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How three.js’s scores are calculated

The full audit trail, recomputed from the verdict data at build time through the same code that produced the leaderboard: verdict × quality × story weight per cell, cells sum to dimension scores, dimensions blend into the PA Score. Every number on the product page is reproducible from this page alone; for why the formula looks like this, see the methodology.

verdict factors: full ×1.0 · partial ×0.6 · disputed ×0.3 · none ×0.0 · n/a excluded from both sides · cell points = weight × quality × factor · cell max = weight × 10

PA Score22/100

Agent-ready 24.9 × 0.30 = 7.47

API quality 25.7 × 0.20 = 5.14

Openness 45.0 × 0.20 = 9.00

Built-in AI 4.0 × 0.15 = 0.60

Automation 0.0 × 0.15 = 0.00

(7.47 + 5.14 + 9.00 + 0.60 + 0.00) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 22.21 ÷ 1.00 = 22.2

Scores are stored to 1 decimal; the product page’s pills round to whole numbers for display. Each dimension below shows the stories, verdicts, and cited evidence behind its number.

Agent-ready24.9/100×0.30 of the PA blend

Outside-in: can YOUR agent reach and drive this product — API, MCP, CLI, headless runs, agent docs.

Point an agent at llms.txt or agent-oriented docsweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [probe] https://threejs.org/llms.txtPROBE llms.txt: HTTP 200 at https://threejs.org/llms.txt # Three.js > Three.js is a cross-browser JavaScript library for creating 3D graphics using WebGL and WebGPU. See the f
  • [probe] https://threejs.org/docs/llms.txtPROBE runtime (recorded 2026-09-15): threejs.org publishes llms.txt at the site root pointing to a docs llms.txt that carries a literal '## Instructions for Large Language Models' section plus a 363 KB llms-full.txt of the complete docs. Caveat recorded honestly: human doc pages are hash-routed (no per-page static URLs) — the llms files are the machine path. No three.js MCP exists, official or notable community; coding agents drive the library directly through npm.
  • [claimed-docs] https://threejs.org/docs/llms.txtTSL benefits: - Works with both WebGL and WebGPU backends - No string manipulation or onBeforeCompile hacks
  • [claimed-docs] https://threejs.org/docs/llms.txtTSL benefits: - Works with both WebGL and WebGPU backends - No string manipulation or onBeforeCompile hacks - Type-safe, composable shader nodes - Automatic optimization

Run the product headlessly / in CI for automationweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Plug MCP servers into this product so it can use their toolsweight 3

n/a — not applicable to this product: excluded from numerator and denominator

  • [probe] https://threejs.org/docs/llms.txtPROBE runtime (recorded 2026-09-15): threejs.org publishes llms.txt at the site root pointing to a docs llms.txt that carries a literal '## Instructions for Large Language Models' section plus a 363 KB llms-full.txt of the complete docs. Caveat recorded honestly: human doc pages are hash-routed (no per-page static URLs) — the llms files are the machine path. No three.js MCP exists, official or notable community; coding agents drive the library directly through npm.

Connect an agent via an official MCP serverweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Use an official CLIweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Drive the product through a documented public APIweight 3

3 (weight) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max

  • [probe] https://threejs.org/llms.txtPROBE llms.txt: HTTP 200 at https://threejs.org/llms.txt # Three.js > Three.js is a cross-browser JavaScript library for creating 3D graphics using WebGL and WebGPU. See the f
  • [probe] https://threejs.org/docs/llms.txtPROBE runtime (recorded 2026-09-15): threejs.org publishes llms.txt at the site root pointing to a docs llms.txt that carries a literal '## Instructions for Large Language Models' section plus a 363 KB llms-full.txt of the complete docs. Caveat recorded honestly: human doc pages are hash-routed (no per-page static URLs) — the llms files are the machine path. No three.js MCP exists, official or notable community; coding agents drive the library directly through npm.
  • [probe] https://threejs.org/openapi.jsonPROBE openapi: all candidate paths 404 (https://threejs.org/openapi.json, https://threejs.org/swagger.json, https://threejs.org/api/openapi.json, https://threejs.org/.well-known/openapi.json)
  • [claimed-docs] https://threejs.org/docs/llms.txtTSL benefits: - Works with both WebGL and WebGPU backends - No string manipulation or onBeforeCompile hacks
  • [claimed-docs] https://threejs.org/docs/llms.txt[GLTFLoader](https://threejs.org/docs/#examples/en/loaders/GLTFLoader)
  • [github] https://github.com/mrdoob/three.jsconst renderer = new THREE.WebGLRenderer( { antialias: true } ); renderer.setSize( width, height );

