The Lale homepage
Score5.8
Rank#16 of 28
Free planNo
Runs onAPI, Linux, macOS, Windows

Summary

Lale is ranked #16 of 28 in AutoML software on Everything Xiaomi. 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

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Sources