semvec/pypi-packages huggingface dataset:
videosdk 0.2.9
VideoSDK Python SDK
Requires Python: >=3.11
Keywords: ml, webrtc, audio, video, ai, videosdk

# VideoSDK Python SDK

## Overview

The VideoSDK Python SDK provides a convenient way to interact with the VideoSDK API. It allows you to integrate video functionalities, including video calling, recording, and streaming, into your Python applications easily.

## Features

- **Video Calling**: Start, join, and manage video calls.
- **Recording**: Record video calls.
- **Live Streaming**: Stream your video calls to platforms like YouTube, Facebook, etc.
- **Chat**: Send and receive messages during a video call.

## Installation

To install the SDK, use pip:

```bash
pip install videosdk
```

## Documentation

For detailed documentation, visit the [VideoSDK Documentation](https://docs.videosdk.live).

## Support

If you need help or have any questions, please feel free to reach out to our support team at [support@videosdk.live](mailto:support@videosdk.live) or join our community forum.
xtensor-datatensor 0.1.0
Lightweight DataTensor wrapper that mimics a subset of xarray.DataArray APIs on top of torch.Tensor.
Requires Python: >=3.9
Keywords: tensor, data, xarray, pytorch

# xtensor

`xtensor` provides a `DataTensor` class that wraps a `torch.Tensor` with labels and coordinates inspired by `xarray.DataArray`. The goal is to enjoy lightweight labeled computations without leaving eager PyTorch workflows.

## Features

- Construction from torch / numpy data with dimension names and coordinates.
- Factory helpers from `pandas` objects or existing `xarray.DataArray`.
- Label (`sel`) and positional (`isel`) slicing.
- Mean, standard deviation, sum, min, max style reductions.
- Elementwise math with scalars or other `DataTensor` objects that share the same coordinates.
- Device-agnostic `.to()` mirror of `torch.Tensor.to`.

## Development

Install dependencies in editable mode.

```bash
pip install -e ".[dev]"
```

Run the tests.

```bash
pytest
```