AutoGluon
6.2#9 in automl softwareFree planFree planLinuxmacOSSelf-hostedWindows
VisitAutoGluon vs BigML
What both publish
| Fact | AutoGluon | BigML |
|---|---|---|
| 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. | Private deployments can run on a preferred cloud provider, ISP, or on-premises behind a corporate firewall, as managed or self-managed deployments. |
| Founded | 2019 | 2011 |
| Integrations | AutoMM adapts models from Hugging Face, TIMM, and MMDetection model zoos. | Official tools include Google Sheets, Zapier, Node-RED, Alexa, PredictServer and a native BigMLX macOS application. |
| Support | The project welcomes bug reports and feature requests through its GitHub issue tracker. | BigML Lite includes standard 8x5 email and chat support with a 48-hour maximum response time; Enterprise lists customized email and chat with a 24-hour maximum response time. |
AutoGluon plans
- AutoGluonFree
BigML plans
- FREEFree
- Basic BigML training$800, paid once
- BigML Lite$1,000 a month
- Extra Support$3,000 a month
- BigML Lite (annual)$10,000 a year
- Bronze Enterprise$45,000 a year
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 BigML if…
BigML suits analysts, software developers, and scientists who need machine-learning tools, workflow automation, or model deployment options. Its API and language bindings may suit teams integrating models into software.