Suraj-G-Rao/Complete-MLOPS
Learned comprehensive MLOps practices covering the complete machine learning lifecycle from development to production deployment and monitoring.
47
Stars
9
Forks
23.9
Radar Score
Stable
Momentum
Scoring Breakdown
Impact17.8
Velocity23.0
Health34.8
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Jupyter Notebook
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🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
23.9
Composite of Impact, Velocity, and Health.
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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