BigML vs Lale
BigML
bigml.comLale
lale.readthedocs.ioSide by side
| Figure | BigML | Lale |
|---|---|---|
| Price from | $833.33/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 7 | 0 |
| Spec score · AutoML Software | 9.1 (#1) | 7.2 (#19) |
| 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. |
| What it does | BigML provides cloud and deployable machine-learning workflows for classification, regression, forecasting, clustering, anomaly detection, association discovery and topic modeling. | Lale is a Python library for semi-automated data science that helps select algorithms and tune pipeline hyperparameters. |
Plans
BigML
- FREEFree
- Basic BigML training$800, paid once
- BigML Lite$1,000 a month
- Extra Support$3,000 a month
- BigML Lite$10,000 a year
- BigML Lite (annual)$10,000 a year
- Bronze Enterprise$45,000 a year
In their own words
BigML
BigML is a machine-learning platform for classification, regression, forecasting, clustering, anomaly detection, association discovery, and topic modeling. It provides interactive model visualizations, prediction explanations, and field-importance views. Models can be exported in JSON PML or PMML formats for use in programming languages and web, mobile, or IoT applications. OptiML helps select and tune models; WhizzML automates workflows, and Scriptify turns workflows into reusable scripts. Users can work through the REST API and language bindings including Python, Node.js, Ruby, Java, and Swift. Listed integrations include Node-RED, Google Sheets, Zapier, Alexa, Docker, and macOS. BigML runs on web, macOS, API, and self-hosted platforms, with private deployments available on a cloud provider, ISP, or on-premises. The free plan is $0/month and includes up to 60 tasks, a 16 MB per-task dataset limit, and two parallel tasks. Paid plans start at $1,000/month; a three-day trial is available.