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
Trend
0
Star & Fork Trend (23 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
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 | awesome-time-series-segmentation-papers | gpt-travel-advisor | Deep-RL-Keras |
|---|---|---|---|---|
| Stars | 551 | 551 | 551 | 551 |
| Forks | 65 | 15 | 115 | 146 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | MATLAB | TypeScript | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | GPL-3.0 | N/A | N/A |
Capability Radar vs awesome-time-series-segmentation-papers
malib
awesome-time-series-segmentation-papers
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.