Python · MIT
eosphoros-ai/DB-GPT-Hub
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
★ 2k
Stars
249 forks · 73 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
9.6
Momentum / 100
see the breakdown below
3y ago
Created
last push 16mo ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 0.0 | flat, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | needs 7-day and 30-day rates side by side |
| Freshness | 15 | 0.0 | last push 16mo ago; decays to zero at 180 days |
| Scale | 15 | 9.6 | 2k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 9.6 | sum of the above |
Detail
| Topics | databasedatasetsfine-tuninggpthacktoberfestllmnl2sqlsqltext-to-sqltext2sql |
| Matched on | LLM & Inference (fine-tuning) |
| Short window | +0 stars over 7 days = 0.0/day |
| Long window | +3 stars over 26 days = 0.1/day |
| Lifetime average | 1.61 stars/day over 1,252 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |