GokuMohandas/Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications.
50.0k
Stars
7.8k
Forks
64.7
Radar Score
Rising
Momentum
Scoring Breakdown
Impact98.7
Velocity47.8
Health33.9
Growth Metrics
7-Day Stars
+73
30-Day Stars
+266
Acceleration
1.14x
Language
Jupyter Notebook
Why it ranks
Steady growth — consistently collecting stars and contributors.
Popular Alternatives & Competitors
Top projects in the same category (AI Infrastructure) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
72%
Moderate 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
64.7
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Issue engagement: 18 open issues for 49,998 stars (0.0%).
- Maintenance cadence: Last push 252 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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