama Registry CLI Application
License: Apache-2.0
Requires Python: >=3.10

# ORCA: Ollama Registry CLI Application

ORCA is a command-line interface application that allows you to search, explore, and download models from the Ollama Registry. It provides an intuitive interface for discovering models, viewing their tags, and pulling them to your local Ollama installation.

## Features

- Search the Ollama Registry for models
- View available tags for models
- Pull models directly to your local Ollama installation
- Open model pages in your browser for more information

## Installation

### Prerequisites

- Python 3.10 or higher
- Ollama installed on your system

### Setup

1. Clone the repository:
   ```bash
   git clone https://github.com/molbal/orca.git
   cd orca
   ```

2. Install the required dependencies:
   ```bash
   pip install -r requirements.txt
   ```

## Usage

### CLI Commands

ORCA provides the following commands:

#### Search for models
```bash
python main.py search [QUERY]
```
- If no query is provided, you'll be prompted to enter a search term interactively.

Example:
```bash
python main.py search gemma3
```

#### Download a model
```bash
python main.py download [MODEL_NAME] [TAG] [FILE_NAME] [DIRECTORY]
```
- Downloads a specific model tag to the specified file and directory.

Example:
```bash
python main.py download llama3.2 1b model.gguf .
```

### Getting Help
You can always get help by using:
```bash
python main.py --help
```


## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (`git checkout -b feature/new-feature`)
3. Commit your changes (`git commit -m 'Add some new feature'`)
4. Push to the branch (`git push origin feature/new-feature`)
5. Open a Pull Request

## License

This project is licensed under the Apache - see the LICENSE file for details.

## Acknowledgments

- [Ollama](https://ollama.com/) for hosting the registry
- All the open-source projects that make ORCA possible

---

*ORCA is not officially affiliated with Ollama.*