REPOGEO REPORT · LITE
patrick-kidger/diffrax
Default branch main · commit 9094d039 · scanned 5/16/2026, 9:56:51 AM
GitHub: 2,008 stars · 180 forks
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/diffrax, 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.
- hightopics#1Add specific topics for stochastic differential equations
Why:
CURRENTdeep-learning, differential-equations, dynamical-systems, equinox, jax, machine-learning, neural-differential-equations, neural-networks
COPY-PASTE FIXdeep-learning, differential-equations, dynamical-systems, equinox, jax, machine-learning, neural-differential-equations, neural-networks, stochastic-differential-equations, sde-solvers
- mediumreadme#2Expand README's introductory paragraph to highlight SDEs and performance
Why:
CURRENTDiffrax is a JAX-based library providing numerical differential equation solvers.
COPY-PASTE FIXDiffrax is a high-performance JAX-based library for numerical solutions to a wide range of differential equations, including ordinary (ODEs), stochastic (SDEs), and controlled (CDEs) differential equations. It is fully autodifferentiable and GPU-capable, designed for scientific computing and machine learning applications.
- mediumhomepage#3Add homepage URL to repository About section
Why:
COPY-PASTE FIXhttps://docs.kidger.site/diffrax/
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.
- google/jax-odes · recommended 1×
- rtqichen/torchdiffeq · recommended 1×
- DiffEqFlux.jl · recommended 1×
- SciML ecosystem · recommended 1×
- DifferentialEquations.jl · recommended 1×
- CATEGORY QUERYWhat are the best JAX-compatible libraries for solving differentiable ordinary differential equations?you: #1AI recommended (in order):
- Diffrax (google/diffrax) ← you
- JAX-ODEs (google/jax-odes)
- TorchDiffEq (rtqichen/torchdiffeq)
Show full AI answer
- CATEGORY QUERYTool for high-performance numerical solutions of stochastic differential equations with GPU support?you: #5AI recommended (in order):
- DiffEqFlux.jl
- SciML ecosystem
- DifferentialEquations.jl
- JAX
- diffrax ← you
- TensorFlow Probability
- PyTorch
- torchsde
- CUDA C++
- cuRAND
- cuBLAS
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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/diffrax?passAI named patrick-kidger/diffrax 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/diffrax in production, what risks or prerequisites should they evaluate first?passAI named patrick-kidger/diffrax 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/diffrax solve, and who is the primary audience?passAI named patrick-kidger/diffrax explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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patrick-kidger/diffrax — 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