BigML
7.7#1 in predictive analytics softwareFrom $10,000 a yearFree planWebAPImacOSSelf-hosted
VisitBigML vs TPOT
What both publish
| Fact | BigML | TPOT |
|---|---|---|
| Founded | 2011 | 2016 |
| Integrations | Official tools include Google Sheets, Zapier, Node-RED, Alexa, PredictServer and a native BigMLX macOS application. | The installation documentation lists scikit-learn and offers extra scikit-learn extensions through the tpot[sklearnex] installation option. |
| Support | 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. | The project directs users to its GitHub issues to report bugs or suggest enhancements and to discuss extensions. |
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
TPOT plans
- TPOTFree
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.
Pick TPOT if…
TPOT suits Python users building or evaluating machine learning pipelines who want genetic programming and configurable pipeline types. Users should be prepared to supply data that works with their chosen operators.