<contenttype="html"><![CDATA[<img src="/img/blogposts/resized-images/JupyterLite-08.png" alt="Image for JupyterLite 0.8 is released! 🎉" style="max-width:100%; height:auto;" /><p>The new 0.8 release includes a number of new features, bug fixes, and enhancements. Highlights include a shareable REPL, a refreshed loading screen, file system reliability improvements, a terminal in the browser, and an update to JupyterLab 4.6 and Notebook 7.6.</p>]]></content>
<contenttype="html"><![CDATA[<img src="/img/blogposts/resized-images/Congratulations-Distinguished-Contributors-2026-06.png" alt="Image for Congratulations, Distinguished Contributors!" style="max-width:100%; height:auto;" /><p>We are proud to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2025 cohort of contributors.</p>]]></content>
<author>
<name>Johan Mabille</name>
</author>
</entry>
<entry>
<titletype="html"><![CDATA[Improving SIMD in Apache Arrow: 80% faster Parquet column reads on ARM]]></title>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/Accelerating-Arrow.png" alt="Image for Improving SIMD in Apache Arrow: 80% faster Parquet column reads on ARM" style="max-width:100%; height:auto;" /><p>We accelerated Parquet column reads on ARM by up to 80% in Apache Arrow C++, by adding support for the Scalable Vector Extension (SVE) and fixing a compiler optimization issue worth a 5x speedup on a dedicated routine.</p>]]></content>
<contenttype="html"><![CDATA[<img src="/img/blogposts/resized-images/Async-Xeus-Python.png" alt="Image for Async Xeus Python" style="max-width:100%; height:auto;" /><p>We added top-level await support to xeus-python 🚀. You can now use toplevel async code directly in notebooks without extra boilerplate and without blocking the kernel.</p>]]></content>
<author>
<name>Thorsten Beier</name>
</author>
</entry>
<entry>
<titletype="html"><![CDATA[Sharded Repodata Support in Mamba]]></title>
<contenttype="html"><![CDATA[<img src="/img/blogposts/resized-images/Introducing-Mamba-2-6.png" alt="Image for Sharded Repodata Support in Mamba" style="max-width:100%; height:auto;" /><p>We are thrilled to introduce Mamba 2.6, the first release of the package manager with support for sharded repodata, improving perfomance by a large factor, both in execution time and memory consumption.</p>]]></content>
<author>
<name>Julien Jerphanion</name>
</author>
</entry>
<entry>
<titletype="html"><![CDATA[Introducing Sparrow-IPC: A modern C++ implementation of Arrow IPC]]></title>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/Introducing-Sparrow-IPC.png" alt="Image for Introducing Sparrow-IPC: A modern C++ implementation of Arrow IPC" style="max-width:100%; height:auto;" /><p>If you work in the world of data engineering, you are probably familiar with Apache Arrow — the universal columnar format and multi-language toolbox that has become the gold standard for fast in-memory analytics and data interchange.</p>]]></content>
<author>
<name>Hind Montassif, Alexis Placet, Johan Mabille</name>
</author>
</entry>
<entry>
<titletype="html"><![CDATA[How notebook.link Scales Without Backends]]></title>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/Notebook-Link-Prefix.png" alt="Image for How notebook.link Scales Without Backends" style="max-width:100%; height:auto;" /><p>Notebook.link combines WebAssembly and the conda ecosystem to deliver scalable, serverless computing environments that run entirely in the browser.</p>]]></content>
<author>
<name>Sylvain Corlay</name>
</author>
</entry>
<entry>
<titletype="html"><![CDATA[Faster Reads for Apache Parquet: Improving Integer Unpacking]]></title>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/Accelerating-Arrow.png" alt="Image for Faster Reads for Apache Parquet: Improving Integer Unpacking" style="max-width:100%; height:auto;" /><p>By rewriting the SIMD optimizations of a critical low-level algorithm in Arrow C++, we have been able to deliver substantial speedups when reading Parquet data, up to 60% on some Arrow benchmarks with specific column encodings.</p>]]></content>
<author>
<name>Antoine Prouvost</name>
</author>
</entry>
<entry>
<titletype="html"><![CDATA[Expanding Geospatial Workflows in JupyterGIS: STAC Browsing and Story Maps]]></title>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/Story-Maps.png" alt="Image for Expanding Geospatial Workflows in JupyterGIS: STAC Browsing and Story Maps" style="max-width:100%; height:auto;" /><p>We introduce two new JupyterGIS features: a STAC browser integrated directly into JupyterGIS, and a new Story Map feature, which makes it possible to combine maps and narrative content in a single, interactive view.</p>]]></content>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/JupyterLite-Joins-Jupyter.png" alt="Image for JupyterLite Officially Joins Project Jupyter" style="max-width:100%; height:auto;" /><p>We are thrilled to announce that JupyterLite is now an official part of Project Jupyter. This milestone marks a significant step forward for interactive computing in the browser and strengthens JupyterLite’s role within the Jupyter ecosystem.</p>]]></content>