Issue scoped/least-privilege API credentials for an agentweight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Build against official SDKsweight 2

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [probe] https://threejs.org/docs/llms.txtPROBE runtime (recorded 2026-09-15): threejs.org publishes llms.txt at the site root pointing to a docs llms.txt that carries a literal '## Instructions for Large Language Models' section plus a 363 KB llms-full.txt of the complete docs. Caveat recorded honestly: human doc pages are hash-routed (no per-page static URLs) — the llms files are the machine path. No three.js MCP exists, official or notable community; coding agents drive the library directly through npm.
  • [probe] https://threejs.org/llms.txtPROBE llms.txt: HTTP 200 at https://threejs.org/llms.txt # Three.js > Three.js is a cross-browser JavaScript library for creating 3D graphics using WebGL and WebGPU. See the f
  • [claimed-docs] https://threejs.org/docs/llms.txtTSL benefits: - Works with both WebGL and WebGPU backends - No string manipulation or onBeforeCompile hacks
  • [claimed-docs] https://threejs.org/docs/llms.txt[GLTFLoader](https://threejs.org/docs/#examples/en/loaders/GLTFLoader)
  • [probe] https://www.npmjs.com/package/threePROBE runtime (recorded 2026-09-15): `npm view three version` → 0.186.0, and the public npm downloads API reports 12,206,532 weekly downloads — an order of magnitude above every other engine in the arena. MIT license verified from the registry.

Subscribe to events via webhooksweight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Agent-ready = 34.8 ÷ 140 × 100 = 24.9

API quality25.7/100×0.20 of the PA blend

The programmable surface once an agent is there — machine-readable spec, interactive docs, sandbox, versioning discipline.

Explore an interactive API reference with runnable examplesweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://threejs.org/examples/three.js examples
  • [claimed-docs] https://threejs.org[docs](manual/#en/creating-a-scene) [examples](examples/#webgl_animation_keyframes)
  • [probe] https://threejs.org/docs/llms.txtPROBE runtime (recorded 2026-09-15): threejs.org publishes llms.txt at the site root pointing to a docs llms.txt that carries a literal '## Instructions for Large Language Models' section plus a 363 KB llms-full.txt of the complete docs. Caveat recorded honestly: human doc pages are hash-routed (no per-page static URLs) — the llms files are the machine path. No three.js MCP exists, official or notable community; coding agents drive the library directly through npm.
  • [probe] https://threejs.org/llms.txtPROBE llms.txt: HTTP 200 at https://threejs.org/llms.txt # Three.js > Three.js is a cross-browser JavaScript library for creating 3D graphics using WebGL and WebGPU. See the f
  • [community] https://hn.algolia.com/api/v1/items/19944990the three.js examples are good (if a little sloppy in coding style). I think the main thing that helps is some kind of previous knowledge about OpenGL.

Download a machine-readable API spec (OpenAPI or equivalent)weight 2

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [probe] https://threejs.org/llms.txtPROBE llms.txt: HTTP 200 at https://threejs.org/llms.txt # Three.js > Three.js is a cross-browser JavaScript library for creating 3D graphics using WebGL and WebGPU. See the f
  • [probe] https://threejs.org/openapi.jsonPROBE openapi: all candidate paths 404 (https://threejs.org/openapi.json, https://threejs.org/swagger.json, https://threejs.org/api/openapi.json, https://threejs.org/.well-known/openapi.json)
  • [probe] https://threejs.org/docs/llms.txtPROBE runtime (recorded 2026-09-15): threejs.org publishes llms.txt at the site root pointing to a docs llms.txt that carries a literal '## Instructions for Large Language Models' section plus a 363 KB llms-full.txt of the complete docs. Caveat recorded honestly: human doc pages are hash-routed (no per-page static URLs) — the llms files are the machine path. No three.js MCP exists, official or notable community; coding agents drive the library directly through npm.

