"Flat Graph" is not a named product in the request, so the best fits are software that builds, renders or analyzes graphs. rustworkx 10 is a Python package for graph data structures, standard graph algorithms and visualization, and Networkx 8 is a graph library, though its source page is nearly empty. Neo4j Visualization Library (NVL) appears in the indexed actions of Docker 1 for browser-based graph rendering, and Matplotlib 5 covers general plotting and exports to many formats.

A question back: Do you mean a graph algorithm library, a graph visualization tool, or a flat graph data format? Which language or platform are you using?

1. 1

   Networkxnetworkx.orgverified and signed

   Graph library for creating, studying and analyzing networks, with graph-related actions indexed for it.

   Website

   +1 community tools built for it

   for agents: graph · Graph · Theory

2. 2

   rustworkxrustworkx.orgverified and signed

   Python package for graph data structures, a library of standard graph algorithms and visualization functions 10.

   WebsiteDocs

   for agents: Graph · DAG · Network

3. 3

   Matplotlibmatplotlib.orgverified and signed

   Python library for static, animated and interactive visualizations that exports to many file formats 5.

   WebsiteDocs

   +5 community tools built for it

   for agents: kwargs · cycle