{"data":{"full_name":"proroklab/VectorizedMultiAgentSimulator","name":"VectorizedMultiAgentSimulator","description":"VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.","stars":531.0,"forks":104.0,"language":"Python","license":"GPL-3.0","archived":0.0,"subcategory":"game-playing-agents","last_pushed_at":"2026-02-08T15:10:05+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":0.0,"reverse_dep_count":0.0,"maintenance_score":10.0,"adoption_score":10.0,"maturity_score":16.0,"community_score":24.0,"quality_score":60.0,"quality_tier":"established","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-06T18:49:12.371835+00:00"}}