AI · alternatives · 2026

24 alternatives to MakeML

Train Neural Networks without a line of code

MakeML is a macOS application that enables iOS developers to train neural networks for object detection and style transfer without coding or data science expertise. The app eliminates the need for Python knowledge… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. MakeML launched in 2019; newer entries below may have overtaken it.

1. 1
   StackML▲252

   Machine Learning platform in-browser, for creators

   2019 · its alternatives →

2. 2
   Igel – A CLI tool to run machine learning without writing code▲405

   a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel

   2020 · github.com · its alternatives →

3. 3
   Obviously AI AutoML▲276

   The fastest, most precise no-code AI in the world.

   2020 · obviously.ai · its alternatives →

4. 4
   Apple MLX▲138

   An array framework for machine learning on Apple silicon

   2023 · pypi.org · its alternatives →

5. 5
   Machine learning automation from creating to using models in production▲72

   a delightful machine learning tool that allows you to train, test, and use models without writing code - GitHub - nidhaloff/igel at v0.4.0

   2021 · github.com · its alternatives →

6. 6
   Pocket AutoML▲84

   Experiment with a deep learning model right on your device

   2021 · play.google.com · its alternatives →

7. 7
   Compile ML models into dependency-free source code for easy deployment▲37

   I'm a machine learning engineer who always found it annoying to integrate ML models into phone apps, smartwatch apps, microcontroller firmware etc... Why do we need all these libraries and runtimes with all the overhead, compatibility issues and other headaches, when it's just some math to be executed? So I made a compiler that simply converts the model into plain source code with no dependencies, and it actually solved all my deployment problems. Now I'm curious if it can help anyone else too. Through the link you can submit your model file (Keras h5, onnx soon to be supported), and I'll…

   2023 · waveworks.dk · its alternatives →

8. 8
   Gradio 5.0▲224

   connect nodes to build AI pipelines, powered by Hugging Face

   2024 · gradio.app · its alternatives →

9. 9
   ScoopML▲81

   An AI assistant for machine learning engineers

   2020 · its alternatives →

10. 10
    ZenML▲84

    Create reproducible machine learning pipelines

    2020 · github.com · its alternatives →

11. 11
    CLI for working with Apple Core ML models▲48

    A native command-line interface for working with Apple Core ML models on macOS - schappim/coreml-cli

    Jan 2026 · github.com · its alternatives →

12. 12
    TensorPort▲143

    Help teams apply machine learning to real-world applications

    2017 · its alternatives →

13. 13
    Cortex – machine learning infrastructure for developers▲86

    Production infrastructure for machine learning at scale - cortexlabs/cortex

    2019 · github.com · its alternatives →

14. 14
    Web App with GUI for AutoML on Tabular Data▲41

    AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally! - mljar/automl-app

    2023 · github.com · its alternatives →

15. 15
    Google CLOUD AUTOML▲93

    Train custom ML models with minimum effort and expertise

    2018 · cloud.google.com · its alternatives →

16. 16
    IBM Watson for CoreML▲124

    Apple's direct AI integration for iOS apps

    2018 · developer.apple.com · its alternatives →

17. 17
    MagicaL Core▲94

    Train, test, and export your own image classifier, on iPad

    2025 · apps.apple.com · its alternatives →

18. 18QB
    Quickly build a production ready image classifier from your images▲142

    2018 · blog.machinebox.io · its alternatives →

19. 19
    DeepLobe▲94

    Your no-code machine learning platform

    2021 · deeplobe.ai · its alternatives →

20. 20
    Layered – Neural Networks in Python 3▲56

    Clean implementation of feed forward neural networks - danijar/layered

    2015 · github.com · its alternatives →

21. 21
    I built a deep learning engine from scratch in Python▲30

    I’ve spent the last few months building a deep learning engine completely from scratch in Python (using only math and random). What started as a basic linear algebra calculator project grew into a symbolic tensor system with autodiff, custom matrix ops, attention mechanisms, LayerNorm, GELU, and even a text generation demo trained on the Brown corpus. I'm still an undergrad, so my main goal is to deeply understand how deep learning actually works under the hood - gradients, attention, backpropagation, optimizers - by building it step-by-step with full visibility into everything, and without…

    2025 · github.com · its alternatives →

22. 22
    Deep Learning Platform (DLP)▲106

    Software for DL application development without coding.

    2018 · ai-dlp.com · its alternatives →

23. 23PO
    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 · its alternatives →

24. 24
    A completely handwritten deep neural network in python▲13

    A handwritten multilayer perceptron classifer using numpy. - meetvora/mlp-classifier

    2016 · github.com · its alternatives →

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 →