facebookresearch/BenchMARL

BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.

598 119 +0/wk

GitHub

benchmark machine-learning marl multi-agent multi-agent-reinforcement-learning pytorch reinforcement-learning rl robotics torch

Trend 3

Star & Fork Trend (23 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 598

forks 119

Growth Velocity

facebookresearch/BenchMARL has +0 stars this period . 7-day velocity: 0.2%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	BenchMARL	ChatPilot	sktime-dl	venice
Stars	598	598	598	598
Forks	119	59	76	115
Weekly Growth	+0	+0	+0	+0
Language	Python	Svelte	Python	Java
Sources	1	1	1	1
License	MIT	Apache-2.0	BSD-3-Clause	BSD-2-Clause

Capability Radar vs ChatPilot

BenchMARL

ChatPilot

Maintenance Activity 69

Last code push 60 days ago.

Community Engagement 99

Fork-to-star ratio: 19.9%. 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.