REPOGEO REPORT · LITE
PaddlePaddle/PaddleHelix
Default branch dev · commit 8e3991ab · scanned 5/28/2026, 2:06:52 AM
GitHub: 1,114 stars · 227 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 PaddlePaddle/PaddleHelix, 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.
- highreadme#1Reposition the README's opening to clearly state its purpose as a bio-computing platform
Why:
CURRENTThe current README starts with language selection and 'Latest News'.
COPY-PASTE FIXAdd the following text immediately after the language selection links: "PaddleHelix is a comprehensive bio-computing platform leveraging large-scale representation learning and multi-task deep learning to accelerate research and development in drug discovery, protein structure prediction, and other life sciences applications."
- mediumhomepage#2Add a dedicated project homepage URL to the repository's 'About' section
Why:
COPY-PASTE FIXhttps://paddlehelix.baidu.com/
- lowlicense#3Clarify the specific terms of the existing license in the README
Why:
COPY-PASTE FIXAdd a section in the README, perhaps under a 'License' heading or in an 'About' section: "PaddleHelix is released under a custom license, primarily for non-commercial academic research as noted for HelixFold3. Please refer to the LICENSE file for full details regarding usage and distribution."
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.
- AlphaFold2 · recommended 1×
- RoseTTAFold · recommended 1×
- ESMFold · recommended 1×
- OmegaFold · recommended 1×
- AlphaFold-Multimer · recommended 1×
- CATEGORY QUERYWhat are the best deep learning tools for accurate protein structure prediction?you: not recommendedAI recommended (in order):
- AlphaFold2
- RoseTTAFold
- ESMFold
- OmegaFold
- AlphaFold-Multimer
- trRosetta
AI recommended 6 alternatives but never named PaddlePaddle/PaddleHelix. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for a biocomputing platform for large-scale molecule design and drug discovery research.you: not recommendedAI recommended (in order):
- Schrödinger (Maestro)
- Dassault Systèmes BIOVIA (Discovery Studio/Pipeline Pilot)
- OpenEye Scientific Software (Orion/FRED/OMEGA)
- KNIME
- RDKit (rdkit/rdkit)
- ChemAxon (MarvinSketch/JChem/Instant JChem)
- GROMACS (gromacs/gromacs)
- AMBER (ambermd/amber)
- NAMD (NAMD/NAMD)
- VMD
- PyMOL (schrodinger/pymol)
AI recommended 11 alternatives but never named PaddlePaddle/PaddleHelix. This is the gap to close.
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 PaddlePaddle/PaddleHelix?passAI named PaddlePaddle/PaddleHelix explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts PaddlePaddle/PaddleHelix in production, what risks or prerequisites should they evaluate first?passAI named PaddlePaddle/PaddleHelix 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 PaddlePaddle/PaddleHelix solve, and who is the primary audience?passAI named PaddlePaddle/PaddleHelix explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
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PaddlePaddle/PaddleHelix — 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