Lale

Summary

Lale is ranked #10 of 23 in AutoML software on Samsung Mobile US Press. It runs on API, Linux, macOS, Windows.

Compared on AutoML software

Free plan

Yeslale.readthedocs.io

Automated model selection

Yeslale.readthedocs.io

Workflow interface

codelale.readthedocs.io

Hosting model

self_hostedlale.readthedocs.io

Facts

What it does

Lale is a Python library for semi-automated data science that helps select algorithms and tune pipeline hyperparameters.github.com · 4 Oct 2026

Automation

It provides a consistent interface to pipeline search tools including Hyperopt, GridSearchCV, and SMAC.github.com · 4 Oct 2026

Correctness checks

Lale uses JSON Schema to catch mismatches between hyperparameters and their types, or between data and operators.github.com · 4 Oct 2026

Interoperability

It includes operators from libraries such as scikit-learn, XGBoost, and PyTorch.github.com · 4 Oct 2026

Install and use

Lale installs as a Python package and can be used with tools such as Jupyter notebooks.github.com · 4 Oct 2026

Operating systems

The installation guide says Lale can be used on Linux, Windows 10, or Mac OS X.github.com · 4 Oct 2026

Modalities and tasks

The FAQ says Lale has been used for text, images, time series, and multimodal data, and for regression as well as classification.github.com · 4 Oct 2026

Deep learning

Lale includes some deep-learning operators, but the FAQ says it does not currently support full-fledged neural architecture search.github.com · 4 Oct 2026

Custom operators

Operators following scikit-learn fit/predict or fit/transform conventions can be wrapped for use with some Lale features.github.com · 4 Oct 2026

IBM product relationship

Lale is free, open source, Apache-licensed, and does not require commercial IBM products; IBM's AutoAI SDK uses it.github.com · 4 Oct 2026

Release status

The repository describes Lale as being in an Alpha release and says it comes without warranties.github.com · 4 Oct 2026

Performance focus

The FAQ says computational performance has received some attention but has not been a major focus.github.com · 4 Oct 2026

Purpose

Lale is a Python library for semi-automated data science that helps select algorithms and tune pipeline hyperparameters in a type-safe way.github.com · 5 Oct 2026

Integrations

Its operator libraries include support based on scikit-learn, AI Fairness 360, category_encoders, imbalanced-learn, LightGBM, Snap ML, and XGBoost.lale.readthedocs.io · 5 Oct 2026

Installation

Lale can be installed from PyPI with pip install lale, and the documentation describes Core and Full setup targets.github.com · 5 Oct 2026

Requirements

The installation documentation specifies Python 3.7 or later and lists Linux, Windows 10, and Mac OS X as supported operating systems.github.com · 5 Oct 2026

Data types

The FAQ says Lale has been used with tables, text, images, time series, and multimodal data.github.com · 5 Oct 2026

Tasks

The FAQ says Lale is used for classification and regression, and users can define custom scoring metrics for automation tools.github.com · 5 Oct 2026

Deep learning limit

Lale includes several deep-learning operators but does not currently support full-fledged neural architecture search.github.com · 5 Oct 2026

Compatibility

Some Lale features can work with algorithms that follow scikit-learn fit/predict or fit/transform conventions by wrapping them as Lale operators.github.com · 5 Oct 2026

License and maturity

The project README says Lale is distributed under Apache 2.0 and is in an Alpha release without warranties.github.com · 5 Oct 2026

Use with IBM services

Lale is used by IBM's AutoAI SDK, but the FAQ says Lale does not require that SDK to run.github.com · 5 Oct 2026

Where it ranks on Samsung Mobile US Press

• Best AutoML Software in 2026#10 of 23

Sources

• github.com/IBM/lale· checked 4 Oct 2026
• github.com/IBM/lale/blob/master/docs/installation.· checked 4 Oct 2026
• github.com/IBM/lale/blob/master/docs/faq.rst· checked 4 Oct 2026
• lale.readthedocs.io/en/latest/· checked 5 Oct 2026