{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/7"}],"enrichment":{"capability":"Shimmy converts external reinforcement learning environments to Gymnasium and PettingZoo APIs, letting you use popular RL simulators with a unified interface.","skillfed_tags":["reinforcement-learning","environment-adapter","api-wrapper"],"use_cases":["Adapt a legacy Gym-based environment to work with modern Gymnasium code without rewriting your agent","Use multiple third-party RL simulators within a single unified Gymnasium interface","Integrate external multi-agent environments with PettingZoo for centralized agent training","Build RL benchmarks that test agents across diverse environment sources without environment-specific glue code","Migrate existing RL codebases from older APIs to Gymnasium by wrapping environments instead of refactoring"],"what_it_does":"Shimmy is a bridge library that adapts external reinforcement learning environments to work with Gymnasium and PettingZoo, two popular standardized RL APIs. It solves the problem of environment fragmentation: RL researchers and practitioners often need to work with simulators built for different APIs, but want to use them within a modern, consistent framework. Shimmy wraps these external environments, translating their interfaces to match Gymnasium or PettingZoo conventions.\n\nThe package depends on numpy and gymnasium as its core runtime dependencies. It requires Python 3.10 or later and is actively maintained, with support for Python versions through 3.14. The library is designed for researchers, practitioners, and teams building RL agents who need to integrate multiple environment sources without rewriting integration code for each one.","worth_installing":"Yes. Shimmy is actively maintained, has no known vulnerabilities, uses a permissive MIT license, and solves a real fragmentation problem in RL development. Low install friction and support for current Python versions make it a practical choice for anyone integrating multiple RL environments."},"id":"shimmy","links":{"html":"https://skillfed.io/packages/shimmy","md":"https://skillfed.io/packages/shimmy.md","pypi":"https://pypi.org/project/shimmy/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-04-10","license_spdx":null,"license_treatment":"permissive","name":"Shimmy","python_support":"supports_current","summary":"An API conversion tool providing Gymnasium and PettingZoo bindings for popular external reinforcement learning environments."},"popularity":{"monthly_downloads":250994,"position":8603,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.0.1"}