EA
SafeAILab/EAGLE
Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).
2.3k 268 +1/wk
GitHub
large-language-models llm-inference speculative-decoding
Trend
3
Star & Fork Trend (21 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
SafeAILab/EAGLE has +1 stars this period . 7-day velocity: 0.4%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | EAGLE | Information-Extraction-Chinese | Awesome-GraphRAG | Introduction-NLP |
|---|---|---|---|---|
| Stars | 2.3k | 2.3k | 2.3k | 2.3k |
| Forks | 268 | 802 | 193 | 546 |
| Weekly Growth | +1 | +1 | +2 | +0 |
| Language | Python | Python | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | N/A | MIT | Apache-2.0 |
Capability Radar vs Information-Extraction-Chinese
EAGLE
Information-Extraction-Chinese
Maintenance Activity 76
Last code push 48 days ago.
Community Engagement 59
Fork-to-star ratio: 11.8%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 43
+1 stars this period — 0.04% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.