GL
urchade/GLiNER
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
3.0k 260 +9/wk
GitHub
information-extraction large-language-models named-entity-recognition natural-language-processing prompt-tuning
Trend
3
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
urchade/GLiNER has +9 stars this period . 7-day velocity: 0.3%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | GLiNER | Awesome-Context-Engineering | Linly | prompttools |
|---|---|---|---|---|
| Stars | 3.0k | 3.0k | 3.1k | 3.0k |
| Forks | 260 | 208 | 229 | 255 |
| Weekly Growth | +9 | +2 | +0 | -1 |
| Language | Python | N/A | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | N/A | Apache-2.0 |
Capability Radar vs Awesome-Context-Engineering
GLiNER
Awesome-Context-Engineering
Maintenance Activity 99
Last code push 9 days ago.
Community Engagement 43
Fork-to-star ratio: 8.5%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 58
+9 stars this period — 0.30% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.