Python · Apache-2.0
urchade/GLiNER
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
★ 4.2k
Stars
326 forks · 54 open issues
+4.9/day
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
39.8
Momentum / 100
see the breakdown below
2y ago
Created
last push 7d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 14.7 | +4.9/day, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.91× the monthly pace |
| Freshness | 15 | 14.6 | last push 7d ago; decays to zero at 180 days |
| Scale | 15 | 10.5 | 4.2k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 39.8 | sum of the above |
Detail
| Topics | information-extractionlarge-language-modelsnamed-entity-recognitionnatural-language-processingprompt-tuning |
| Matched on | LLM & Inference (large-language-models) |
| Short window | +34 stars over 7 days = 4.9/day |
| Long window | +139 stars over 26 days = 5.3/day |
| Lifetime average | 3.88 stars/day over 1,087 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |