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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 100,000s of data professionals

AI superpowers for everydata analyst and data scientist

Become a senior data analyst overnight

Describe what you want to do and Deepnote will automagically query, analyze, and interpret data for you. No coding skills necessary.

Deepnote understands your business context and your data stack to deliver high-quality analyses with speed.

See in action

Write Python, SQL, R...

Enhance your productivity by using your favorite languages and tools in a single AI-enabled IDE.
Deepnote notebook code blocks

...or let Python, SQL, R be written for you

Aware of your code, context, and metadata. Deepnote continuously adapts to turbocharge your work.

Generate code

Explain code

Debug code

Edit code

AI-autocomplete

From quick explorations to powerful data apps

  • Quick explorations
  • Notebooks
  • Data apps
  • Dashboards
  • ETL pipelines
  • Data catalog
  • Knowledge base
  • Sales report
  • Customer 360
  • Churn prediction model
  • Lead scoring
  • Sync Salesforce to Notion
  • A/B test evaluation
  • AWS cost analysis
  • NPS analysis
  • Fine-tune LLaMA 7B
  • Protien visualization
  • Forecast sales pipeline

Interactive visualizations

Instantly visualize dataframes as no-code configurable charts.

Beautiful apps & dashboards

Deepnote turns quick data explorations into impressive reports & apps. See some examples.

Arrange into custom layouts

Hide code blocks

Add input blocks and buttons

Schedule notebooks

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

Deploy notebooks as APIs

Put your notebook into production. Serve your models directly.

Run on powerful GPUs

Choose what kind of hardware you want to use, from CPUs to big GPUs.

Collaborate with the whole team

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.

Comment, review, version

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

Data scientist

Sharing made simple

Share your work with others by simply sending a link or email invite. Or use advanced permission models.

100s of integrations

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

Based on open standards & extensible APIs

See all integrations →

dbt metadata

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

Drag and drop your CSVs

And use them like any other data source.

Spark & Snowpark

Work with terabyte-scale data. Connect to your own cluster or spin up serverless Spark clusters on demand.

Improve your data security with Deepnote

Security gets better and easier with Deepnote. Stop exporting CSVs and taking screenshots of sensitive data. With Deepnote, you have complete control over data access and security.

AICPA SOC, HIPAA, GDPR, CCPA Compliance badges

Secure & compliant

All data is secure and encrypted. Deepnote is compliant with HIPAA and SOC 2, GDPR, and more.

RBAC, SSO, directory sync

Control who can access data and code. Enjoy single sign-on via SAML or OIDC connections and sync your directory.
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Custom deployments

Get a secure, compliant, and fully managed Deepnote instance or book a demo to learn about all deployment options.

What makes Deepnote so secure?

Discover how we mitigate risks and protect your data using industry best practices and continuous improvements.
Read more about security
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Deepnote security book

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.

That’s it, time to try Deepnote

Book a demo

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