BigML
7.7#1 in predictive analytics softwareFrom $10,000 a yearFree planWebAPImacOSSelf-hosted
VisitBigML vs LightAutoML
LightAutoML
6.3#8 in automl softwareFree planFree planWebLinuxmacOSSelf-hosted
VisitWhat both publish
| Fact | BigML | LightAutoML |
|---|---|---|
| Automation | OptiML automates model and parameter selection, while WhizzML and Scriptify automate reusable workflows. | Its pipeline creation supports automatic hyperparameter tuning, data processing, typing, feature selection, time utilization, and report creation. |
| Integrations | Official tools include Google Sheets, Zapier, Node-RED, Alexa, PredictServer and a native BigMLX macOS application. | The project offers optional installation extras for NLP, computer vision, and reports, and its tutorial demonstrates a SQL data source. |
| Security | BigML states that connections use HTTPS, resources are private by default, and staff cannot access customer data without explicit consent. | The opened project documentation and repository pages provide no security or compliance claims. |
| 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 repository directs users to its Slack community or Telegram group for advice and GitHub issues for bug reports and feature requests. |
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
LightAutoML plans
- LightAutoMLFree
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 LightAutoML if…
LightAutoML suits data scientists and analysts working with tabular or text data who want to automate parts of model and pipeline creation. Its current dataset support is limited to independent samples in each row.