REPOGEO REPORT · LITE
mintisan/awesome-kan
Default branch main · commit 8fdcc678 · scanned 6/25/2026, 10:32:55 AM
GitHub: 3,247 stars · 310 forks
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.
3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 mintisan/awesome-kan, 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 to improve categorization
Why:
COPY-PASTE FIXawesome-list, kolmogorov-arnold-network, kan, machine-learning, deep-learning, neural-networks, resources, papers, tutorials, research
- highlicense#2Add a LICENSE file to the repository
Why:
COPY-PASTE FIXCreate a LICENSE file (e.g., MIT, Apache-2.0, or GPL-3.0) in the repository root. For example, for MIT: "MIT License\n\nCopyright (c) [YEAR] [COPYRIGHT HOLDER]\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE."
- mediumreadme#3Reinforce 'awesome list' and 'Kolmogorov-Arnold Network' in the README's opening sentence
Why:
CURRENTA curated list of awesome libraries, projects, tutorials, papers, and other resources related to Kolmogorov-Arnold Network (KAN). This repository aims to be a comprehensive and organized collection that will help researchers and developers in the world of KAN!
COPY-PASTE FIXThis is an awesome list: a comprehensive and curated collection of libraries, projects, tutorials, papers, and other resources specifically related to Kolmogorov-Arnold Network (KAN). It aims to be a central hub for researchers and developers in the Kolmogorov-Arnold Network field.
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.
- PyTorch · recommended 1×
- ZimingLiu/pytorch-kan · recommended 1×
- Hugging Face · recommended 1×
- JAX · recommended 1×
- YouTube · recommended 1×
- CATEGORY QUERYWhere can I find comprehensive resources and tutorials for Kolmogorov-Arnold Networks?you: not recommendedAI recommended (in order):
- PyTorch
- pytorch-kan (ZimingLiu/pytorch-kan)
- Hugging Face
- JAX
- YouTube
- StatQuest with Josh Starmer
- Two Minute Papers
- Code Emporium
- Medium
- Towards Data Science
AI recommended 10 alternatives but never named mintisan/awesome-kan. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for libraries, projects, and papers related to Kolmogorov-Arnold Network implementations.you: not recommendedAI recommended (in order):
- PyTorch-KAN (ZiyaoLi/pytorch-kan)
- KAN (KindXiaoming/KAN)
- jax-kan (KindXiaoming/jax-kan)
- tf-kan (KindXiaoming/tf-kan)
- KAN-Numpy (KindXiaoming/KAN-Numpy)
AI recommended 5 alternatives but never named mintisan/awesome-kan. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenessfail
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 mintisan/awesome-kan?passAI did not name mintisan/awesome-kan — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts mintisan/awesome-kan in production, what risks or prerequisites should they evaluate first?passAI named mintisan/awesome-kan 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 mintisan/awesome-kan solve, and who is the primary audience?passAI did not name mintisan/awesome-kan — likely talking about a different project
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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[](https://repogeo.com/en/r/mintisan/awesome-kan)<a href="https://repogeo.com/en/r/mintisan/awesome-kan"><img src="https://repogeo.com/badge/mintisan/awesome-kan.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
mintisan/awesome-kan — 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