MLX
Apple's open-source array framework for machine learning on Apple Silicon, with a NumPy-like API and unified memory.
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Homebrew analytics installs: 9,181 installs (2026) to 11,516 installs (2026)
Imported from Homebrew analytics, last reading Oct 2026
About MLX
MLX is an array framework designed for machine learning workloads on Apple Silicon hardware. It provides developers with a programming interface similar to NumPy, making it accessible to those familiar with standard numerical computing libraries. The framework features unified memory, which allows for efficient data handling across the processor and GPU on Apple devices. This design enables developers to build and run machine learning models with better performance characteristics on Apple's hardware architecture.
MLX is developed by ml-explore and released under the MIT license. The framework is written in C++ and provided as open-source software, allowing developers to examine, modify and distribute the code according to the MIT license terms. It serves as a tool for machine learning development specifically optimized for Apple Silicon systems.
Checked 2 November 2026.
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