RE
sb-ai-lab/RePlay
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
394 38 +0/wk
GitHub
algorithms collaborative-filtering deep-learning distributed-computing evaluation machine-learning matrix-factorization pyspark pytorch recommendation-algorithms recommender-system recsys
Trend
0
Star & Fork Trend (25 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
sb-ai-lab/RePlay has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | RePlay | Generative-Adversarial-Networks-Roadmap | openllmetry-js | RxInfer.jl |
|---|---|---|---|---|
| Stars | 394 | 394 | 394 | 393 |
| Forks | 38 | 52 | 66 | 33 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | TypeScript | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | Apache-2.0 | MIT |
Capability Radar vs Generative-Adversarial-Networks-Roadmap
RePlay
Generative-Adversarial-Networks-Roadmap
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 48
Fork-to-star ratio: 9.6%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.