RRepoGEO

REPOGEO REPORT · LITE

pyro-ppl/numpyro

Default branch master · commit 8d1511ef · scanned 5/14/2026, 7:46:57 PM

GitHub: 2,677 stars · 286 forks

AI VISIBILITY SCORE
91 /100
Healthy
Category recall
2 / 2
Avg rank #1.5 when recommended
Rule findings
2 pass · 0 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 pyro-ppl/numpyro, 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
  • mediumreadme#1
    Refine README H1 to highlight NumPy API

    Why:

    CURRENT
    # NumPyro Probabilistic programming powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
    COPY-PASTE FIX
    # NumPyro: Probabilistic Programming with NumPy API, powered by JAX for Autograd and JIT Compilation
  • mediumreadme#2
    Enhance 'What is NumPyro?' section with unique value proposition

    Why:

    CURRENT
    NumPyro is a lightweight probabilistic programming library that provides a NumPy backend for Pyro. We rely on JAX for automatic differentiation and JIT compilation to GPU / CPU.
    COPY-PASTE FIX
    NumPyro is a lightweight probabilistic programming library that provides a NumPy backend for Pyro. We rely on JAX for automatic differentiation and JIT compilation to GPU / CPU. This unique combination offers a familiar NumPy-like API for building Bayesian models with the performance benefits of JAX, distinguishing it from other probabilistic programming libraries.
  • lowreadme#3
    Add a section or link for comparison with other libraries

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example: `## NumPyro vs. Other Libraries` with content like: "NumPyro offers a unique blend of a NumPy-like API with JAX's performance, distinguishing it from PyTorch-based Pyro and other libraries like PyMC and BlackJAX. For a detailed comparison, please refer to our documentation."

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 pyro-ppl/numpyro
Avg rank
#1.5
Lower is better. #1 = top recommendation.
Share of voice
20%
Of all named tools, what % are you?
Top rival
BlackJAX
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. BlackJAX · recommended 2×
  2. PyMC · recommended 2×
  3. TensorFlow Probability (TFP) · recommended 2×
  4. Stax · recommended 1×
  5. Pyro · recommended 1×
  • CATEGORY QUERY
    How to perform scalable Bayesian inference using JAX for accelerated computation?
    you: #2
    AI recommended (in order):
    1. BlackJAX
    2. NumPyro ← you
    3. PyMC
    4. TensorFlow Probability (TFP)
    5. Stax
    Show full AI answer
  • CATEGORY QUERY
    Seeking a probabilistic programming library with NumPy API and JIT compilation.
    you: #1
    AI recommended (in order):
    1. NumPyro ← you
    2. PyMC
    3. BlackJAX
    4. TensorFlow Probability (TFP)
    5. Pyro
    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 pyro-ppl/numpyro?
    pass
    AI named pyro-ppl/numpyro explicitly

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

  • If a team adopts pyro-ppl/numpyro in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pyro-ppl/numpyro 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 pyro-ppl/numpyro solve, and who is the primary audience?
    pass
    AI named pyro-ppl/numpyro explicitly

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

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