RRepoGEO

REPOGEO REPORT · LITE

tum-pbs/PhiFlow

Default branch master · commit 7569231f · scanned 7/1/2026, 9:06:55 AM

GitHub: 1,897 stars · 231 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
54 /100
Needs work
Category recall
1 / 2
Avg rank #6.0 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 tum-pbs/PhiFlow, 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
  • highreadme#1
    Reposition README opening statement to emphasize differentiable PDE solving

    Why:

    CURRENT
    ΦFlow is an open-source simulation toolkit built for optimization and machine learning applications.
    COPY-PASTE FIX
    ΦFlow is an open-source, differentiable PDE solving framework for machine learning, designed for optimization and scientific machine learning applications.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://tum-pbs.github.io/PhiFlow/
  • lowreadme#3
    Improve example links in the README to include descriptive text

    Why:

    CURRENT
    <td><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Fluid_Logo.html"></a></td>
            <td align="center">Fluid logo</td>
    COPY-PASTE FIX
    <td><a href="https://tum-pbs.github.io/PhiFlow/examples/grids/Fluid_Logo.html">Fluid logo</a></td>

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
1 / 2
50% of queries surface tum-pbs/PhiFlow
Avg rank
#6.0
Lower is better. #1 = top recommendation.
Share of voice
8%
Of all named tools, what % are you?
Top rival
DiffTaichi
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DiffTaichi · recommended 2×
  2. JAX · recommended 2×
  3. PyTorch3D · recommended 1×
  4. dm_control · recommended 1×
  5. dm_robotics · recommended 1×
  • CATEGORY QUERY
    What Python libraries enable differentiable physics simulations for deep learning models?
    you: not recommended
    AI recommended (in order):
    1. DiffTaichi
    2. JAX
    3. PyTorch3D
    4. dm_control
    5. dm_robotics
    6. Warp

    AI recommended 6 alternatives but never named tum-pbs/PhiFlow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I integrate fluid dynamics simulations with automatic differentiation in a machine learning pipeline?
    you: #6
    AI recommended (in order):
    1. JAX
    2. JAX-MD
    3. PyTorch
    4. TensorFlow
    5. DiffTaichi
    6. PhiFlow ← you
    7. Modulus
    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 tum-pbs/PhiFlow?
    pass
    AI named tum-pbs/PhiFlow explicitly

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

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

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

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tum-pbs/PhiFlow — 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