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BigML vs FLAML

BigML

7.7#1 in predictive analytics softwareFrom $10,000 a year
Free planWebAPImacOSSelf-hosted
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FLAML

5.9#17 in automl software
APILinuxmacOSSelf-hosted
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What both publish

FactBigMLFLAML
IntegrationsOfficial tools include Google Sheets, Zapier, Node-RED, Alexa, PredictServer and a native BigMLX macOS application.The documentation describes MLflow logging and integration with Azure Machine Learning.
SupportBigML 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 official site links to a Discord community.

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

FLAML 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 FLAML if…

FLAML may suit developers and data practitioners seeking automated model selection or hyperparameter tuning in Python or .NET. Its task support includes forecasting, ranking, and sequence classification.

Charts they share