– by Filip on April 14, 2022
We are excited to present Deepnote workspaces, a collaborative space for data teams of all sizes. A workspace is your data home and it helps you effectively organize and surface data projects, notebooks, and apps in one place, growing with you as your team and knowledge scales.
– by Simon on March 7, 2022
How we set up just-in-time profiling of our nodejs app when its event loop gets stuck.
– by Allan on February 15, 2022
It's almost a given that the brightest tools in machine learning are written for Python. However, those with the deepest understanding of company data often speak SQL. Imagine what they could do if machine learning was at their fingertips—not in a Python environment but in the data layer—where they're most effective.
By Jakub on January 31, 2022
Deepnote is quickly becoming a new standard for working with data. Today, we are announcing a $20M Series A led by Accel and Index. So why are the world’s best VCs doubling down on our vision? Because we are building a new kind of data science notebook.
– by Allan on January 6, 2022
Chances are you've experienced the initial excitement of learning something new followed quickly by a stark realization — you are not familiar with the prerequisites. You've actually got a mountain to climb! This article uses Great Expectations to highlight how Deepnote naturally lends itself to effective, context-based learning.
– by Elizabeth on December 31, 2021
It’s the last day of the year! Here’s a recap of how the Deepnote team, community and product evolved in 2021. We wish you happy holidays, and a great start to 2022!
– by Elizabeth on November 2, 2021
How to build charts over Notion databases and keep your analytics & storytelling all in one place
– by Elizabeth on September 1, 2021
Throughout September 2021, you can find Deepnote on one of New York's biggest screens - the NASDAQ Tower in Times Square as a part of the Webex App Hub campaign.
By Jakub on June 15, 2021
Today, we’re launching Deepnote for Teams. And going forward, we will be building even more features that allow anyone in any organization (not just data scientists) to have a seat at the table.
By Jan on May 4, 2021
We looked at a couple of popular notebook platforms and compared their storage solutions both in managed and on-premise versions.
– by Filip on February 25, 2021
How to build a design system at a fast-moving startup and still leverage all the benefits a design system offers.
– by Simon on February 16, 2021
Introducing reactivity and how it solves the main challenges of data science notebooks
By Jakub on February 6, 2020
We’ve been working behind the scenes for the past year. Today, we’re excited to announce that we raised $3.8M from YC, Index and Accel to build a new kind of data science notebook. Here’s our story.
Deepnote is a new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud.