Overview
Description
MLX lets you build and run machine learning models on Apple silicon with minimal code changes. It offers familiar NumPy-like APIs, unified memory across CPU and GPU, and supports training and deploying models efficiently on Mac hardware.
Technical scorecard
License
MIT
Commercial use
Yes
OpenAI-compatible API
No
REST API
No
Fine-tuning support
No
Quantization support
No
Docker available
No
GUI / no-code available
No
Telemetry
Unknown
Offline after setup
No
Data & Privacy
Does it send data online?
This listing is not marked offline after setup.
Does it store history?
Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.
License checks?
Commercial use is marked as allowed or likely allowed by the listed license.
Telemetry?
Unknown
Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.
Deploying MLX in production?
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Request Privacy and Telemetry AuditSetup & Installation
A developer can usually get this running with standard docs.
# Start with the official project repository
# https://github.com/ml-explore/mlxHardware Requirements
Works Well With