MLX
Apple's array framework for machine learning on Apple Silicon
D
Score: 47/100
Type
Execution
jit
Interface
sdk
About
MLX is an array framework for machine learning research on Apple Silicon, designed by Apple. It offers a NumPy-like API, lazy computation, and unified memory that allows arrays to live in shared memory for CPU and GPU operations without data copies.
Performance
500ms
Cold Start
200MB
Base Memory
100ms
Startup Overhead
✓ Last Verified
Date: Jan 18, 2026
Method: manual test
Manually verified
Languages
PythonC++Swift
Details
- Isolation
- process
- Maturity
- stable
- License
- MIT