PyGraphistry: Leverage the power of graphs & GPUs to visualize, analyze, and scale your data

PyGraphistry is an open source Python library for data scientists and developers to leverage the power of graph visualization, analytics, AI, including with native GPU acceleration:

• Visualize & explore large graphs: In just a few minutes, create stunning interactive visualizations with millions of edges and many point-and-click built-ins like drilldowns, timebars, and filtering. When ready, customize with Python, JavaScript, and REST APIs.

• Python dataframe-native graph processing: Quickly ingest & prepare data in many formats, shapes, and scales as graphs. Use tools like Pandas, Spark, RAPIDS (GPU), and Apache Arrow.

• Query graphs with GFQL: Query relationships in dataframes with Cypher syntax or Python chains. With engine='polars', GFQL runs vectorized dataframe operations in Rust on CPU. Use engine='polars-gpu' for GPU acceleration. Run queries locally through g.gfql(...) or remotely through g.gfql_remote([...]).

• Integrations: Connect to graph databases, data platforms, Python tools, and more.

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