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LightAutoML

B
B tier on AutoML SoftwareScore 7.1 · #2 of 28
Android app
Not listed
Free plan
Yes
Runs on
Linux, Mac, self-hosted, Web, Windows
lightautoml.readthedocs.io
The LightAutoML homepage
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Summary

LightAutoML is an open-source Python library for automated machine learning on tabular and text data. It supports binary and multiclass classification, as well as regression, through ready-made tabular, text, and WhiteBox presets or custom modular pipelines. Pipeline creation can automate data processing and typing, feature selection, hyperparameter tuning, time utilization, and report creation. Documented model classes include linear models, LightGBM and CatBoost boosted trees, neural networks, and a WhiteBox scorecard model. The basic tutorial says it can handle missing values and outliers automatically. Optional installation extras cover NLP, computer vision, and reports, while a tutorial demonstrates a SQL data source. The library is installable from PyPI with `pip install lightautoml` and is licensed under Apache License, Version 2.0. It is intended to help data scientists and analysts reduce routine data preparation and model selection work. The current package handles datasets with independent samples in each row; support for multitable datasets and sequences is a work in progress.

Who it is for

LightAutoML suits data scientists and analysts working with tabular or text data who want to automate parts of model and pipeline creation. Its current dataset support is limited to independent samples in each row.

What is good

  • Supports classification and regression tasks.
  • Offers ready-made presets and custom pipelines.
  • Can automatically handle missing values and outliers.
  • Open source under Apache License, Version 2.0.

What to know first

  • Multitable datasets are still a work in progress.
  • Sequence dataset support is still a work in progress.
  • No security or compliance claims are provided.

Verdict

LightAutoML offers automated pipelines and multiple model types for tabular and text machine learning. Its current data handling is limited to independent samples in each row, so multitable and sequence datasets are not yet supported.

LightAutoML plans and pricing

All plans
LightAutoML Free Open-source Python library · installable from PyPI · Apache License 2.0 github.com · 29 Sept 2026

Compared on AutoML software

Feature engineering
Yeslightautoml.readthedocs.io
Automated model selection
Yeslightautoml.readthedocs.io
Model explainability
Yeslightautoml.readthedocs.io
Workflow interface
bothlightautoml.readthedocs.io
Hosting model
bothlightautoml.readthedocs.io

Facts

Purpose
LightAutoML is an open-source Python library for automated machine learning on tabular and text data.lightautoml.readthedocs.io · 29 Sept 2026
Automation
Its pipeline creation supports automatic hyperparameter tuning, data processing, typing, feature selection, time utilization, and report creation.lightautoml.readthedocs.io · 29 Sept 2026
Tasks
The project README lists binary classification, multiclass classification, and regression as supported model creation tasks.github.com · 29 Sept 2026
Pipeline options
The documentation describes ready-made tabular, text, and WhiteBox presets, plus modular custom pipeline creation.lightautoml.readthedocs.io · 29 Sept 2026
Models
Documented model classes include linear models, LightGBM and CatBoost boosted trees, neural networks, and a WhiteBox scorecard model.lightautoml.readthedocs.io · 29 Sept 2026
Data handling
The basic tutorial says LightAutoML can handle missing values and outliers automatically.lightautoml.readthedocs.io · 29 Sept 2026
Integrations
The project offers optional installation extras for NLP, computer vision, and reports, and its tutorial demonstrates a SQL data source.github.com · 29 Sept 2026
Installation
The documentation says to install LightAutoML from PyPI with `pip install lightautoml`.lightautoml.readthedocs.io · 29 Sept 2026
License
The repository states that the project is licensed under Apache License, Version 2.0.github.com · 29 Sept 2026
Support
The repository directs users to its Slack community or Telegram group for advice and GitHub issues for bug reports and feature requests.github.com · 29 Sept 2026
Dataset limits
The repository says the current package handles datasets with independent samples in each row, while multitable datasets and sequences are a work in progress.github.com · 29 Sept 2026
Security
The opened project documentation and repository pages provide no security or compliance claims.github.com · 29 Sept 2026
Intended users
The maker describes LightAutoML as a framework created by Sber AI Lab to help data scientists and analysts reduce routine data preparation and model selection work.developers.sber.ru · 29 Sept 2026

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