# Graphistry > Graphistry is a GPU-accelerated visual graph analytics platform for exploring, analyzing, and sharing very large graphs and networks in the browser. Its open-source PyGraphistry Python client loads, shapes, embeds, and visualizes big graphs from Pandas, Spark, and RAPIDS with end-to-end GPU acceleration, and includes GFQL (a vectorized graph query language). Graphistry Hub is the hosted service exposing a JWT-authenticated REST API. This llms.txt was generated by the API Evangelist enrichment pipeline from the public Graphistry surface and the artifacts in this repository (method: generated). ## APIs - [Graphistry Hub REST API](https://hub.graphistry.com/docs/api/1/rest/auth/): JWT-authenticated REST API for authentication, dataset/file upload, and visualization datasets on Graphistry Hub. ## Docs - [PyGraphistry Documentation](https://pygraphistry.readthedocs.io/en/latest/): Full client library documentation. - [Getting Started (10 min)](https://pygraphistry.readthedocs.io/en/latest/10min.html): Quickstart guide. - [API Reference](https://pygraphistry.readthedocs.io/en/latest/api/index.html): PyGraphistry API reference. - [REST API Authentication](https://hub.graphistry.com/docs/api/1/rest/auth/): JWT token obtain/refresh/verify endpoints. - [Changelog](https://github.com/graphistry/pygraphistry/blob/master/CHANGELOG.md): Keep a Changelog + SemVer. ## Packages - [graphistry (PyPI)](https://pypi.org/project/graphistry/): Official Python client - pip install graphistry. - [graphistry-js](https://github.com/graphistry/graphistry-js): Official JavaScript embedding API. - [graphistry-cli](https://github.com/graphistry/graphistry-cli): CLI for self-hosted deployments. ## Repositories - [PyGraphistry](https://github.com/graphistry/pygraphistry): Python library (BSD-3-Clause). - [GitHub Organization](https://github.com/graphistry): All public Graphistry repositories. ## Tools - [graphistry-mcp (community)](https://github.com/graphistry/graphistry-mcp): Community-maintained MCP server exposing Graphistry visualization/analytics tools to LLMs.