CL
vwxyzjn/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
9.5k 1.0k +3/wk
GitHub
a2c actor-critic advantage-actor-critic ale atari deep-learning deep-reinforcement-learning gym machine-learning phasic-policy-gradient ppo proximal-policy-optimization
Trend
3
Star & Fork Trend (40 data points)
Stars
Forks
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Growth Velocity
vwxyzjn/cleanrl has +3 stars this period . 7-day velocity: 0.2%.
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| Metric | cleanrl | models | cutlass | einops |
|---|---|---|---|---|
| Stars | 9.5k | 9.5k | 9.5k | 9.5k |
| Forks | 1.0k | 1.6k | 1.8k | 397 |
| Weekly Growth | +3 | -2 | +5 | +1 |
| Language | Python | Jupyter Notebook | C++ | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | Apache-2.0 | NOASSERTION | MIT |
Capability Radar vs models
cleanrl
models
Maintenance Activity 0
Last code push 274 days ago.
Community Engagement 55
Fork-to-star ratio: 11.0%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 42
+3 stars this period — 0.03% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.