Notebooks: a better way for teams to work with data

Jump right into Deepnote to explore data with Python and SQL, work together with your team, and share insights that lead to action — all from the comfort of your browser.

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Loved by thousands of data professionals. See how teams use Deepnote ->

Made in Deepnote

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The notebook for analytics and data science

Python & SQL together at last

Combine Python, SQL, and your favorite languages and frameworks — all in one place.

Code from the comfort of your browser

Run in a fully managed, cloud-based environment. Just jump into a browser and get right to work.

Customize your environment with Docker

Import a local Dockerfile or point to a hosted Docker image to customize your environment and add libraries or binaries.

Work while you’re away

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

Create beautiful visualizations with a few clicks

Instantly visualize DataFrames as no-code, configurable charts.

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 ->

Metrics in your notebook

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.

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.

Work faster by allowing anyone to add comments, questions, and feedback.

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

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

Collaborative commenting

Work faster by allowing anyone to add comments, questions, and feedback.

Organize with ease

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

Sharing made simple

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

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 & SOC2 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.

Look back in time

Track all access and changes with audit logs and notebook history.

Role-based access controls

Control who can view, comment, code, and access data with role-based permissions.

Single-tenant deployment

Achieve the highest standard in security, privacy, and compliance with a fully managed and dedicated Deepnote instance.

Talk to us to learn more ->

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.