Jupyter Blog

JupyterLite Terminal

JupyterLite is an unofficial Jupyter distribution that runs entirely in the web browser without any server components…

Automate your releases with the Jupyter Releaser 🚀

Project Jupyter joins LF Charities

We are excited to announce that Project Jupyter is entering a new phase in our journey: we are…

November 2024 Jupyter Community Call

Hey, Jupyter community! We want to see the cool things you’re doing with Jupyter, so the Diversity, Equity, and Inclusion (DEI) standing committee is holding an open call with the community for people to share and chat about their work. Think of it as a “virtual…

Exploring a Document’s Timeline in JupyterLab

Introducing a document timeline component for JupyterLab

Interactive Mapping with ipyopenlayers

Bringing the Power of OpenLayers to Jupyter.

Announcing the 2023 Jupyter Distinguished Contributor Award Recipients

We are delighted to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2023 cohort.

Community Building Report: Project Jupyter

The Jupyter Community Building Working Group would like to share a report and…

ipydatagrid is now part of Project Jupyter

Today, we are proud to announce that the ipydatagrid open source project has been…

JupyterGIS

Pioneering Web-based, Collaborative, and Open-source GIS Tools

JupyterLab 4.2 and Notebook 7.2 are available!

JupyterLab 4.2.0 has been released! This new minor release of JupyterLab…

Jupyter recognized as “Champion of Open Science” by U.S. White House

Jupyter is recognized as a “Champion of Open Science” by the United States White House Office of Science and Technology Policy, in celebration of 2023 being the Year of Open Science. For more information, see the…

CUDA enabled Jupyter Docker Images

I am happy to announce that Jupyter Docker Stacks project now provides GPU accelerated Docker images. This allows PyTorch or TensorFlow operations to use compatible NVIDIA GPUs for accelerated computation.

How to find these images

Make your Pandas or Polars DataFrames Interactive with ITables 2.0