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The notebook you’ll love to use

Deepnote is a new kind of data science notebook. Jupyter-compatible with real-time collaboration and easy deployment. Oh, and it's free.

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Working with Deepnote
in 3 minutes

Used by data scientists from

  • Stanford University
  • ByteDance
  • Lyft
  • GitHub
  • NASA
  • Harvard University

Collaboration done better

We built Deepnote because data scientists don’t work alone. Reviewing other notebooks, presenting your work to colleagues, or handing over your models to an engineering team shouldn’t be painful.
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Real-time collaboration
Discuss and debug your models with your colleagues and see what everyone does in real-time.
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Coming soon
Track changes to your notebooks over time and always know who implemented them with blame tools.
Code review
Coming soon
Have your colleagues review your models and results, track their comments and notify them when you change your code.
Fully reproducible
Coming soon
Deepnote is a standardized environment where you can add more dependencies. Your work can be reproduced by anyone.
Looking for more? Be sure to check out our documentation ->
Main features

Making you more productive

Deepnote increases your productivity even when you are working by yourself, whether you are exploring and cleansing your data or building ML models.
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Variables & better plots
See the internal state of your program at a glance with variable explorer and make discovering patterns in your data easier with interactive plots.
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Code intelligence
Develop faster with intelligent autocomplete and let configurable linting tools point out bugs before they break your long training jobs.
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Shortcuts & Command palette
Browse your files and access all Deepnote features without lifting your hands from the keyboard with Command Pallete.
Dashboards or APIs
Coming soon
Turn your notebooks or individual cells into an interactive dashboard that’s always up to date. You can share it with anyone.
Looking for more? Be sure to check out our documentation ->

Deepnote loves to work with other services

Deepnote integrates with your existing infrastructure and the workflows you like. Working with your datasets is easy and secure.

GitHub and GitLab
Attach a public or a private repository to your project. Read data from any branch or commit and keep your notebooks in sync.
S3 buckets
Attach a public or a private S3 bucket into your project. The bucket will appear in as a read-only folder among your files.
Coming Soon
Connect to a Spark cluster and run jobs directly from Deepnote.
PostgreSQL connection
Connect securely to a Postgres database without leaking credentials and run SQL queries in an intuitive interface.
Make a secure connection to any Mongo database. If credentials change, your notebook will keep working.
Missing a service?
We are constantly working on integrating more services. Let us know if the one you’re looking for is missing.

Giving back to the community

Deepnote will always be free to use. Get in touch with us if you are interested in more advanced deployments.

Free forever 🎉

You can use the community version of Deepnote for free to work on any project whether it’s private or public.

Also, your data is always safe and secure. Deepnote is based on open standards so you can take your work anywhere anytime.

Enterprise edition

Everything your data science team needs to work with sensitive datasets and large workloads.

  • checked High-performance and dedicated machines
  • checked Account management and support
  • checked Access control and audit logs
  • comming-soon Private cloud deployments (coming soon)