README

Fast and Accurate ML in 3 Lines of Code











Installation | Documentation | Release Notes



AutoGluon automates machine learning on data such as tables and time series, helping you achieve strong predictive performance with just a few lines of code.

From classic ML algorithms to foundation models, the options keep multiplying — but which one should you use? AutoGluon takes care of that: it finds the combination of models that works best for your use case.


 💾 Installation

AutoGluon is supported on Python 3.10 - 3.13 and is available on Linux, MacOS, and Windows.

You can install AutoGluon with:

python
pip install autogluon


Visit our Installation Guide for detailed instructions, including GPU support, Conda installs, and optional dependencies.

 :zap: Quickstart

Build accurate end-to-end ML models in just 3 lines of code!

python
from autogluon.tabular import TabularPredictor
predictor = TabularPredictor(label="class").fit("train.csv", presets="best")
predictions = predictor.predict("test.csv")


| AutoGluon Task      |                                                                                Quickstart                                                                                |                                                                                API                                                                                |
|:--------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| TabularPredictor    |  |                                  |
| TimeSeriesPredictor |             |  |
| MultiModalPredictor |             |  |

 :mag: Resources

 Hands-on Tutorials / Talks

Below is a curated list of recent tutorials and talks on AutoGluon. A comprehensive list is available here.

| Title                                                                                                                    | Format   | Location                                                                         | Date       |
|--------------------------------------------------------------------------------------------------------------------------|----------|----------------------------------------------------------------------------------|------------|
| :tv: Structured Foundation Models Meets AutoML                                                                               | Expo Talk       | ICML 2025                                                                                      | 2025/07/13  |
| :tv: AutoGluon 1.2: Advancing AutoML with Foundational Models and LLM Agents                               | Expo Workshop   | NeurIPS 2024                                                                                | 2024/12/10