Sign in Get started

Blog

Illustrative image for blog post

Introducing modules: reusable workflows for your entire team

By Filip Žitný

•

Updated on March 13, 2025

Illustrative image for blog post

Beyond AI chatbots: how we tripled engagement with Deepnote AI

By Gabor Szalai

•

Updated on April 3, 2024

Latest releases

Illustrative image for blog post

Introducing modules: reusable workflows for your entire team

We're excited to announce modules in Deepnote — a powerful new way to create consistent, reusable workflows across your workspace.

By Filip Žitný

•

Updated on March 13, 2025

Illustrative image for blog post

Deepnote acquires Hyperquery

Deepnote has signed a definitive agreement to acquire Hyperquery, a visionary startup in the data analytics space. We are unifying the data analytics market and integrating Hyperquery’s capabilities and customers into Deepnote, the leading AI-powered data notebook.

By Jakub Jurovych

•

Updated on July 29, 2024

Illustrative image for blog post

How we made data apps 40% faster

New and existing apps of our customers are now much faster. How did we achieve that?

By Patrik Gallik

•

Updated on April 24, 2024

Illustrative image for blog post

Beyond AI chatbots: how we tripled engagement with Deepnote AI

We continue exploring the real-world impact of Deepnote AI, delving into our design strategy for integrating conversational AI into our product. We outline our approach to overcoming key challenges and highlight how our efforts helped triple our AI engagement in just 8 months. We also offer a glimpse into our ambitious plans for the future of generative AI in notebooks.

By Gabor Szalai

•

Updated on April 3, 2024

Illustrative image for blog post

How to effectively prompt Deepnote AI

Deepnote AI is a powerful tool, assisting you with your data projects through your prompts in natural language. But how do you effectively structure your prompts in order to get the most out of Deepnote AI and fully utilize its deep contextual awareness?

By Ondřej Romancov

•

Updated on March 26, 2024

Illustrative image for blog post

How to cure the reproducibility crisis in data notebooks

Reproducibility is the foundation of data work. Learn how the right tools keep data scientists and analysts on the right side of the scientific method.

By Megan Lieu

•

Updated on January 8, 2024

Illustrative image for blog post

How Deepnote uses Deepnote

When we founded Deepnote in 2019, we already had our sights set on notebooks. But our grand plan was something much bigger than just notebooks. That’s when we set out to build a single tool that serves any and all data needs.

By Jakub Jurovych

•

Updated on December 27, 2023

Illustrative image for blog post

Deepnote AI: So, what’s the impact? (Part 1)

In Part 1 of our series focusing on the real impact of generative AI in Deepnote, we delve into the creation of AI code completion, our approaches to measuring success, and some of the lessons we've learned along the way.

By Gabor Szalai

•

Updated on December 11, 2023

Illustrative image for blog post

DLT & Deepnote in women's wellness and violence trends: A Visual Analysis

Hiba Jamal from dlthub combines dlt and Deepnote to explore trends in women's wellness and violence, where dlt formatted her deeply nested datasets into my desired destination with minimal supervision and Deepnote acted as an interactive dashboarding tool.

By Megan Lieu

•

Updated on November 14, 2023

Illustrative image for blog post

Deepnote Auto AI vs. ChatGPT: Autonomous Analysis Showdown

Comparing Deepnote Auto AI and ChatGPT's Advanced Analysis plugin, we explore how each tool enhances data analysis, weighing their capabilities, collaboration features, and overall integration into professional workflows.

By Gabor Szalai

•

Updated on November 1, 2023