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Datalore vs Paperspace Gradient

Datalore logo

Datalore

8.4#10 in coding playgroundsFrom $29.17 a month
Free planWebAPILinuxSelf-hosted
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What both publish

FactDatalorePaperspace Gradient
Company legal nameCrunchbase lists the maker as JetBrains s.r.o., a private active company.Crunchbase lists the legal name as Paperspace, Co.
Documentation depthThe help center includes feature guides, installation, administration, security, API tokens, Run API, agent skills and release notes.The documentation includes getting-started guides, how-to articles, concepts, reference material, limits, known issues, support pages, CLI references, and SDK/API examples.
Free planYesYes
PurposeDatalore is a collaborative data science platform for exploring, analyzing, visualizing, and sharing data.Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models.
Rating on G24.8 out of 5 from 6 reviewsPaperspace Core is rated 4.9 out of 5 from 10 reviews.

Datalore plans

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

Paperspace Gradient plans

  • Free (Individual)Free
  • Pro (Individual)$8 a month
  • Growth (Individual)$39 a month
  • Free (Team)Free
  • Pro (Team)$12 a month
  • Growth (Team)$39 a month

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 Paperspace Gradient if…

Gradient is aimed at people and teams developing or serving machine learning models, including engineers, data scientists, researchers, and startups. Its browser notebooks, collaboration features, and deployment endpoints support different stages of model work.

Charts they share