pygraphistry
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
The Lens
PyGraphistry is the Python client for Graphistry, a GPU-accelerated graph visualization platform. Load a few million nodes and edges, get an interactive zoomable graph in your browser. Free Python library, paid server tiers.
The library is open source and easy to use. Pandas DataFrame in, visualization out. You point it at the Graphistry Hub (free tier with limits) or your own enterprise server. The rendering happens server-side on a GPU, which is what makes this scale to graphs that would melt D3 or sigma.js.
For data scientists doing exploratory analysis on biggish graphs, this is the right tool. The free Hub tier is fine for personal use and demos. Teams that need private data or higher limits pay for the enterprise server, which is real money. Quote-required, not self-serve. If you can't justify that, look at Memgraph Lab, Neo4j Bloom on Aura's free tier, or roll your own with sigma.js.
The catch is the GPU dependency. The client library is free but useless without a Graphistry server, and you can't self-host the server free tier. Plan around that before you build it into a product.
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Free vs Self-Hosted vs Paid
open core**Free (client library):** PyGraphistry is BSD-3-Clause. All client features included.
**Free (Graphistry Hub):** Free tier with usage limits, public dataset visibility, smaller graph size caps. Fine for learning, personal projects, demos.
**Paid (enterprise server):** Self-hosted GPU server with private data, higher limits, and SSO. Pricing is quote-only and meant for organizations, not individuals.
Free for personal exploration on the public Hub. Real production use needs an enterprise server, which is enterprise-priced.
License: BSD 3-Clause "New" or "Revised" License
Use freely. No endorsement clause.
Commercial use: ✓ Yes
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