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-plus.
Enterprises
Custom plans, on-premise options, and advanced security features make Deepnote enterprise-ready. Learn more →
Individuals & educators
Hobbyists, researchers, teachers, and students all use Deepnote for their day-to-day work. See our free Education plan →

Ramp

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

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.”

Clockwise

Latch

Swire Coca-Cola

Gusto

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

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.”

Instawork

Redstone

Homa

Webflow

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

VantAI

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

Glasswall

Shippit

Chartbeat

What our customers are saying

4.8 out of 5 stars on G2

Read our reviews on G2 →

Loved by data teams of all sizes

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.

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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.