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Datalore vs JupyterLab

Datalore logo

Datalore

7.6#2 in data science platformsFrom $29.17 a month
Free planWebAPILinuxSelf-hosted
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JupyterLab logo

JupyterLab

8.4#8 in coding playgroundsFree plan
Free planWebAPILinuxmacOS
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What both publish

FactDataloreJupyterLab
CollaborationReal-time notebook collaboration, link or email sharing, access levels and shared workspaces are supported.Real-time collaboration can be activated by installing the jupyter_collaboration extension.
DeploymentDatalore On-Premises supports Docker Compose or Kubernetes deployment on 64-bit Linux and does not support ARM, macOS, or Windows hosts.JupyterLab can be installed with pip, and the installation page also gives a Homebrew command for macOS and Linux.
Documentation depthThe help center includes feature guides, installation, administration, security, API tokens, Run API, agent skills and release notes.Documentation includes user guides, developer material, an extension migration guide, API reference, security guidance and a detailed changelog.
Founded20002014
Free planYesYes
PurposeDatalore is a collaborative data science platform for exploring, analyzing, visualizing, and sharing data.JupyterLab is a web-based interactive development environment for notebooks, code, and data.
Rating on Capterra4.5 out of 5 from 8 reviews4.7 out of 5 from 78 reviews
Rating on G24.8 out of 5 from 6 reviews4.5 out of 5 from 3 reviews

Datalore plans

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

JupyterLab plans

  • JupyterLabFree

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 JupyterLab if…

JupyterLab suits people working in interactive, exploratory computing, including data science, scientific computing, computational journalism, and machine learning. It is designed for users comfortable installing and managing software locally.

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