EvalML builds, optimizes, and evaluates machine learning pipelines with automated data checks and objective functions.
Open source
24 alternativesAutoGluon
AutoGluon provides tools for automated machine learning and model development.
About AutoGluon
AutoGluon automates machine learning for tabular data, time series, and multimodal data. It selects and combines models from classic algorithms to foundation models, and trains and predicts with a few lines of Python using TabularPredictor, TimeSeriesPredictor, and MultiModalPredictor. It installs with pip install autogluon and supports Python 3.10 to 3.13 on Linux, macOS, and Windows.
Key features
- Selects combination of models for a given use case
- Trains tabular models from CSV using TabularPredictor
- Forecasts time series using TimeSeriesPredictor
- Processes multimodal data using MultiModalPredictor
- Installs with pip on Python 3.10 to 3.13
- Runs on Linux, macOS, and Windows
Best for: Python users building predictive models on tabular, time series, or multimodal data.
Good for
- Open source repository
- Trains and predicts with a few lines of Python code
- Covers tabular, time series, and multimodal tasks
Watch out for
- Requires Python 3.10 to 3.13
- Installation limited to Linux, macOS, and Windows
AutoGluon at a glance
- Website
- github.com/awslabs/autogluon
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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AutoGluon FAQ
How do I install AutoGluon?
Run pip install autogluon. It supports Python 3.10 to 3.13 on Linux, macOS, and Windows.
What types of data does AutoGluon handle?
It handles data such as tables and time series, with TabularPredictor, TimeSeriesPredictor, and MultiModalPredictor.
How do I train a tabular model?
Use TabularPredictor with a label column to fit training data from a CSV, then call predict on test data.
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