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Dev tools · alternatives · 2026

24 alternatives to ML5.js

Friendly machine learning for the web

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. ML5.js launched in 2018; newer entries below may have overtaken it.

  1. 1

    Open-source machine learning library by Google

    2017 · tensorflow.org · its alternatives →

  2. 2

    Machine learning for mobile developers

    2018 · developers.google.com · its alternatives →

  3. 3

    ML Console is a free tool to build an AI model without writing a single line of code. Simply pick a column to predict, and let us handle the rest.

    2021 · mlconsole.com · its alternatives →

  4. 4
    StackML▲252

    Machine Learning platform in-browser, for creators

    2019 · its alternatives →

  5. 5
    MindsDB▲235

    In-database machine learning

    2022 · its alternatives →

  6. 6

    Breathtaking visuals for learning ML techniques.

    2017 · ml-playground.com · its alternatives →

  7. 7
    p5.js▲202

    JS library for creating graphic and interactive experiences

    2015 · p5js.org · its alternatives →

  8. 8

    Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js - GitHub - tensorspace-team/tensorspace: Neural network 3D visualization framework, build interactive and intuitive model in br

    2018 · github.com · its alternatives →

  9. 9

    Machine learning made easy for developers of any skill level

    2015 · aws.amazon.com · its alternatives →

  10. 10

    2020 · dafriedman97.github.io · its alternatives →

  11. 11

    My Machine Learning Web Service. Contribute to pplonski/my_ml_service development by creating an account on GitHub.

    2020 · github.com · its alternatives →

  12. 12

    6 applied Deep Learning projects written in JavaScript

    2023 · craft.do · its alternatives →

  13. 13
    MakeML▲274

    Train Neural Networks without a line of code

    2019 · makeml.app · its alternatives →

  14. 14CR

    The goal of Carton is to let you use a single interface to run any machine learning model from any programming language. It’s currently difficult to integrate models that use different technologies (e.g. TensorRT, Ludwig, TorchScript, JAX, GGML, etc) into your application, especially if you’re not using Python. Even if you learn the details of integrating each of these frameworks, running multiple frameworks in one process can cause hard-to-debug crashes. Ideally, the ML framework a model was developed in should just be an implementation detail. Carton lets you decouple your application from…

    2023 · carton.run · its alternatives →

  15. 15
    GoLearn▲81

    Machine Learning for Go. Contribute to sjwhitworth/golearn development by creating an account on GitHub.

    2014 · github.com · its alternatives →

  16. 16

    connect nodes to build AI pipelines, powered by Hugging Face

    2024 · gradio.app · its alternatives →

  17. 17
    Apple MLX▲138

    An array framework for machine learning on Apple silicon

    2023 · pypi.org · its alternatives →

  18. 18

    Machine Learning library for Rust. Contribute to AtheMathmo/rusty-machine development by creating an account on GitHub.

    2016 · github.com · its alternatives →

  19. 19

    AI4Animation in javascript & three.js. Contribute to sneha-belkhale/AI4Animation-js development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  20. 20

    Open-source machine learning library by Google

    2018 · tensorflow.org · its alternatives →

  21. 21

    Accelerate your machine learning experimentation

    2020 · docs.voxel51.com · its alternatives →

  22. 22IT

    Experiments in expressing statistical thinking with interactive design

    2015 · r2d3.us · its alternatives →

  23. 23HP
  24. 24

    Help teams apply machine learning to real-world applications

    2017 · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →