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Introducing notebooks:

The most powerful AI data workspace

  • Powered by GPT-4 with the context from your data workspace
  • Turn notebooks into powerful data apps and dashboards
  • Combine Python, SQL, R or don’t write code at all
  • Query Snowflake, BigQuery, CSV, and 50 more data sources
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Loved by hundreds of thousands of data professionals

Turbocharge your data science and analytics productivity

Python, SQL & R together at last

Enhance your productivity by combining your favourite languages and frameworks in a single IDE.

AI co-pilot

Aware of your code, context, and metadata, it continuously adapts, turbocharging your work.

Generate code

Explain code

Debug code

Edit code

AI-autocomplete

Gradient background

Automagically generate whole notebooks

Deepnote AI instantly creates detailed data notebooks from your prompts, revolutionizing complex data projects.
See in action

Interactive & no-code visualizations

Instantly visualize DataFrames as no-code configurable charts.

Powerful version control

Get a complete history of changes and access notebook history or logs.

Automate & share with ease

Schedule notebooks

Schedule notebooks to run hourly, daily, weekly, or monthly.

Beautiful, interactive apps & dashboards

Deepnote allows tailored data presentations and empowers you to craft impressive reports & apps, impressing even your CEO.

Rearrange notebooks into columns

Selectively hide blocks

Add input blocks and buttons

Created for collaboration

Deepnote runs seamlessly in the cloud, making environment management and collaboration with your team a non-issue. And sharing work is as easy as sending a link or email invite.

Product manager

Organize your work

Build a library of data projects sorted by folders so teammates can get needed information fast.

Collaborate & comment

Have your team comment on blocks to ask questions, provide feedback, and work faster.

Data scientist

Sharing made simple

Share your work with stakeholders by simply sending a link or email invite.

Built for your stack

Connect to your data in seconds with built-in integrations for the most popular warehouses, databases, and lakehouses.

Open architecture that connects with your stack

Deepnote quickly and securely connects to the most popular warehouses, databases, and lakehouses. See all integrations →

dbt metadata

Run SQL queries with Jinja and browse your dbt metrics right next to your warehouse schema.

API automation

Tap into our public API to run notebooks, automate workflows, and customize scheduling.

Works magically with your CSV files

Drag and drop a CSV into a notebook and query away.

Keep your data and team secure

Stop passing along credentials and screenshots that contain sensitive data. With Deepnote, you have full control over data access and security.

HIPAA & SOC 2 compliance

Deepnote is compliant with HIPAA and SOC 2 Type II, with more certifications on the way.

Encrypted data & credentials

Share data sources and insights without exposing credentials or sensitive information.

SSO and directory sync

Enjoy single sign-on via SAML or OIDC connections and sync your directory.

Role-based access controls

Control who can access data, code, comment, or just view with role-based access controls.
Role-based access controls

Loved by 100,000+ data pros and counting

Dinis Cruz

Chief Scientist

I have been trying out Deepnote for running shared Jupyter notebooks, and I’m very impressed by how smooth and powerful the whole experience is.

Allie Russel

Senior Manager of Data Science

Deepnote enables us to bring people into the phase of data science that’s all about experimentation, helps them understand our processes, and encourages folks to leverage data science in even more ways.

Emi Gal

CEO & co-founder

I enjoy writing code on weekends (mostly hack around with data analysis & machine learning in Python).

This year I moved my dev environment fully to Deepnote, and I’m never going back. The future of coding is browser-based.

Luca Naef

CTO

Working in Deepnote is like code review and rapid prototyping at the same time, saving valuable time in the iteration cycles.

Deepnote community

3,000+ members

Our community forums are the best place to get started and find answers to your burning questions.

Join community →

Becca Carter

Product Analytics Lead

Deepnote was incredibly easy to set up and allows us to start new notebooks in seconds. Working together with Deepnote gives us a great window into the ways candidates approach the interview problem.

Mike Xie

Data Scientist

Delightful user experience reminds me of Superhuman with the command palette and constant reminders of how to use hotkeys to work more efficiently.

Charly Wargnier

Developer

I just love how SQL is now a first-class citizen in Deepnote notebooks! 🔥 It is SO easy to query databases!

Khanh Nguyen

Data Analyst

Collaborative data analysis where team members can freely share their work and get feedback… This made the analysis workflow much faster.

Dakota McCarty

DataOps Engineer

It's sped up our testing and staging immensely. Deepnote feels more or less like developing locally on your computer, but since it's in the cloud and hosted, it's typically a step closer to being demoed and “shown off” than it would be if it were just local.

Alexandre Castro

Senior QA Engineer

Great tool for those who work or want to work with data science.

Michal Koláček

Head of Analytics Engineering

Since metrics require a lot of input from subject matter experts, data consumers, and business stakeholders to define and align on definitions, we needed a collaborative layer where we could get immediate feedback.

Deepnote community

3,000+ members

Our community forums are the best place to get started and find answers to your burning questions.

Join community →

Dinis Cruz

Chief Scientist

I have been trying out Deepnote for running shared Jupyter notebooks, and I’m very impressed by how smooth and powerful the whole experience is.

Allie Russel

Senior Manager of Data Science

Deepnote enables us to bring people into the phase of data science that’s all about experimentation, helps them understand our processes, and encourages folks to leverage data science in even more ways.

Emi Gal

CEO & co-founder

I enjoy writing code on weekends (mostly hack around with data analysis & machine learning in Python).

This year I moved my dev environment fully to Deepnote, and I’m never going back. The future of coding is browser-based.

Luca Naef

CTO

Working in Deepnote is like code review and rapid prototyping at the same time, saving valuable time in the iteration cycles.

Becca Carter

Product Analytics Lead

Deepnote was incredibly easy to set up and allows us to start new notebooks in seconds. Working together with Deepnote gives us a great window into the ways candidates approach the interview problem.

Mike Xie

Data Scientist

Delightful user experience reminds me of Superhuman with the command palette and constant reminders of how to use hotkeys to work more efficiently.

Charly Wargnier

Developer

I just love how SQL is now a first-class citizen in Deepnote notebooks! 🔥 It is SO easy to query databases!

Khanh Nguyen

Data Analyst

Collaborative data analysis where team members can freely share their work and get feedback… This made the analysis workflow much faster.

Dakota McCarty

DataOps Engineer

It's sped up our testing and staging immensely. Deepnote feels more or less like developing locally on your computer, but since it's in the cloud and hosted, it's typically a step closer to being demoed and “shown off” than it would be if it were just local.

Alexandre Castro

Senior QA Engineer

Great tool for those who work or want to work with data science.

Michal Koláček

Head of Analytics Engineering

Since metrics require a lot of input from subject matter experts, data consumers, and business stakeholders to define and align on definitions, we needed a collaborative layer where we could get immediate feedback.

Try Deepnote today

Start on a Team plan trial to see what Deepnote can do. On a big team? Book a call with us!

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