flyingriverhorse/Skyulf
Build ML pipelines you can trust — visually on a canvas or in Python. Self-hosted platform + Apache-2.0 library. Catches data leakage, keeps scores honest, and takes you from raw data to monitored model.
47
Stars
7
Forks
35.8
Radar Score
Rising
Momentum
Scoring Breakdown
Impact16.9
Velocity42.8
Health56.0
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Jupyter Notebook
Why it ranks
Steady growth — consistently collecting stars and contributors.
AI Infrastructure · model servingTop 71% globally
Popular Alternatives & Competitors
Top projects in the same category (AI Infrastructure) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
AGPL-3.0
Review license terms carefully before commercial adoption.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
35.8
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.
Share & Embed
Display live Radar metrics in your documentation, website, or social profiles.