WO
SuperCowPowers/workbench
Workbench: An easy to use Python API for creating and deploying AWS SageMaker Models
50 5 +0/wk
GitHub
aws big-data data-engineering machine-learning pandas python spark
Trend
0
Star & Fork Trend (15 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
SuperCowPowers/workbench has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | workbench | Reinforcement-Learning-Sutton-Barto-Exercise-Solutions | ctxvault | mentisdb |
|---|---|---|---|---|
| Stars | 50 | 50 | 50 | 50 |
| Forks | 5 | 7 | 6 | 5 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Julia | Python | Rust |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Unlicense | MIT | MIT |
Capability Radar vs Reinforcement-Learning-Sutton-Barto-Exercise-Solutions
workbench
Reinforcement-Learning-Sutton-Barto-Exercise-Solutions
Maintenance Activity 100
Last code push 0 days ago.
Community Engagement 50
Fork-to-star ratio: 10.0%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
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.