ml-explore/mlx

MLX: An array framework for Apple silicon

Language modelsC++#mlx

2.1 Steady Magnitude out of 10. Star growth looks organic. Data as of September 19, 2026.

About the project

MLX is an array and machine learning framework from Apple, optimized for Apple silicon with unified memory and lazy computation. Its Python, C++, C, and Swift APIs mirror NumPy and PyTorch, simplifying model training and deployment.

Useful for

Train a transformer language model on a Mac with Apple silicon
Finetune LLaMA with LoRA on a custom dataset
Run Whisper speech recognition or Stable Diffusion image generation locally

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

Why it’s trending

3 stars so far today, about 10 expected by the end of the day.
GitHub Trending C++ today: #6, +18 stars.
Recent forks include notable developers: @heckj (687 followers).

Stars per day

Bars are daily stars, the line is the usual pace. Red marks spike days.

Numbers

Total stars: 28,476
Stars in a day: 10
Forks: 2,262
Issues and pull requests: 4,241
Watchers: 207
Language: C++
License: MIT
Latest release: v0.32.2 · August 25, 2026
Created: November 28, 2023
Last push: September 17, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Spotted in

September 19, 2026GitHub Trending C++ today: #6, +18 stars

README badge

Paste it into your README — the badge shows the current magnitude and links to this page.

[![Seismograph](https://gitnova.dev/badge/ml-explore/mlx.svg?lang=en)](https://gitnova.dev/en/r/ml-explore/mlx)

Similar projects

7.7
TheoLeeCJ/SemIf
An open reproduction of the Jev-style semantic decision interface: reads typed option probabilities directly from a 4B model's logits without generating text. Runs on a single RTX 3090.

BreakoutLanguage modelsPython+245 stars in a day
7.4
TianyuCodings/NanoJev
A nano replica of Jev built on Qwen3-0.6B that outputs probability distributions over candidates in a single forward pass with no token decoding, plus a training pipeline and game demos (maze, Snake).

Early signalLanguage modelsPython+336 stars in a day
6.4
Continuum-AI-Corp/OrcaBonsai-27B-Uncensored
A tool for runtime refusal ablation in the compressed Ternary Bonsai 2 27B LLM: it projects the residual stream to remove the refusal direction without modifying or re-quantizing weights. Runs on Apple Silicon via MLX.

Early signalLanguage modelsPython+142 stars in a day
6.1
jaredpalmer/kev
kev is a LoRA adapter with a small readout head on top of Qwen2.5-0.5B that answers many typed questions about a document in a single forward pass, returning calibrated probabilities instead of text.

Early signalLanguage modelsPython+147 stars in a day
6.0
githubnext/localjev
A local TypeScript/Bun HTTP service implementing a Jev-compatible POST /v1/systemone API on top of an OpenAI-compatible Chat Completions endpoint (DiffusionGemma via oMLX). It acts as a bridge for typed decisions…

Early signalLanguage modelsTypeScript+253 stars in a day
6.0
higgsfield-ai/higgsfield
Fault-tolerant GPU orchestration and ML framework for distributed training of models with billions to trillions of parameters, including LLMs. Manages node access, experiment queueing, and GitHub Actions integration.

BreakoutLanguage modelsJupyter Notebook+113 stars in a day