# bijection/g9

Automatically Interactive Graphics 🖼✨💯

Repository: https://github.com/bijection/g9
Canonical: https://ross.abutalabs.com/products/g9
Homepage: http://omrelli.ug/g9/gallery
Language: JavaScript
License: MIT
License Family: permissive
Last push: 2025-06-26T18:56:38+00:00

## Health v2 (maintenance only)
Score: 35/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 28, release rhythm 8, longevity 100
- inputs: {"age_days": 3780, "days_push": 433, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1973, forks 48 (observed 2026-08-28T04:06:01.078383+00:00)

## What it is
g9 is a JavaScript library for creating automatically interactive graphics. You write a render function that draws shapes from data, and g9 automatically solves for how the data should change when users drag shapes around.

## Use cases
- create interactive visualizations without writing drag handlers
- build explorable explanations of math and geometry
- make draggable diagrams where all elements stay consistent
- teach concepts with manipulable graphics
- prototype interactive geometry demos quickly

## When to choose
- you want drag interactivity from a pure render function with no extra code
- you're building educational or exploratory visualizations
- you want lightweight browser-based SVG graphics driven by data

## When to avoid
- you need a full-featured charting library with axes and legends
- you need high-performance canvas or WebGL rendering
- you need complex UI widgets beyond draggable shapes

## Facets
- artifact type: library
- maturity: maintenance
- function: data-visualization, animation, graphics
- domain: data-visualization, web-development, frontend
- platform: browser
- tags: interactive-graphics, svg, drag-and-drop, bidirectional-rendering, visualization, nodejs, javascript

## Member repositories
- bijection/g9 (main) score 35

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:01.078383+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:04:57.660588+00:00, confidence not recorded.
  - readme: https://github.com/bijection/g9 (fetched 2026-08-28T04:06:01.078383+00:00, sha 1e21e05796c9)
  - homepage: http://omrelli.ug/g9/gallery (fetched 2026-08-29T10:44:36.749069+00:00, sha a8919c4f0589)
  - registry_npm: https://registry.npmjs.org/g9 (fetched 2026-08-29T10:44:36.758711+00:00, sha 865fa0844c21)
- Data as of 2026-08-30T08:39:29.467469+00:00.