How data teams are actually building the context layer
By Jakub Jurovych
•Updated on September 1, 2026
Best model for proactive agents? Explore our benchmark
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Introducing Deepnote Agent Workspace
By Jakub Jurovych
•Updated on August 3, 2026
Latest releases
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
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
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
Behind Deepnote AI Copilot
Recently, Deepnote became the first data notebook with an integrated AI Copilot. It offers blazingly fast code suggestions as you type, letting you write code more quickly and with fewer errors. Let’s explore how Deepnote AI Copilot works behind the scenes.
By Ondřej Romancov
•Updated on October 4, 2023