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Datalore vs Paperspace Gradient

Both stand on coding playgrounds. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Datalore

Free plan APILinuxSelf-hosted+1

Datalore combines notebook work, team collaboration, and report sharing, with both cloud and On-Premises options. Check cloud resource limits or On-Premises host requirements against your setup.

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Paperspace Gradient

Free plan Open source APIExtensionLinux+4

Gradient combines browser-based notebook work with model deployment and on-demand compute. Check the limits of the selected free plan and account for paid instance utilization costs.

Visit Paperspace Gradient

The facts

DatalorePaperspace Gradient
Free planYesYes
Open sourceNoYes
Runs onAPI, Linux, Self-hosted, WebAPI, Extension, Linux, Mac, Self-hosted, Web, Windows
Lowest paid planCloud annual: $29.17 a monthPro: $8 a month
Plans published414
MakerDataloreNot published
Websitejetbrains.compaperspace.com
On coding playgrounds#7 of 138#3 of 138

Datalore: what it does well

  • Jupyter-compatible notebooks support four listed coding languages.
  • Users can collaborate on code in real time.
  • Notebooks can become interactive or static reports.
  • Cloud Free includes 10 GB of storage.

What to know first

  • Cloud Free allows two notebooks running in parallel.
  • Cloud costs $35 a month.
  • On-Premises does not support ARM, macOS, or Windows hosts.

Paperspace Gradient: what it does well

  • Browser-based IDE launches GPU-enabled Jupyter notebooks.
  • Projects can be shared with collaborators.
  • Deployments serve models as API endpoints.
  • Offers on-demand GPU and IPU instances.
  • Free plans are available.

What to know first

  • Paid instance utilization can add costs beyond plan fees.
  • Free plans have storage and notebook or instance limits.
  • Native app lists Linux as beta.

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