AI · alternatives · 2026

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. What would be an ideal developer stack for a Machine Learning engineer? launched in 2020; newer entries below may have overtaken it.

1. 1
   Amazon Machine Learning ▲211

   Machine learning made easy for developers of any skill level

   2015 · aws.amazon.com · its alternatives →

2. 2
   Nanonets▲135

   Turn machine learning into an API call

   2017 · nanonets.com · its alternatives →

3. 3
   Paperspace for Machine Learning▲152

   A Linux desktop in the cloud built for Machine Learning

   2016 · its alternatives →

4. 4
   Stack▲88

   A task manager for Devs & Designers

   2015 · macropod.com · its alternatives →

5. 5
   ML Kit (by Google)▲195

   Machine learning for mobile developers

   2018 · developers.google.com · its alternatives →

6. 6
   TensorPort▲143

   Help teams apply machine learning to real-world applications

   2017 · its alternatives →

7. 7
   BigML▲64

   Machine learning as a service - build predictive apps

   2014 · bigml.com · its alternatives →

8. 8
   Harness Managerfree▲83

   Your AI coding stack manager, all in one place

   29d ago · harnessmanager.devmesh.xyz · its alternatives →

9. 9
   Cortex▲81

   Deploy, manage, and scale machine learning applications

   2019 · its alternatives →

10. 10
    TWiML Talk #2 - Siraj Raval - How to Build Confidence as an ML Developer▲54

    How to approach a machine learning/AI project

    2016 · soundcloud.com · its alternatives →

11. 11
    Machine Box▲94

    Run, deploy & scale state of the art machine learning tech

    2017 · machinebox.io · its alternatives →

12. 12HP
    High-performance ahead-of-time compiler for Machine Learning▲83

    2018 · scss.tcd.ie · its alternatives →

13. 13
    Essential Cheat Sheets for Machine Learning and Deep Learning Engineers▲14

    Essential Cheat Sheets for Machine Learning Engineers

    2017 · its alternatives →

14. 14
    DVC Studio▲95

    Machine Learning Experiments based on Git

    2021 · studio.datachain.ai · its alternatives →

15. 15
    Stackness▲92

    Show your stack! The social home for your dev tools

    Sep 2026 · stackness.dev · its alternatives →

16. 16
    Cortex▲15

    The easiest way to build machine learning apps

    2020 · github.com · its alternatives →

17. 17
    Python Machine Learning▲80

    Learning machine learning has never been easier

    2017 · amazon.com · its alternatives →

18. 18TG
    The Great Tool for Full Stack Developer▲8

    2016 · nodeontrain.xyz · its alternatives →

19. 19
    Build Machine Learning Web-Service with Python and Django▲67

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

    2020 · github.com · its alternatives →

20. 20
    Dockerized GPU Deep Learning Solution (Code and Blog and TensorFlow Demo)▲80

    An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack

    2016 · github.com · its alternatives →

21. 21
    Software Engineering Daily — Machine Learning for Businesses with Joshua Bloom▲63

    Joshua Bloom, CTO of Wise.io dives into machine learning

    2016 · softwareengineeringdaily.com · its alternatives →

22. 22
    Elemeno AI-Ops▲67

    Make machine learning work for you, not the other way around

    2022 · amazonasweb.ro · its alternatives →

23. 23DT
    DIY tool for customized Machine Learning – absolute zero coding▲7

    2017 · matelabs.in · its alternatives →

24. 24
    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 →

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 →