README.md

# LynxKite 2000:MM

LynxKite 2000:MM is a GPU-accelerated data science platform and a general tool for collaboratively edited workflows.

Features include:

- A web UI for building and executing data science workflows.
- An extensive toolbox of graph analytics operations powered by NVIDIA RAPIDS (CUDA).
- An integrated collaborative code editor makes it easy to add new operations.
- An environment for visually designing neural network model architectures.
- The infrastructure for easily creating other workflow design environments. See `lynxkite-pillow-example` for a simple example.

This is the next evolution of the classical [LynxKite](https://github.com/lynxkite/lynxkite).
The two tools offer similar functionality, but are not compatible.
This version runs on GPU clusters instead of Hadoop clusters.
It targets CUDA instead of Apache Spark. It is much more extensible.

## Installation

```bash
pip install lynxkite lynxkite-graph-analytics
```

## Getting started

- [Online demo](https://lynx-analytics-lynxkite.hf.space/)
- [Quickstart](https://lynxkite.github.io/lynxkite-2000/guides/quickstart/)
- [Contributing](https://lynxkite.github.io/lynxkite-2000/contributing/)

## License

LynxKite 2000:MM is licensed under the GNU AGPLv3. See the [LICENSE](LICENSE) file for details.

[Lynx Analytics](https://www.lynxanalytics.com/) offers a commercial license of LynxKite 2000:MM
that includes additional features and support. Get in touch if you are interested in life sciences tools
and cluster deployment!