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LightAutoML

lightautoml.readthedocs.io

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Spec score 7.6 #16 of 30 in AutoML Software

What it is

LightAutoML is an open-source Python library for automated machine learning on tabular and text data. It supports binary and multiclass classification and regression, using ready-made tabular, text and WhiteBox presets or modular custom 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. Its basic tutorial says the library can handle missing values and outliers automatically. Optional installation extras cover NLP, computer vision and reports, and a tutorial demonstrates a SQL data source. Installation is through PyPI with `pip install lightautoml`; the project is licensed under Apache License, Version 2.0. The maker describes it as a way for data scientists and analysts to reduce routine data preparation and model selection work. The current package handles datasets with independent samples in each row; multitable datasets and sequences remain in progress.

Spec sheet

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

Plans and prices

LightAutoML Free Open-source Python library · installable from PyPI · Apache License 2.0 Read 29 Sep 2026 · github.com

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Strong points and limits

Strong points

  • Supports classification and regression tasks.
  • Provides ready-made and custom pipeline options.
  • Includes multiple documented model classes.
  • Can handle missing values and outliers automatically.
  • Open source under Apache License 2.0.

Limits

  • Current package expects independent samples in each row.
  • Multitable datasets remain a work in progress.
  • Sequence support remains a work in progress.
  • No free trial is listed.

Who it suits

LightAutoML suits data scientists and analysts working with tabular or text data who want automated pipeline creation. It is a Python library rather than a packaged end-user application.

Verdict

LightAutoML offers automation across data preparation, model selection and reporting for supported dataset types. Check its row-based data scope if your work depends on multitable or sequence data.

Where Specifiction places it

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