Ross ROSS = Recommend OSS · open-source software intelligence for agents

graphology/graphology

A robust & multipurpose Graph object for JavaScript & TypeScript. observed · 2026-08-28

github.com/graphology/graphology · homepage · JavaScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

65/100

  • Activity 93
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3661
  • days_rel: 571
  • days_push: 43
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

1734 stars · 116 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Graphology is a robust, multipurpose Graph data structure library for JavaScript and TypeScript supporting directed, undirected, mixed, simple, and multigraph variants under a unified interface. It ships with a standard library of graph theory algorithms, generators, layouts, and traversals, and emits events that make it suitable as a data backend for interactive renderers like sigma.js.

Use cases

  • model directed, undirected, or mixed graphs in JavaScript or TypeScript
  • run graph theory algorithms like centrality, community detection, or traversals
  • generate and manipulate network data for visualization with sigma.js
  • build interactive graph renderers in the browser using graph events
  • work with multigraphs and self-loops in a unified data structure
  • compute graph metrics such as density or modularity
  • serialize and transform network datasets in Node.js

When to choose

  • you need a general-purpose graph data structure in JS/TS with a rich algorithm library
  • you are building network visualizations, especially with sigma.js
  • you need flexible graph variants (directed, mixed, multigraph) in one interface
  • you want event-emitting graphs for interactive applications

When to avoid

  • you need high-performance graph processing on massive graphs better suited to native or GPU-backed tools
  • you only need simple adjacency lists without algorithms or events
  • you work primarily in Python or another non-JS ecosystem

Facets

library · maturity stable

data-visualization developer-tools graph-processing web-development data-visualization browser graph-theory graph-data-structure network-analysis directed-graphs undirected-graphs multigraph graph-algorithms sigma-js algorithms nodejs javascript typescript

3 sources

Member repositories

RepositoryRoleHealth v2
graphology/graphologymain65

For agents

markdown · JSON · MCP: product_card(name="graphology/graphology")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem