Rewriting NetworkX in Rust Boosts Speed by up to 500x
doodlestein · x · 2026-07-15
The author shares the power of graph theory in data analysis: by abstracting things into nodes and edges, you can easily find critical nodes, identify system bottlenecks, and optimize concurrent agent workflows.
To boost performance, the author completely rewrote NetworkX, the leading Python graph computation library, in Rust (project named FrankenNetworkX). The new version is fully compatible with original tests but runs 5 to 500 times faster, allowing for seamless integration into existing projects. The author has already applied it to their own long-term memory engine for agents.
More from coding & agent
- Devin adds e2b sandboxes for remote agent execution — badphilosopher · 2026-07-22
- Hermes Agent Refactoring Proposal: Decoupling via Event Bus and Monorepo Slicing — Promptmethus · 2026-07-22
- ty now reads Pydantic config keywords and field metadata — charliermarsh · 2026-07-22
- Pensar Launches AI Security Agent to Autonomously Discover and Patch 0-Days — andriy_mulyar · 2026-07-22
- ty adds first-class Pydantic support, including strict and lax field handling — charliermarsh · 2026-07-22
- Google launches Gemini 3.5 Flash Cyber for CodeMender, with limited access for governments — GoogleAI · 2026-07-22