semvec/pypi-packages huggingface dataset:
vonage-video-connector 0.2.2b0
Vonage Video Connector for Python
Requires Python: ~=3.13.0

## Vonage Video Connector Library

This library allows you to programmatically participate in Vonage Video API sessions as a server-side WebRTC
participant with the ability to publish and subscribe to audio and video streams.

For more information, see the Vonage Video Connector documentation:
* [Unified platform](https://developer.vonage.com/en/video/guides/vonage-video-connector)
* [Opentok](https://tokbox.com/developer/guides/vonage-video-connector/)
clear-skies-gitlab 2.0.10
Gitlab module for Clearskies
Requires Python: <4.0,>=3.11


# gitlab


Gitlab module for Clearskies

This template scaffolds a dynamic Clearskies module for any kind of logic, integration, or API. You can use it to build modules for data processing, service integration, automation, or any custom business logic.

Your module can implement any logic you need: fetch data, process input, interact with external services, or perform custom actions. The endpoints and payloads are up to you.

## Installation

```bash
# Install uv if not already installed
pip install uv

# Create a virtual environment and install dependencies
uv sync
```

## Development

To set up your development environment with pre-commit hooks:

```bash
# Install uv if not already installed
pip install uv

# Create a virtual environment and install all dependencies (including dev)
uv sync

# Install dev dependencies (including ruff, black, mypy) in the project environment
uv pip install .[dev]

# Install pre-commit hooks
uv run pre-commit install

# Optionally, run pre-commit on all files
uv run pre-commit run --all-files
```

## Usage Example

```python
import clearskies
import clearskies_gitlab

wsgi = clearskies.contexts.WsgiRef(
    clearskies_gitlab.build__module()
)
wsgi()
```