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Who’s using Deepnote

Find out why more than 100,000 data professionals use Deepnote to explore, collaborate, and share.

  • Teams

    Deepnote is built from the ground up for collaboration — whether it’s teams of two or 2,000.

  • Enterprises

    Custom plans, on-premise options, and advanced security features make Deepnote enterprise-ready.

  • Individuals & educators

    Hobbyists, researchers, teachers, and students all use Deepnote for their day-to-day work. See our free Education plan →

Deepnote was recognized by Gartner as an industry leader in the 2022 Market Guide for Augmented Analytics

SoundCloud

Floryn

“It always surprises stakeholders how fast we work with Deepnote. We discuss something in the morning and we have results to share in the same afternoon.”

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Webflow

“Our team can conduct analyses in the language most comfortable for them, which makes it accessible to and powerful for everyone.”

Airbase

Spendesk

VantAI

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

Poloniex

Clockwise

Latch

Swire Coca-Cola

DAZN

Ramp

"I knew I’d made the right decision when I started getting feedback from data scientists about how delightful their user experience was."

Motive

Jerry

Papaya

Slido

“Since metrics require a lot of input … to define and align on definitions, we needed a collaborative layer where we could get immediate feedback.”

ezCater

Instawork

Redstone

Homa

"Embracing Deepnote at Homa showcases our willingness to adopt innovative tools and solutions. Deepnote AI has been a game-changer."

Gusto

"We moved over to Deepnote ... we’re no longer copying and pasting screenshots from external sources."

Statsig

Marshmallow

HomeServe

Hedge fund

“Ultimately, it has made a huge difference for collaboration in our team — it's night and day. There's before Deepnote and after Deepnote time.”

Glasswall

Shippit

Chartbeat

What our customers are saying

4.8 out of 5 stars on G2

Read our reviews on G2 →

3x
faster time to insight and value

Create tighter feedback loops and get answers in minutes instead of weeks. Collaborate directly on data or models.

28%
improvement in data team productivity

Speed up analysis with effortless integrations, automated workflows, and point-and-click data visualizations.

23%
less time spent on environment management

Optimize for efficiency with a secure, maintenance-free cloud environment that eliminates infrastructure burdens.

Loved by data teams of all sizes

Deepnote community

The best place to get started and find answers to your burning questions.

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

Luca Naef

CTO

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.

Dinis Cruz

Chief Scientist

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

Khanh Nguyen

Data Analyst

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

Mike Xie

Data Scientist

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

Charly Wargnier

Developer

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.

Allie Russel

Sr. Manager, Data Science

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.

Emi Gal

CEO & co-founder

At 96 out of top 100 universities

Used by the next generation of data analysts and data scientists.

Learn more ->
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.

Becca Carter

Head of Data Science

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.

Michal Koláček

Head of Analytics Engineering

Deepnote community

The best place to get started and find answers to your burning questions.

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

Luca Naef

CTO

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.

Dinis Cruz

Chief Scientist

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

Khanh Nguyen

Data Analyst

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

Mike Xie

Data Scientist

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

Charly Wargnier

Developer

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.

Allie Russel

Sr. Manager, Data Science

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.

Emi Gal

CEO & co-founder

At 96 out of top 100 universities

Used by the next generation of data analysts and data scientists.

Learn more ->
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.

Becca Carter

Head of Data Science

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.

Michal Koláček

Head of Analytics Engineering

That’s it, time to try Deepnote

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