Test against a sandbox environment without touching production dataweight 1

1 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 10 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Rely on versioned APIs with a documented deprecation policyweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

  • [claimed-docs] https://github.com/mrdoob/three.js/wiki[Migration Guide](/mrdoob/three.js/wiki/Migration-Guide)
  • [claimed-docs] https://github.com/mrdoob/three.js/releaseshttps://github.com/mrdoob/three.js/wiki/Migration-Guide#185--186
  • [probe] https://www.npmjs.com/package/threePROBE runtime (recorded 2026-09-15): `npm view three version` → 0.186.0, and the public npm downloads API reports 12,206,532 weekly downloads — an order of magnitude above every other engine in the arena. MIT license verified from the registry.

API quality = 18.0 ÷ 70 × 100 = 25.7

Openness45.0/100×0.20 of the PA blend

Can you leave, inspect, or self-host — data export, open source, portability.

Do everything through the API that I can do in the UIweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Export all of my data in open formats and leaveweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Read the product's source under an open licenseweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [github] https://github.com/mrdoob/three.jsconst renderer = new THREE.WebGLRenderer( { antialias: true } ); renderer.setSize( width, height );
  • [github] https://github.com/mrdoob/three.jsgit clone --depth=1 https://github.com/mrdoob/three.js.git
  • [probe] https://www.npmjs.com/package/threePROBE runtime (recorded 2026-09-15): `npm view three version` → 0.186.0, and the public npm downloads API reports 12,206,532 weekly downloads — an order of magnitude above every other engine in the arena. MIT license verified from the registry.

Self-host the core productweight 3

3 (weight) × 9 (quality) × 1.0 (full) = 27.0 of 30 max

  • [github] https://github.com/mrdoob/three.jsgit clone --depth=1 https://github.com/mrdoob/three.js.git
  • [probe] https://www.npmjs.com/package/threePROBE runtime (recorded 2026-09-15): `npm view three version` → 0.186.0, and the public npm downloads API reports 12,206,532 weekly downloads — an order of magnitude above every other engine in the arena. MIT license verified from the registry.
  • [github] https://github.com/mrdoob/three.jsThe current builds only include WebGL and WebGPU renderers but SVG and CSS3D renderers are also available as addons.

Openness = 45.0 ÷ 100 × 100 = 45.0

Built-in AI4.0/100×0.15 of the PA blend

Inside-out: how agentic the product itself is for its users — built-in assistants, autonomous features.

Get AI-generated insights and suggestions from my data inside the productweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Set up automations that run autonomously in the backgroundweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Delegate tasks to a built-in AI assistant inside the productweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Operate the product with natural-language commandsweight 2

2 (weight) × 3 (quality) × 0.6 (partial) = 3.6 of 20 max

  • [probe] https://threejs.org/docs/llms.txtPROBE runtime (recorded 2026-09-15): threejs.org publishes llms.txt at the site root pointing to a docs llms.txt that carries a literal '## Instructions for Large Language Models' section plus a 363 KB llms-full.txt of the complete docs. Caveat recorded honestly: human doc pages are hash-routed (no per-page static URLs) — the llms files are the machine path. No three.js MCP exists, official or notable community; coding agents drive the library directly through npm.
  • [probe] https://threejs.org/llms.txtPROBE llms.txt: HTTP 200 at https://threejs.org/llms.txt # Three.js > Three.js is a cross-browser JavaScript library for creating 3D graphics using WebGL and WebGPU. See the f
  • [claimed-docs] https://threejs.org/docs/llms.txtTSL benefits: - Works with both WebGL and WebGPU backends - No string manipulation or onBeforeCompile hacks

Built-in AI = 3.6 ÷ 90 × 100 = 4.0

Automation0.0/100×0.15 of the PA blend

Depth of automation primitives — rules, scheduling, bulk operations, webhooks.

Perform bulk operations across many items at onceweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Define rules that trigger actions automatically on eventsweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Schedule recurring jobs or workflowsweight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Version, review, and roll back my automationsweight 1

1 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 10 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Automation = 0.0 ÷ 60 × 100 = 0.0