SoftwareFramework

MLX

Project record

Maintained by Apple (machine learning research)1 2

MLX is an array framework for machine learning on Apple silicon from Apple machine learning research. It has a NumPy-like Python API plus C++, C, and Swift APIs, composable function transformations, lazy computation, and a unified memory model that shares arrays between the CPU and GPU.1

Repository: GitHub repository (external site: github.com)
Documentation: Documentation (external site: ml-explore.github.io)
License: License (MIT) (external site: github.com)
Release notes: Releases (external site: github.com)

Last reviewedSep 29, 2026Entry updated Sep 29, 2026Documented release 2023

Availability and license

Overall availability

Public

Documented as available to the general public. Access conditions and license terms may still apply.1 2

Availability is separate from permission: read the license before using or redistributing.

MIT License (external site: github.com)2
Applies to: Code · SPDX MIT · on the rubric’s OSI-approved list

Public materials checklist

Items for a framework under USASI rubric v0.1. Unknown means unassessed or insufficient evidence.

Public materials checklist for MLX
Item	Status	Notes and evidence
Source codeIs the source code publicly readable?	Public	Developed in the public ml-explore/mlx GitHub repository.1
DocumentationIs user documentation published?	Public	Documentation covers installation, usage guides, examples, and the Python and C++ API references.3
InstallationAre installation instructions or packages publicly available?	Public	Published on PyPI and installable with pip, with instructions for building from source.1
Supported platformsAre supported operating systems or hardware documented?	Public	The README documents pip packages for macOS, a CUDA backend on Linux, and a CPU-only Linux package.1
Release statusAre versioned releases published?	Public	Versioned releases are published on GitHub, including v0.32.3 on September 29, 2026.4 3

What it is useful for

Training and running machine learning models on Apple silicon, including language model inference and fine-tuning examples published in a companion examples repository.1 3

Organization context

Apple

U.S. eligibility

Project eligibility rests on documented governing or maintaining entities, not on contributors.

Eligible · basis: U.S.-governed project

The README says MLX is from Apple machine learning research, and the MIT license names Apple Inc. as copyright holder. Apple Inc. has its principal executive offices in Cupertino, California, per its Form 10-K.1 2 5

Assessed Sep 29, 2026

Sources

1.
ml-explore/mlx README (external site: github.com)
Apple (GitHub) · Repository · accessed Sep 29, 2026
2.
ml-explore/mlx LICENSE (external site: github.com)
Apple (GitHub) · License · accessed Sep 29, 2026
3.
MLX — MLX 0.32.3 documentation (external site: ml-explore.github.io)
Apple (ml-explore) · Documentation · accessed Sep 29, 2026
4.
ml-explore/mlx release v0.32.3 (external site: github.com)
Apple (GitHub) · Release notes · published Sep 29, 2026 · accessed Sep 29, 2026
5.
Apple Inc. Form 10-K for the fiscal year ended September 27, 2025 (external site: sec.gov)
Apple Inc. (U.S. SEC filing) · Filing · published Oct 31, 2025 · accessed Sep 29, 2026

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