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Blog

How we used Claude Opus 4.6 to fix failing E2E tests

By Tomas Kislan

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Updated on March 19, 2026

Tracking the ripple effect: how adverse drug events move pharma markets

By Srihari Thyagarajan

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Updated on February 19, 2026

Latest releases

Deepnote AI vs. Jupyter AI: Which fits your data workflow better?

Comparing Deepnote AI and Jupyter AI, we dive deep into how each platform integrates into your data workflow, evaluating features, user experience, and contextual intelligence.

By Gabor Szalai

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Updated on September 18, 2023

Move fast and operationalize things with Deepnote & Materialize

We're excited to announce our integration with Materialize. Learn about the opportunities this collaboration opens for your development workflow.

By Jakub Jurovych

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Updated on September 12, 2023

Deepnote Achieves Google Cloud Ready - AlloyDB

Deepnote is proud to announce AlloyDB Ready designation.

Updated on August 30, 2023

Deepnote Achieves Google Cloud Ready - Cloud SQL Designation

Deepnote is proud to announce Cloud SQL Ready designation.

Updated on August 30, 2023

Deepnote Achieves Google Cloud Ready - BigQuery Designation

Deepnote is proud to announce it's designation as Google Cloud Ready - BigQuery

By Jakub Jurovych

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Updated on August 28, 2023

Using Deepnote AI & Modelbit to build an ML model and deploy it to production

Updated on August 1, 2023

A new era for data work: autonomous Deepnote AI

Deepnote's autonomous AI assistant is reshaping data workflows by independently handling complex tasks, from start to finish.

By Gabor Szalai

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Updated on July 31, 2023

Introducing Deepnote AI

Deepnote's AI Copilot, with its efficient and contextual code suggestions, is paving the way for a future of AI-powered data exploration in notebooks.

By Gabor Szalai

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Updated on June 20, 2023

7 best Colab alternatives in 2023

Google Colab is a widely popular tool for machine learning and data science, especially among beginners and educators. However, it does come with its strengths and weaknesses.

Updated on May 15, 2023

How teams use notebooks to streamline data sharing

Modern notebooks make data sharing a breeze. Here’s how leading data teams use them to dish out actionable insights.

By Eric Wendt

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Updated on April 17, 2023

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Blog

How we used Claude Opus 4.6 to fix failing E2E tests

Tracking the ripple effect: how adverse drug events move pharma markets

Latest releases

Deepnote AI vs. Jupyter AI: Which fits your data workflow better?

Move fast and operationalize things with Deepnote & Materialize

Deepnote Achieves Google Cloud Ready - AlloyDB

Deepnote Achieves Google Cloud Ready - Cloud SQL Designation

Deepnote Achieves Google Cloud Ready - BigQuery Designation

Using Deepnote AI & Modelbit to build an ML model and deploy it to production

A new era for data work: autonomous Deepnote AI

Introducing Deepnote AI

7 best Colab alternatives in 2023

How teams use notebooks to streamline data sharing