Alternatives

Products that do what Apple MLX does

An array framework for machine learning on Apple silicon

1
ML Kit (by Google)▲195
Machine learning for mobile developers
2018
2
TensorPort▲143
Help teams apply machine learning to real-world applications
2017
3
MakeML▲274
Train Neural Networks without a line of code
2019
4
MindsDB▲235
In-database machine learning
2022
5
StackML▲252
Machine Learning platform in-browser, for creators
2019
6
Swift AI▲243
A.I. and machine learning library written in Swift
2016
7
ML5.js▲249
Friendly machine learning for the web
2018
8
Apple MGIE▲177
AI image tool that lets you make edits by describing them
2024
9
Ferret▲193
Refer and ground anything anywhere at any granularity
2024
10
Apple Core ML▲196
Integrate a broad variety of ML model types into your app
2017
11ZE
ZenML, extensible open-source MLOps framework for reproducible ML▲37
2020 · github.com
12SF
Smart Fruit – A Python schema-based machine learning library▲44
I've made a small Python library, designed for quick-and-easy prototyping of machine learning models. It's built on top of scikit-learn, to serialize and deserialize data from the forms you're likely to have, to the format used in scikit-learn. https://github.com/madman-bob/Smart-Fruit It's pretty bare-bones at the moment, but I thought I'd see if there was any interest before spending too much time on it. Let me know what you think.
2018
13
ML Annotator▲79
Annotate machine learning data sets and output to models
2022
14
Azure - Machine Learning▲81
Powerful cloud-based predictive analytics, ML as a Service
2014
15
Foundation Models framework▲176
Build with Apple's on-device AI, now open to developers
2025
16
Paperspace for Machine Learning▲152
A Linux desktop in the cloud built for Machine Learning
2016
17
Vector▲117
Intelligent search for macOS
Dec 2025
18
DeepLobe▲94
Your no-code machine learning platform
2021
19
UnionML▲77
The easiest way to build and deploy ML microservices
2022
20
BigML▲64
Machine learning as a service - build predictive apps
2014
21
Lionbridge AI Annotation Platform▲78
All-in-one data annotation platform for machine learning
2019
22PO
PlaidML, open source deep learning for any GPU▲52
Our company Vertex.AI has been working on this for a while but this is the first public release. We're starting with using PlaidML to bring OpenCL support to Keras and more frameworks, platforms, etc are coming. Yes, this means you can use use your AMD GPU for deep learning dev. Sorry, no Mac or Windows support yet although the brave can try building from source (it should work). http://vertex.ai/blog/announcing-plaidml https://github.com/plaidml/plaidml
2017
23
ML Showcase▲214
A curated collection of machine learning projects
2017
24
Spell▲212
Deep Learning and AI accessible to everyone
2019

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