RamiKrispin/pydata-ny-ga-workshop
Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference
84
Stars
5
Forks
35.6
Radar Score
Stable
Momentum
Scoring Breakdown
Impact21.1
Velocity34.5
Health60.5
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
HTML
Why it ranks
Modest but positive momentum.
Top 71% globally
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Unlicensed / Custom
Review license terms carefully before commercial adoption.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
35.6
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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