Deepnote icon
Deepnote icon

Deepnote

Deepnote is a collaborative data science notebook built for teams that is shareable, Jupyter-compatible, and runs in the cloud.

Deepnote screenshot 1

Cost / License

  • Freemium (Subscription)
  • Proprietary

Application type

Platforms

  • Online
Deepnote screenshot 1
Deepnote screenshot 2
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Deepnote screenshot 3
Deepnote alternatives  
16likes
22alternatives
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Features

  1.  Real time collaboration
  2.  Autocompletion
  3.  Third party integrations
  4.  Cloud based
  5.  Notebook
  6.  Data science
  7.  Data analytics
  8.  Imports Jupyter Notebooks
  9.  Web-Based
  10.  Data visualization

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Deepnote information

  • Developed by

    Unknown

  • Licensing

    Proprietary and Freemium product.

  • Pricing

    Subscription ranging between $12 and $99 per month + free version with limited functionality.

  • Alternatives

    22 alternatives listed

  • Badge

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  • Supported Languages

    • English

Our users have written 2 comments and reviews about Deepnote, and it has gotten 16 likes

Deepnote was added to AlternativeTo by the21st on and this page was last updated .

Comments and Reviews

   
Daniel Zvara
0

Lovely UX, works awesome also as a Python IDE in browser.

Review from a new or low-activity account — shown here, but not counted in the app rating.
Guest
0

Nice interface, pretty fast, real time collaboration

Review from a new or low-activity account — shown here, but not counted in the app rating.

Official Links

What is Deepnote?

Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and present the polished assets to end users. All of this is done through a powerful, browser-based UI that runs in the cloud.

Features include:

  • Sharing notebooks and projects via URL
  • Inviting others to view, comment and collaborate, with version control
  • Publishing notebooks with visualizations for presentations
  • Sharing datasets between projects
  • Full linux terminal access
  • Code completion
  • Automatic python package management
  • Importing from github
  • PostgreSQL DB connection