BigML
7.7#1 in predictive analytics softwareFrom $10,000 a yearFree planWebAPImacOSSelf-hosted
VisitBigML vs Lale
What both publish
| Fact | BigML | Lale |
|---|---|---|
| Automation | OptiML automates model and parameter selection, while WhizzML and Scriptify automate reusable workflows. | Lale provides a shared interface to pipeline search tools including Hyperopt, GridSearchCV, and SMAC. |
| Integrations | Official tools include Google Sheets, Zapier, Node-RED, Alexa, PredictServer and a native BigMLX macOS application. | Its operator libraries include support based on scikit-learn, AI Fairness 360, category_encoders, imbalanced-learn, LightGBM, Snap ML, and XGBoost. |
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
Lale plans
No prices published.
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 Lale if…
Lale suits Python users building semi-automated data science pipelines who want algorithm selection, hyperparameter tuning, and type-aware checks. It supports a range of data types and classification and regression tasks.