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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better mljar-supervised alternative or higher similarity.
mljar-supervised discussion
mljar-supervised reviews and mentions
Posts with mentions or reviews of mljar-supervised.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-08-27.
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Show HN: Supertree – interactive visualization of decision trees in Python
We would like to keep package sustainable. Earlier, we've created package for AutoML which is MIT license (https://github.com/mljar/mljar-supervised), and it is very hard to monetise it, and you need to have funds to keep package maintained and work on it.
Regarding purchasing, we just don't have time create landing page with buy button :) we will add it soon. The package cost will be 499 USD/yearly. We already have few finance companies interested.
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We need visual programming. No, not like that
I'm working on visual programming for Python. I created an Python editor, that is notebook based (similar to Jupyter) but each cell code in the notebook has graphical user interface. In this GUI you can select your code recipe, a simple code step, for example here is a recipe to list files in the directory https://mljar.com/docs/python-list-files-in-directory/ - you fill the UI and the code is generated. You can execute code cells in the top to bottom manner. In this approach you can click Python code. If you can't find UI with recipe, then you can ask AI assistant (running Llama3 with Ollama) or write custom python code. The app is called MLJAR Studio and it is a desktop based application, so all computations are running on your machine. You can read more on my website https://mljar.com
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Show HN: Web App with GUI for AutoML on Tabular Data
Web App is using two open-source packages that I've created:
- MLJAR AutoML - Python package for AutoML on tabular data https://github.com/mljar/mljar-supervised
- Mercury - framework for converting Jupyter Notebooks into Web App https://github.com/mljar/mercury
You can run Web App locally. What is more, you can adjust notebook's code for your needs. For example, you can set different validation strategies or evalutaion metrics or longer training times. The notebooks in the repo are good starting point for you to develop more advanced apps.
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Fairness in machine learning
It's an Automated Machine Learning python package. It's open-source, you can see how it works on GitHub: https://github.com/mljar/mljar-supervised
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[P] Build data web apps in Jupyter Notebook with Python only
Sure, at the bottom of our website you can subscribe for newsletter.
- Show HN: AutoML Python Package for Tabular Data with Automatic Documentation
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library / framework to test multiple sklearn regression models at once
If you need a simple and fast solution, go with auto-sklearn Maybe a bit more complex, but very powerful was mljar-supervised
- Python AutoML on Tabular Data with FeatureEng, HP Tuning, Explanations, AutoDoc
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Data Science and full-stack-web development
In my case, I had experience in DS and software engineering. It gives me ability to start a company that works on Data Science tools.
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A note from our sponsor - Judoscale
judoscale.com | 25 Apr 2025
Stats
Basic mljar-supervised repo stats
53
3,145
7.6
12 days ago
mljar/mljar-supervised is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of mljar-supervised is Python.
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