FLAML provides a fast Python library for automated machine learning and tuning.
Open source
24 alternativesFlexML
FlexML offers an easy to use and flexible automated machine learning library for Python.
About FlexML
FlexML is an open source AutoML library for Python that automates model selection and hyperparameter tuning. It runs regression or classification experiments with quick mode for commonly used models and wide mode for the full range, allows training all models or a subset, and can retrieve the best model or a named model and tune it with randomized search by default.
It currently supports only regression and classification tasks. It installs with pip install flexml and includes example notebooks in the repository.
Key features
- Automates model selection and hyperparameter tuning for Python models
- Supports regression and classification tasks
- Offers quick mode for commonly used models and wide mode for full range
- Allows training all models or a subset to control experiment size
- Retrieves best model or specific model by name
- Tunes selected model with randomized search by default
Best for: Python users who want automated comparison and tuning for regression or classification models.
Good for
- Open source under Apache-2.0 license
- Installs via pip install flexml
- Includes example notebooks in the repository
Watch out for
- Supports only regression and classification tasks
FlexML at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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FlexML FAQ
How do I install FlexML?
Run pip install flexml.
Which tasks does FlexML support?
Regression and classification tasks.
What is the difference between quick and wide modes?
Quick mode fits commonly used models, while wide mode fits the full range of models in the library.
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