Deepnote research: our notes on building agents

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Data notebooks as the atomic unit for Reinforcement Learning

By Jakub Jurovych

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Updated on May 13, 2026

Your data team is already building a context layer. They just don't call it that.

By Jakub Jurovych

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Updated on May 13, 2026

Latest releases

How data teams collaborate (& what's standing in the way)

Data collaboration comes in many forms — and with many challenges. Learn how data teams can break down collaboration barriers with the right tools and tactics.

By Jakub Jurovych

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Updated on March 6, 2023

The good, the bad & the ugly: how to share Jupyter notebooks

Sharing is caring when it comes to data analysis. Check out your options for sharing Jupyter notebooks — and the pros and cons of each.

By Eric Wendt

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Updated on February 20, 2023

From insights to outcomes: how Gusto democratizes data analytics

Visibility and accessibility are key to driving results. Find out how Gusto centralized its analytics workflows and empowered all team members with Deepnote.

By Eric Wendt

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Updated on February 7, 2023

3 data smells that mean you need a Jupyter notebook alternative

Well-known isn’t the same as best-in-breed. Find out which signals suggest it’s time to explore a Jupyter notebook alternative.

By Eric Wendt

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Updated on February 6, 2023

Smarter, faster, better: introducing interactive exploration & other power-ups to Deepnote charts

Data visualization is about so much more than painting static pictures. See how Deepnote’s no-code charting experience brings you closer to your data.

By Gabor Szalai

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Updated on February 2, 2023

How teams use notebooks to power data exploration

Modern notebooks are built for data exploration. Here’s how leading data teams use them to supercharge exploratory analysis.

By Eric Wendt

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Updated on January 24, 2023

Exploratory programming: what it is, why it matters & what it requires

Exploring data isn’t the same as developing software. Learn why data teams should embrace tools built for exploratory programming.

By Jakub Jurovych

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Updated on January 23, 2023

Minimum viable (data) product: how Slido brings a product mindset to analytics engineering

Delivering business-friendly metrics isn’t always easy. Find out how Slido conquered the challenges with Deepnote and dbt.

By Eric Wendt

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Updated on January 10, 2023

Explore, collaborate, share: how Webflow optimizes data workflows

Teamwork makes the dream work. Find out how Webflow overcame collaboration challenges inside and outside its data team with Deepnote.

By Eric Wendt

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Updated on January 3, 2023

To all those forgotten data transformations, we salute you

Not all organizational knowledge makes its way into dbt. Let's explore some of these sources of knowledge, why they exist, and their role in the data stack.

By Allan CampopianoKatie Bauer

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Updated on November 18, 2022

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Blog

Data notebooks as the atomic unit for Reinforcement Learning

Your data team is already building a context layer. They just don't call it that.

Latest releases

How data teams collaborate (& what's standing in the way)

The good, the bad & the ugly: how to share Jupyter notebooks

From insights to outcomes: how Gusto democratizes data analytics

3 data smells that mean you need a Jupyter notebook alternative

Smarter, faster, better: introducing interactive exploration & other power-ups to Deepnote charts

How teams use notebooks to power data exploration

Exploratory programming: what it is, why it matters & what it requires

Minimum viable (data) product: how Slido brings a product mindset to analytics engineering

Explore, collaborate, share: how Webflow optimizes data workflows

To all those forgotten data transformations, we salute you