Footer

Your go-to destination for discovering trending open-source projects and uncovering the insights that matter

Legal

  • Terms and conditions
  • Privacy policy

More

  • Pricing
  • Advertise
  • onedump
  • gosnakego
  • Contact us

Social

  • X (Twitter)
  • GitHub
Trendshift owl
What they build speaks louder than words
© 2026 Trendshift, created by Julian Li with ❤️
SignalAdvertise
Trendshift
SignalAdvertise
Sign in
Trendshift owl

Discover trends that matter

SignalAdvertise
DailyWeeklyMonthlyYearly
Live mentionsTopics
RepositoriesDevelopers
InsightsStats
Busbar
Busbar
Bifrost
Bifrost

tudor-22/MetalML

Metal GPU acceleration for scikit-learn on Mac. Drop-in sklearn API (fit, predict, transform) with Metal kernels and MPS for KMeans, Ridge, PCA, SVMs, kNN, Naive Bayes and random forests, plus automatic CPU fallback. pip install metalml

Visit GitHub
Python
8
1 contributors
Apache License 2.0
website
FeaturedAdvertise to 180K+ monthly visitors
Busbar

Control what AI can do before it acts

Bifrost

Fastest Enterprise AI Gateway for Routing, Governing, and Securing all your AI Traffic

Momentum

How fast tudor-22/MetalML is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 22 – Nov 7, 2026

Stars +9 in 47 days

0246
5

Forks +0 in 47 days

01

Merged PRs 1 in 47 days

01
1

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 22Sep 28Oct 4Oct 10Oct 16Oct 22Oct 28Nov 3
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Tue, Sep 22, 2026+0+01
Wed, Sep 23, 2026+0+00
Thu, Sep 24, 2026+0+00
Fri, Sep 25, 2026+0+00
Sat, Sep 26, 2026+0+00
Sun, Sep 27, 2026+0+00
Mon, Sep 28, 2026+0+00
Tue, Sep 29, 2026+0+00
Wed, Sep 30, 2026+0+00
Thu, Oct 1, 2026+0+00
Fri, Oct 2, 2026+0+00
Sat, Oct 3, 2026+0+00
Sun, Oct 4, 2026+1+00
Mon, Oct 5, 2026+0+00
Tue, Oct 6, 2026+0+00
Wed, Oct 7, 2026+0+00
Thu, Oct 8, 2026+1+00
Fri, Oct 9, 2026+0+00
Sat, Oct 10, 2026+0+00
Sun, Oct 11, 2026+0+00
Mon, Oct 12, 2026+0+00
Tue, Oct 13, 2026+0+00
Wed, Oct 14, 2026+0+00
Thu, Oct 15, 2026+0+00
Fri, Oct 16, 2026+0+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+0+00
Tue, Oct 20, 2026+0+00
Wed, Oct 21, 2026+0+00
Thu, Oct 22, 2026+0+00
Fri, Oct 23, 2026+1+00
Sat, Oct 24, 2026+0+00
Sun, Oct 25, 2026+0+00
Mon, Oct 26, 2026+0+00
Tue, Oct 27, 2026+0+00
Wed, Oct 28, 2026+0+00
Thu, Oct 29, 2026+0+00
Fri, Oct 30, 2026+0+00
Sat, Oct 31, 2026+0+00
Sun, Nov 1, 2026+0+00
Mon, Nov 2, 2026+0+00
Tue, Nov 3, 2026+0+00
Wed, Nov 4, 2026+0+00
Thu, Nov 5, 2026+0+00
Fri, Nov 6, 2026+1+00
Sat, Nov 7, 2026+5+00
Total+9+01
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Nov 72 posts

    • Everyone is benchmarking LLMs on Macs right now. But a lot of everyday ML is still KMeans, PCA and Ridge. That's the corner MetalML covers: the scikit-learn API on the Mac GPU via Metal, and it tells…

      Read full on X, posted by @tudoriustin_

      @tudoriustin_ · x.com

    • MetalML is live on Product Hunt today. It runs scikit-learn on your Mac's GPU through Metal: same fit / predict / transform, one import change, and a CPU fallback when the GPU can't handle an op.…

      Read full on X, posted by @tudoriustin_

      @tudoriustin_ · x.com

  2. Nov 61 post

    • Built a thing: MetalML runs scikit-learn on your Mac's GPU via Metal. - import sklearn as ml + import metalml as ml Same fit/predict. Anything the GPU can't handle falls back to sklearn on CPU.…

      Read full on X, posted by @tudoriustin_

      @tudoriustin_ · x.com

  3. 1 month earlier
  4. Sep 232 posts3 posts

    • MetalML: GPU-Accelerated Machine Learning for Apple Silicon

      Read full on Reddit

      r/FunMachineLearning

    • MetalML: GPU-Accelerated Machine Learning for Apple Silicon

      Read full on Reddit

      r/deeplearning

    • MetalML: GPU-Accelerated Machine Learning for Apple Silicon

      Read full on Reddit

      r/learnmachinelearning