RRepoGEO

REPOGEO REPORT · LITE

patrick-kidger/equinox

Default branch main · commit a49cc119 · scanned 5/23/2026, 10:41:51 AM

GitHub: 2,886 stars · 197 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
86 /100
Healthy
Category recall
2 / 2
Avg rank #1.5 when recommended
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface patrick-kidger/equinox, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highhomepage#1
    Add homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://docs.kidger.site/equinox/
  • mediumreadme#2
    Refine 'not a framework' statement in README

    Why:

    CURRENT
    and best of all, Equinox isn't a framework: everything you write in Equinox is compatible with anything else in JAX or the ecosystem.
    COPY-PASTE FIX
    and best of all, Equinox is designed for maximum compatibility: it's not a rigid framework, meaning everything you write in Equinox works seamlessly with anything else in JAX or its broader ecosystem.
  • lowreadme#3
    Broaden README introduction to highlight scientific computing

    Why:

    CURRENT
    Equinox is your one-stop JAX library, for everything you need that isn't already in core JAX: - neural networks (or more generally any model), with easy-to-use PyTorch-like syntax;
    COPY-PASTE FIX
    Equinox is your one-stop JAX library for building and managing models, from neural networks with PyTorch-like syntax to general scientific computing models, offering everything you need that isn't already in core JAX.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
2 / 2
100% of queries surface patrick-kidger/equinox
Avg rank
#1.5
Lower is better. #1 = top recommendation.
Share of voice
17%
Of all named tools, what % are you?
Top rival
Flax
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Flax · recommended 1×
  2. Haiku · recommended 1×
  3. JAX/Stax · recommended 1×
  4. Elegy · recommended 1×
  5. Trax · recommended 1×
  • CATEGORY QUERY
    How can I build neural networks in JAX using a PyTorch-like API?
    you: #1
    AI recommended (in order):
    1. Equinox ← you
    2. Flax
    3. Haiku
    4. JAX/Stax
    5. Elegy
    6. Trax
    Show full AI answer
  • CATEGORY QUERY
    What JAX library provides advanced PyTree manipulation for scientific computing models?
    you: #2
    AI recommended (in order):
    1. jax.tree_util
    2. equinox (patrick-kidger/equinox) ← you
    3. flax.linen
    4. optax
    5. jaxtyping (google/jaxtyping)
    6. treex (cgarciae/treex)
    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of patrick-kidger/equinox?
    pass
    AI named patrick-kidger/equinox explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts patrick-kidger/equinox in production, what risks or prerequisites should they evaluate first?
    pass
    AI named patrick-kidger/equinox explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo patrick-kidger/equinox solve, and who is the primary audience?
    pass
    AI named patrick-kidger/equinox explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of patrick-kidger/equinox. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/patrick-kidger/equinox.svg)](https://repogeo.com/en/r/patrick-kidger/equinox)
HTML
<a href="https://repogeo.com/en/r/patrick-kidger/equinox"><img src="https://repogeo.com/badge/patrick-kidger/equinox.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

patrick-kidger/equinox — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite