AI · alternatives · 2026
24 alternatives to Machine learning automation from creating to using models in production
a delightful machine learning tool that allows you to train, test, and use models without writing code - GitHub - nidhaloff/igel at v0.4.0
This software automates the machine learning workflow from model development through production deployment. It is designed for data scientists and ML engineers who need to streamline the process of building, training… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Machine learning automation from creating to using models in production launched in 2021; newer entries below may have overtaken it.
- 1
a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
2020 · github.com · its alternatives →
- 2
The fastest, most precise no-code AI in the world.
2020 · obviously.ai · its alternatives →
- 3
- 4
a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
2020 · github.com · its alternatives →
- 5
- 6
- 7
- 8
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 →
- 9
Build AI models and get predictions, no code required
2023 · mentana.ai · its alternatives →
- 10
AutoFlow Studio▲477Ship faster and test smarter with simplified AI-powered QA
2024 · its alternatives →
- 11
- 12
Comet.ml▲208Automatically track machine learning code and experiments
2018 · comet.com · its alternatives →
- 13
- 14
- 15
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised
2022 · github.com · its alternatives →
- 16
Bring DevOps practices to your projects for automatic, reproducible, and fast machine learning.
2020 · cml.dev · its alternatives →
- 17
Make machine learning work for you, not the other way around
2022 · amazonasweb.ro · its alternatives →
- 18
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io. - zenml-io/zenml
2020 · github.com · its alternatives →
- 19
- 20
- 21
Hey HN! We’re Vaibhav and Marcello. We’re building Plexe (https://github.com/plexe-ai/plexe), an open-source agent that turns natural language task descriptions into trained ML models. Here’s a video walkthrough: https://www.youtube.com/watch?v=bUwCSglhcXY. There are all kinds of uses for ML models that never get realized because the process of making them is messy and convoluted. You can spend months trying to find the data, clean it, experiment with models and deploy to production, only to find out that your project has been binned for taking so long.…
2025 · github.com · its alternatives →
- 22
Deploy a ML inference service on a budget in less than 10 lines of code. - ebhy/budgetml
2021 · github.com · its alternatives →
- 23
Pretrained AI▲144Integrate pretrained machine learning models in minutes.
2021 · pretrained.ai · its alternatives →
- 24
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 →
Also compare
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 →