Python, SQL & R together at last
Enhance your productivity by combining your favourite languages and frameworks in a single IDE.
Notebooks: a better way for teams to work with data
Combine Python, R, SQL, and no-code
Query Snowflake, BigQuery, CSV, and 50+ other data sources
Explore data with AI code suggestions, powered by GPT-4
Instantly turn insights into dashboards
Loved by hundreds of thousands of data professionals
Turbocharge your data science and analytics productivity
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
Automagically generate whole notebooks
Deepnote AI instantly creates detailed data notebooks from your prompts, revolutionizing complex data projects.
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.
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!