MindSQL: A Python Text-to-SQL RAG Library simplifying database interactions. Seamlessly integrates with PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery. Powered by GPT-4 and Llama 2, it enables natural language queries. Supports ChromaDB and Faiss for context-aware responses.
active 2024-03-06 → 2026-08-21 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 899 days from 2024-03-06 to 2026-08-21. Pushes: 32 total, peak 15 in a day. Pull requests: 20 total, peak 5 in a day. Issues: 34 total, peak 3 in a day. Comments: 31 total, peak 7 in a day. Stars: 398 total, peak 23 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Sammindinventory | 31 | 9 | 7 | 8 |
| siddhant-mi | 31 | 20 | 5 | 3 |
| ishika-mi | 12 | 3 | 3 | 3 |
| kuazhangxiaoai | 7 | 0 | 0 | 2 |
| guitmonk-1290 | 4 | 0 | 0 | 2 |
| Ka7arotto | 4 | 0 | 0 | 0 |
| LSRAO | 3 | 0 | 0 | 1 |
| CPZCPZ | 3 | 0 | 0 | 3 |
| cyrannano | 3 | 0 | 3 | 0 |
| jdbohrman | 3 | 0 | 0 | 1 |
| krupalshah | 2 | 0 | 0 | 1 |
| satyammind | 2 | 0 | 0 | 2 |
| tnahddisttud | 2 | 0 | 1 | 1 |
| monicazgr1 | 2 | 0 | 0 | 1 |
| dheeruupehwani-lab | 1 | 0 | 0 | 1 |
| asanoviskhak | 1 | 0 | 0 | 0 |
| zainhoda | 1 | 0 | 0 | 1 |
| nirali-picode | 1 | 0 | 0 | 0 |
| ashishmallah2799 | 1 | 0 | 0 | 0 |
| Herz3h | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 398 stars here means stars gained during the window, not the repo's star count.