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:

• 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.

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

  Category	Connector Tutorials
  Data Platforms, SQL & Logs
  Graph Databases

From global 10 banks, manufacturers, news agencies, and government agencies, to startups, game companies, scientists, biotechs, and NGOs, many teams are tackling their graph workloads with Graphistry.

AI Assistant Integration

For LLM coding assistants (Claude Code, Cursor, Codex, etc.), install the official graphistry-skills package for better PyGraphistry code generation:

npx skills add graphistry/graphistry-skills

Skills improve AI success rates from ~50% to ~90% on PyGraphistry tasks by providing context-aware guidance for graph ETL, visualization, GFQL queries, and AI workflows.

Gallery

The notebook demo gallery shares many more live visualizations, demos, and integration examples

Install

Common configurations:

• Minimal core

  Includes: The GFQL dataframe-native graph query language, built-in layouts, Graphistry visualization server client

  pip install graphistry
  

  Does not include graphistry[ai], plugins

• No dependencies and user-level

  pip install --no-deps --user graphistry
  

• GPU acceleration - Optio