Open-source AutoML Libraries
14 entriesLibraries you can run yourself.
Cloud & Commercial AutoML
6 entriesManaged AutoML services.
Related Pages
5 entriesNeighbouring pages on this site.
Frequently Asked Questions
What is AutoML?
AutoML automates parts of the machine learning workflow, such as feature engineering, model selection and hyperparameter tuning, so that models can be built faster and with less manual effort.
Which AutoML library should I start with?
auto-sklearn and TPOT work on tabular data with scikit-learn, AutoGluon and FLAML are strong general-purpose choices, and PyCaret offers a low-code workflow.
Which projects are no longer active?
MLBox's last commit was in 2020 and Auto-PyTorch's in 2022, so prefer more actively maintained libraries for new projects.
How current is this page?
Links were checked in October 2026. Sites that block automated checks are kept and may need a manual click. Last-commit dates come from GitHub in October 2026 and show default-branch activity only; check each project's release notes before adopting it.