ATOM00blue/machine-learning-library
Custom APRL machine-learning algorithm + a curated ML knowledge base of 923 papers, lectures, and explainers. NumPy classifier/regressor, tests, benchmarks, provenance, Obsidian, and agent-ready Markdown.
265
Stars
37
Forks
43.9
Radar Score
Rising
Momentum
Scoring Breakdown
Impact40.5
Velocity40.4
Health54.1
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Steady growth — consistently collecting stars and contributors.
RAG · rag frameworkTop 53% globally
Popular Alternatives & Competitors
Top projects in the same category (RAG) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
72%
Moderate Confidence
License
NOASSERTION
Review license terms carefully before commercial adoption.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
43.9
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Issue engagement: 0 open issues for 265 stars (0.0%).
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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