MW
GokuMohandas/Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications.
47.2k 7.4k +23/wk
GitHub
data-engineering data-quality data-science deep-learning distributed-ml distributed-training llms machine-learning mlops natural-language-processing python pytorch
Trend
3
Star & Fork Trend (25 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
GokuMohandas/Made-With-ML has +23 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Made-With-ML | AI-For-Beginners | claude-mem | crewAI |
|---|---|---|---|---|
| Stars | 47.2k | 46.5k | 46.3k | 48.3k |
| Forks | 7.4k | 9.5k | 3.6k | 6.6k |
| Weekly Growth | +23 | +3 | +226 | +71 |
| Language | Jupyter Notebook | Jupyter Notebook | TypeScript | Python |
| Sources | 1 | 2 | 1 | 2 |
| License | MIT | MIT | NOASSERTION | MIT |
Capability Radar vs AI-For-Beginners
Made-With-ML
AI-For-Beginners
Maintenance Activity 84
Last code push 35 days ago.
Community Engagement 79
Fork-to-star ratio: 15.7%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 43
+23 stars this period — 0.05% growth rate.
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.