"I knew I’d made the right decision when I started getting feedback from data scientists about how delightful their user experience was."
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“Working in Deepnote is like code review and rapid prototyping at the same time, saving valuable time in the iteration cycles.”
"We moved over to Deepnote ... we’re no longer copying and pasting screenshots from external sources."
“Since metrics require a lot of input … to define and align on definitions, we needed a collaborative layer where we could get immediate feedback.”
“Our team can conduct analyses in the language most comfortable for them, which makes it accessible to and powerful for everyone.”
“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.”
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.
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.
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