AI Open Source Radar Methodology
How AI Open Source Radar collects public sources, verifies evidence, controls bilingual editorial quality, and maintains citable public snapshots.
Sources
Project facts come from public GitHub repositories, README files, releases, and directly verified evidence.
Language policy
Chinese and English are independent editorial editions. English content is not translated from Chinese at request time.
Quality gates
Only editions bound to the current public snapshot and passing evidence, content, and language checks are published.
Rankings and time
Rankings use dated public snapshots and represent only the stated observation period.
Citation guidance
Citations should retain the project page URL, review or source-update date, and original GitHub source.
Browse project types
- AI Agent (286)
- Audio & Speech (35)
- AI Coding (110)
- Data Processing (74)
- Document Processing (23)
- Evaluation & Observability (29)
- Image & Vision (30)
- Infrastructure (100)
- Learning Resources (93)
- Local Models / Ollama (42)
- MCP (120)
- Model Development (40)
- Model Runtime (96)
- Model Serving (74)
- Prompt Engineering (102)
- RAG (92)
- AI Search (17)
- Vector Database (9)
- Video (29)
- Workflow (119)
Frequently asked questions
Is the Radar an official GitHub ranking?
No. It is an independent editorial directory; rankings reflect only the stated snapshot and selection policy.
Can project findings be cited?
Yes, when the verified detail URL, date, and listed original sources are retained.
How do the Chinese and English editions relate?
They share the same facts and evidence base but are edited and published independently; stale translations are not presented as current editions.