# ml-explore/mlx

> 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.

- Magnitude: 1.5 out of 10 — Steady
- Stars: 29,043 total · +0 stars measured 2026-11-04, 00:24–01:53 UTC, ≈ 8 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: C++ · License: MIT · Created: 2023-11-28 · Last push: 2026-11-03
- GitHub: https://github.com/ml-explore/mlx · Homepage: https://ml-explore.github.io/mlx/ · Page: https://gitnova.dev/en/r/ml-explore/mlx

## 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

## Why it’s here

- Star-counter measurements on 2026-11-04 (UTC), 00:24–01:53: 29043 → 29043 stars (+0). This is the change over that interval.
- Estimated end-of-day forecast: about +8 stars, using observed gains and the previous day.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 2,401
- Issues and pull requests: 4,526
- Watchers: 206
- Average over the last week: 13 per day
- Usual pace: 15 per day
- Stars in the last hour (measured): 0
- Latest release: v0.32.4 (2026-10-14)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-10-06 … 2026-11-04: 11, 12, 17, 9, 11, 11, 17, 22, 16, 25, 16, 11, 8, 13, 13, 20, 15, 16, 20, 19, 11, 11, 7, 10, 10, 14, 21, 19, 10, 0

## Magnitude by day, last 14 days

10-10 2.0, 10-11 1.9, 10-24 2.1, 10-25 2.7, 10-26 2.2, 10-27 2.0, 10-28 1.9, 10-29 1.6, 10-30 1.6, 10-31 1.6, 11-01 1.9, 11-02 2.1, 11-03 1.8, 11-04 1.5

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-11-04 01:58 UTC, updated every 30 minutes.