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Datalore vs Paperspace Notebooks

Datalore logo

Datalore

7.6#2 in data science platformsFrom $29.17 a month
Free planWebAPILinuxSelf-hosted
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What both publish

FactDatalorePaperspace Notebooks
API authenticationRun API requests use bearer-token authentication and identify notebooks by owner ID and notebook ID.API keys are created in the Paperspace console and can authenticate the REST API, JavaScript SDK, and Gradient CLI.
CollaborationReal-time notebook collaboration, link or email sharing, access levels and shared workspaces are supported.The service supports inviting collaborators, permissions, and public notebook links.
Company legal nameCrunchbase lists the maker as JetBrains s.r.o., a private active company.Crunchbase lists the legal name as Paperspace, Co.
Data integrationsThe product advertises connections including AWS S3, Google Cloud, PostgreSQL, Snowflake, MySQL and other databases.Pro and Growth subscribers can mount public or private S3-compatible data sources, including DigitalOcean Spaces and AWS S3, into notebooks.
Documentation depthThe help center includes feature guides, installation, administration, security, API tokens, Run API, agent skills and release notes.The documentation includes API references, CLI references, legacy tool references, authentication instructions, examples, and sample applications.
Founded20002012
HeadquartersAmsterdam, NetherlandsNew York, United States
Rating on Capterra4.5 out of 5 from 8 reviews3.3 out of 5 from 26 reviews
Rating on G24.8 out of 5 from 6 reviews4.9 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 Notebooks plans

  • T0Free
  • FreeFree
  • Pro$8 a month
  • Pro (user plan)$8 a month
  • Pro (team plan)$12 a month
  • T1$12 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 Notebooks if…

It suits people developing or exploring data in Jupyter, especially those who need GPU compute or shared notebook work. Teams can use its collaboration controls, while access to S3-compatible sources requires a Pro or Growth subscription.

Charts they share