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Deepnote vs ML Workspace

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

Deepnote

Free plan APIExtensionLinux+4

Deepnote combines collaborative notebooks with AI assistance, scheduled runs and hosted data apps. The free plan has editor, project and history limits; the listed Team price is $3,920 a month per editor when billed yearly.

Visit Deepnote

ML Workspace

Free plan LinuxMacSelf-hosted+2

ML Workspace groups IDEs, libraries, and monitoring tools in a self-deployed environment. It is designed for one user and requires Docker; the documented root-privilege caveat is relevant to deployment decisions.

Visit ML Workspace

The facts

DeepnoteML Workspace
Free planYesYes
Open sourceNot publishedNot published
Runs onAPI, Extension, Linux, Mac, Self-hosted, Web, WindowsLinux, Mac, Self-hosted, Web, Windows
Lowest paid planTeam: $3,920 per editor a monthFree or on request
Plans published31
MakerDeepnoteNot published
Websitedeepnote.commltooling.org
On data science platforms#4 of 32#8 of 32

Deepnote: what it does well

  • AI copilot chats with data, creates charts and writes code
  • Notebooks can become dashboards, apps or APIs
  • Collaborative notebooks support comments and sharing
  • Integrations include PostgreSQL, BigQuery and Snowflake
  • Free plan supports up to three editors

What to know first

  • Free plan is limited to five projects
  • Free plan has seven-day revision history
  • Team plan is listed at $3,920 a month per editor, billed yearly

ML Workspace: what it does well

  • Includes Jupyter, JupyterLab, VS Code, and a Linux desktop GUI
  • Main image includes TensorFlow, PyTorch, Keras, and scikit-learn
  • Provides Git and notebook tools
  • Offers minimal, R, Spark, and GPU image flavors

What to know first

  • Requires Docker
  • Designed as a single-user environment
  • Non-root use is not supported
  • Needs at least 2 CPUs and 500 MB to run stably

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