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Datalore vs ML Workspace

Datalore logo

Datalore

8.4#10 in coding playgroundsFrom $29.17 a month
Free planWebAPILinuxSelf-hosted
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ML Workspace

6.7#11 in data science platformsFree plan
Free planWebLinuxmacOSSelf-hosted
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What both publish

FactDataloreML Workspace
DeploymentDatalore On-Premises supports Docker Compose or Kubernetes deployment on 64-bit Linux and does not support ARM, macOS, or Windows hosts.The project provides Docker images and says they can be deployed on Mac, Linux, and Windows; Docker is required.
PurposeDatalore is a collaborative data science platform for exploring, analyzing, visualizing, and sharing data.ML Workspace is an all-in-one web-based IDE specialized for machine learning and data science.

Datalore plans

  • Cloud FreeFree
  • Cloud annual$29.17 a month
  • Cloud$35 a month
  • On-PremisesPriced on request

ML Workspace plans

  • ML WorkspaceFree

Pick Datalore if…

Datalore suits data science teams that need notebooks, shared analysis, and report publishing. It also fits users who work across supported programming languages and databases.

Pick ML Workspace if…

ML Workspace suits individual machine-learning and data-science developers who want browser-based IDEs and preinstalled libraries in a self-hosted environment. It is designed for a single user rather than a multi-user deployment.

Charts they share