AutoGluon
6.2#9 in automl softwareFree planFree planLinuxmacOSSelf-hostedWindows
VisitAutoGluon vs MLJAR AutoML
MLJAR AutoML
7.1#3 in automl softwareFrom $20 a monthFree planWebLinuxmacOSSelf-hosted
VisitWhat both publish
| Fact | AutoGluon | MLJAR AutoML |
|---|---|---|
| Deployment | The project points to AutoGluon Cloud and deep learning containers for cloud training and deployment, and describes SageMaker Autopilot as a managed AutoGluon experience. | Generated Mercury apps can be previewed locally, published through MLJAR Platform, or self-hosted with Docker. |
| Integrations | AutoMM adapts models from Hugging Face, TIMM, and MMDetection model zoos. | The Python package integrates with Mercury to generate prediction apps that support single predictions and batch CSV predictions. |
| Purpose | AutoGluon automates machine learning for data such as tables and time series, helping users build predictive models with a few lines of code. | MLJAR AutoML automates supervised machine learning for tabular data, including binary classification, multiclass classification, and regression. |
| Support | The project welcomes bug reports and feature requests through its GitHub issue tracker. | MLJAR’s About page invites users to contact the team with questions and says they are happy to help. |
AutoGluon plans
- AutoGluonFree
MLJAR AutoML plans
- FreeFree
- mljar-supervised Python packageFree
- Pro$20 a month
- Business$60 a month
- Perpetual license$199, paid once
Pick AutoGluon if…
AutoGluon suits developers and data teams who want automated model building for tabular, time-series, or multimodal data. GPU users should plan to work on Linux or Windows rather than macOS.
Pick MLJAR AutoML if…
MLJAR AutoML suits people building supervised models from tabular data who want notebook or Python workflows. It is not aimed at forecasting or time-series modeling, and users should account for variation in reports and explanations.