REPOGEO REPORT · LITE
OpenMathLib/OpenBLAS
Default branch develop · commit 1bd74ad3 · scanned 5/27/2026, 2:41:24 PM
GitHub: 7,440 stars · 1,678 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 OpenMathLib/OpenBLAS, 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#1Expand repository topics to include broader application areas
Why:
CURRENTblas, lapack, lapacke
COPY-PASTE FIXblas, lapack, lapacke, numerical-computation, matrix-operations, high-performance-computing, scientific-computing, data-science, machine-learning
- mediumreadme#2Add a concise, benefit-oriented opening sentence to the README
Why:
CURRENT## Introduction OpenBLAS is an optimized BLAS (Basic Linear Algebra Subprograms) library based on GotoBLAS2 1.13 BSD version.
COPY-PASTE FIX## Introduction OpenBLAS is a high-performance, open-source library that significantly accelerates numerical computations and matrix operations, making it essential for scientific computing, data analysis, and machine learning applications. It provides highly optimized BLAS and LAPACK implementations based on GotoBLAS2 1.13 BSD version.
- lowreadme#3Relocate CI badges to a dedicated section in the README
Why:
COPY-PASTE FIXMove all CI badges currently at the top of the README into a new '## Build Status' or '## Continuous Integration' section placed after the main '## Introduction'.
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.
- Intel MKL (Math Kernel Library) · recommended 1×
- AMD ROCm ecosystem · recommended 1×
- rocBLAS · recommended 1×
- rocSOLVER · recommended 1×
- NVIDIA cuBLAS · recommended 1×
- CATEGORY QUERYWhat are the best optimized linear algebra libraries for high-performance computing?you: #2AI recommended (in order):
- Intel MKL (Math Kernel Library)
- OpenBLAS ← you
- AMD ROCm ecosystem
- rocBLAS
- rocSOLVER
- NVIDIA cuBLAS
- cuSOLVER
- BLIS (Basic Linear Algebra Subprograms)
- Eigen
Show full AI answer
- CATEGORY QUERYHow can I accelerate numerical computations and matrix operations in my application?you: not recommendedAI recommended (in order):
- NumPy
- SciPy
- Intel MKL
- CuPy
- JAX
- PyTorch
- TensorFlow
- Numba
AI recommended 8 alternatives but never named OpenMathLib/OpenBLAS. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- 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 OpenMathLib/OpenBLAS?passAI named OpenMathLib/OpenBLAS explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts OpenMathLib/OpenBLAS in production, what risks or prerequisites should they evaluate first?passAI named OpenMathLib/OpenBLAS 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 OpenMathLib/OpenBLAS solve, and who is the primary audience?passAI named OpenMathLib/OpenBLAS 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 OpenMathLib/OpenBLAS. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
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OpenMathLib/OpenBLAS — 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