{"library":"mlx","type":"library","category":null,"description":"MLX is an open-source machine learning framework optimized for Apple silicon, providing a familiar NumPy-like API for array operations and a PyTorch-like API for neural networks. It leverages Apple's Metal Performance Shaders (MPS) for high-performance computation. The library is under active and rapid development, with frequent patch and minor releases, currently at version 0.31.1.","language":"python","status":"active","version":"0.31.1","tags":["machine-learning","apple-silicon","metal","gpu","deep-learning","array-programming"],"install":[{"cmd":"pip install mlx","imports":["import mlx.core as mx"]}],"homepage":"https://mlx.beeware.org/","github":"https://github.com/ml-explore/mlx","docs":null,"changelog":null,"pypi":"https://pypi.org/project/mlx/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":1.8,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/mlx/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}