REPOGEO REPORT · LITE
EwingYangs/awesome-open-gpt
Default branch main · commit a843e44f · scanned 6/29/2026, 12:12:04 PM
GitHub: 6,024 stars · 546 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.
2 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 EwingYangs/awesome-open-gpt, 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.
- highabout#1Clarify 'awesome list' nature in the About description
Why:
CURRENTCollection of Open Source Projects Related to GPT,GPT相关开源项目合集🚀、精选🔥🔥
COPY-PASTE FIXA comprehensive, curated awesome list of open-source GPT projects, tools, and alternatives. GPT相关开源项目合集🚀、精选🔥🔥
- highlicense#2Add a standard open-source LICENSE file
Why:
COPY-PASTE FIXCreate a LICENSE file in the repository root, for example, using the MIT License template.
- mediumhomepage#3Add a Homepage URL to the repository metadata
Why:
COPY-PASTE FIXSet the repository's homepage URL to `https://github.com/EwingYangs/awesome-open-gpt` (or a dedicated project site if one exists).
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.
- Hugging Face Transformers · recommended 2×
- Llama.cpp · recommended 1×
- LangChain · recommended 1×
- Ollama · recommended 1×
- MLflow · recommended 1×
- CATEGORY QUERYWhere can I find open-source alternatives and tools for building with large language models?you: not recommendedAI recommended (in order):
- Hugging Face Transformers
- Llama.cpp
- LangChain
- Ollama
- MLflow
- FastChat
- vLLM
AI recommended 7 alternatives but never named EwingYangs/awesome-open-gpt. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking a comprehensive collection of open-source projects for various generative AI applications.you: not recommendedAI recommended (in order):
- Hugging Face Transformers
- Stable Diffusion
AI recommended 2 alternatives but never named EwingYangs/awesome-open-gpt. 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 EwingYangs/awesome-open-gpt?passAI did not name EwingYangs/awesome-open-gpt — 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 EwingYangs/awesome-open-gpt in production, what risks or prerequisites should they evaluate first?passAI named EwingYangs/awesome-open-gpt 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 EwingYangs/awesome-open-gpt solve, and who is the primary audience?passAI did not name EwingYangs/awesome-open-gpt — 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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EwingYangs/awesome-open-gpt — 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