BigML
7.7#1 in predictive analytics softwareFrom $10,000 a yearFree planWebAPImacOSSelf-hosted
VisitBigML vs PyCaret
What both publish
| Fact | BigML | PyCaret |
|---|---|---|
| Company size | LinkedIn lists BigML, Inc. as a privately held software company with 11–50 employees. | LinkedIn lists PyCaret's company size as 11–50 employees. |
| Deployment | Private deployments can run on a preferred cloud provider, ISP, or on-premises behind a corporate firewall, as managed or self-managed deployments. | Models can be saved as portable scikit-learn pipelines, served behind FastAPI, or deployed through the optional pycaret-server layer. |
| Founded | 2011 | LinkedIn lists PyCaret as founded in 2020. |
| Headquarters | BigML lists Corvallis, Oregon as headquarters and Valencia, Spain as its European headquarters. | Toronto, Canada |
| Integrations | Official tools include Google Sheets, Zapier, Node-RED, Alexa, PredictServer and a native BigMLX macOS application. | PyCaret wraps or interoperates with scikit-learn, XGBoost, Microsoft LightGBM, spaCy, sktime, pyod, FastAPI, React, and Plotly. |
| Licence | The hosted BigML platform is proprietary under BigML terms, while selected bindings and libraries are open source. | PyCaret 4.0 licenses the engine under MIT and the control-plane components under BUSL-1.1 with a later Apache-2.0 change date and an additional-use grant. |
| Rating on G2 | 4.7 out of 5 from 24 reviews | 0.0 out of 5 from 0 ratings; the G2 category page provides no user-review information for PyCaret. |
| Security | BigML states that connections use HTTPS, resources are private by default, and staff cannot access customer data without explicit consent. | The overview says the self-hosted backend can be wired to existing authentication and is JWT-friendly. |
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
PyCaret plans
- PyCaretFree
- PyCaret open-sourceFree
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 PyCaret if…
PyCaret suits Python users who want low-code tools for machine-learning experiments across several task types. Its optional self-hosted dashboard and server may suit teams building multi-user or deployment workflows.