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AutoGluon vs PyCaret

Both stand on predictive analytics software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

AutoGluon

Free plan LinuxMacSelf-hosted+1

AutoGluon covers several machine-learning workflows in one open-source library, with automation for tabular modeling and forecasting. Check its Python requirements, macOS GPU limitation and cloud charges before choosing a deployment route.

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PyCaret

Free plan Open source APILinuxMac+3

PyCaret brings several machine-learning workflows into a low-code Python tool, with pipelines and optional serving components. Existing code using the 3.x module-level functional API may need to stay on 3.x; the FAQ recommends 4.0 for new work.

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The facts

AutoGluonPyCaret
Free planYesYes
Open sourceNot publishedYes
Runs onLinux, Mac, Self-hosted, WindowsAPI, Linux, Mac, Self-hosted, Web, Windows
Lowest paid planFree or on requestFree or on request
Plans published12
MakerNot publishedNot published
Websiteauto.gluon.aipycaret.org
On predictive analytics software#3 of 37#1 of 37

AutoGluon: what it does well

  • Automates data cleaning and model selection
  • Supports probabilistic time-series forecasts
  • Documentation covers image, text and document tasks
  • Apache 2.0 licensed and open source

What to know first

  • GPU use is not supported on macOS
  • Requires Python 3.10 through 3.13
  • SageMaker compute and S3 storage are billed separately

PyCaret: what it does well

  • Covers classification, regression, clustering, and more.
  • Supports model comparison, tuning, and prediction.
  • Fitted outputs can be portable pipelines.
  • Free and MIT-licensed.

What to know first

  • GPU estimators require relevant libraries.
  • Dashboard and other dependencies are optional extras.
  • The 4.0 release removes the 3.x module-level functional API.

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