JayZhang42/FederatedGPT-Shepherd
Shepherd: A foundational framework enabling federated instruction tuning for large language models
251
Stars
42
Forks
37.8
Radar Score
Stable
Momentum
Scoring Breakdown
Impact49.1
Velocity27.0
Health35.0
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Modest but positive momentum.
Top 65% globally
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
81%
High Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
37.8
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Maintenance cadence: Last push 1223 days ago.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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