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AI · January 5, 2021

Mljar Automated Machine Learning for Tabular Data (Explanation,AutoDoc)

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised

Mljar Automated Machine Learning for Tabular Data (Explanation,AutoDoc) launched on January 5, 2021 with 33 votes, #912 of 3,157 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 5 years on.

Visit github.com ↗Alternatives

In plain words

Mljar is an automated machine learning platform designed for tabular data analysis. It automatically builds and compares multiple machine learning models, handling data preprocessing, feature engineering, and model selection without requiring manual configuration. The tool generates explanations for model predictions and automatically creates documentation. It's intended for data scientists and analysts who need to quickly develop and validate machine learning solutions for structured data. The platform emphasizes interpretability alongside automation.

written from the facts on this page · September 2026

Does a similar job

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    Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised

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

  • Automated Machine Learning designed to save time for a data scientist2020 · github.com · ▲5

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  • Mljar-Supervised: AutoML Package with Explanations and Markdown Reports2020 · github.com · ▲5

    Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised

  • Mljar Studio – local AI data analyst that saves analysis as notebooksMay 2026 · mljar.com · ▲73

    Hi HN, I’ve been working on mljar-supervised (open-source AutoML for tabular data) for a few years. Recently I built a desktop app around it called MLJAR Studio. The idea is simple: you talk to your data in natural language, the AI generates Python code, executes it locally, and the whole conversation becomes a reproducible notebook (*.ipynb file). So instead of just chatting with data, you end up with something you can inspect, modify, and rerun. What MLJAR Studio does: - Sets up a local Python environment automatically, runs on Mac, Windows, and Linux - Installs missing packages during the…

  • SapientML – Generative AutoML for Tabular Data2023 · github.com · ▲82

    Generative AutoML for Tabular Data. Contribute to sapientml/sapientml development by creating an account on GitHub.

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