MA
sjtu-marl/malib
A parallel framework for population-based multi-agent reinforcement learning.
551 65 +0/wk
GitHub
distributed games multiagent parallel python ray reinforcement-learning
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0
Star & Fork Trend (24 data points)
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sjtu-marl/malib has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | malib | Deep-RL-Keras | awesome-time-series-segmentation-papers | gpt-travel-advisor |
|---|---|---|---|---|
| Stars | 551 | 551 | 551 | 551 |
| Forks | 65 | 146 | 15 | 115 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | MATLAB | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | GPL-3.0 | N/A |
Capability Radar vs Deep-RL-Keras
malib
Deep-RL-Keras
Maintenance Activity 0
Last code push 847 days ago.
Community Engagement 59
Fork-to-star ratio: 11.8%. Active community forking and contributing.
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.