<author>
<name>Jérémy Tuloup, Sylvain Corlay, Fernando Pérez</name>
</author>
</entry>
<entry>
<titletype="html"><![CDATA[Instantly view Parquet files in JupyterLab with Arbalister]]></title>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/Arbalister.png" alt="Image for Instantly view Parquet files in JupyterLab with Arbalister" style="max-width:100%; height:auto;" /><p>Arbalister is a JupyterLab extension that enables seamless viewing of many tabular file formats, including Parquet, CSV, Avro, ORC, and SQLite.</p>]]></content>
<author>
<name>Antoine Prouvost</name>
</author>
</entry>
<entry>
<titletype="html"><![CDATA[Introducing notebook.link: The Future of Notebook Sharing]]></title>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/Introducing-Notebook-Link.png" alt="Image for Introducing notebook.link: The Future of Notebook Sharing" style="max-width:100%; height:auto;" /><p>We are excited to unveil notebook.link, a groundbreaking platform that simplifies sharing and running notebooks like never before.</p>]]></content>
<author>
<name>QuantStack</name>
</author>
</entry>
<entry>
<titletype="html"><![CDATA[JupyterLite 0.7 is released! 🎉]]></title>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/JupyterLite-07.png" alt="Image for JupyterLite 0.7 is released! 🎉" style="max-width:100%; height:auto;" /><p>The new 0.7 release includes a number of new features, bug fixes, and enhancements. This release also brings significant improvements to the user experience and new customization options for JupyterLite deployments.</p>]]></content>
<author>
<name>Jeremy Tuloup</name>
</author>
</entry>
<entry>
<titletype="html"><![CDATA[Teaching a Billion People to Code: How JupyterLite Is Scaling the Impossible]]></title>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/Teaching-a-Billion-People.png" alt="Image for Teaching a Billion People to Code: How JupyterLite Is Scaling the Impossible" style="max-width:100%; height:auto;" /><p>QuantStack, an “almost accidental startup,” is building a serverless distro of JupyterLab for Jupyter’s global adoption.</p>]]></content>
<author>
<name>Michelle Gienow</name>
</author>
</entry>
<entry>
<titletype="html"><![CDATA[JupyterLab 4.5 and Notebook 7.5 are available!]]></title>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/JupyterLab-45.png" alt="Image for JupyterLab 4.5 and Notebook 7.5 are available!" style="max-width:100%; height:auto;" /><p>JupyterLab 4.5 has been released! This new minor release of JupyterLab includes 51 new features and enhancements, 81 bug fixes, 44 maintenance tasks and 38 documentation improvements.</p>]]></content>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/Octave-Lite.png" alt="Image for GNU Octave Meets JupyterLite: Compute Anywhere, Anytime!" style="max-width:100%; height:auto;" /><p>We are thrilled to announce the newest member of our JupyterLite kernel ecosystem: Xeus-Octave. Xeus-Octave allows you to run GNU Octave code directly on your browser.</p>]]></content>
<author>
<name>Isabel Paredes</name>
</author>
</entry>
<entry>
<titletype="html"><![CDATA[JupyterGIS breaks through to the next level]]></title>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/JupyterGIS-Next-Level.png" alt="Image for JupyterGIS breaks through to the next level" style="max-width:100%; height:auto;" /><p>Launched in June 2024, JupyterGIS was introduced as a collaborative, web-based GIS environment built on the JupyterLab framework. Its objective is to bring QGIS-inspired workflows into the browser…</p>]]></content>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/STF-Arrow.png" alt="Image for Sovereign Tech Agency Invests in Apache Arrow’s Future with QuantStack" style="max-width:100%; height:auto;" /><p>We are thrilled to announce that the Sovereign Tech Fund is providing critical funding to sustain and improve Apache Arrow, an essential open-source project in the modern data ecosystem.</p>]]></content>
<author>
<name>Antoine Pitrou, Raúl Cumplido</name>
</author>
</entry>
<entry>
<titletype="html"><![CDATA[From Linux Parties to Global Impact: An Interview with Sylvain Corlay, Founder of QuantStack]]></title>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/An-Interview-with-Sylvain-Corlay.png" alt="Image for From Linux Parties to Global Impact: An Interview with Sylvain Corlay, Founder of QuantStack" style="max-width:100%; height:auto;" /><p>In today’s article, we had the chance to speak with Sylvain Corlay, long-time contributor of the Jupyter project, used by millions of people worldwide, and CEO-founder of QuantStack, an open-source development company employing around thirty people.</p>]]></content>
<author>
<name>Sylvain Corlay, Arthur Vervaet</name>
</author>
</entry>
<entry>
<titletype="html"><![CDATA[A Year in Review: QuantStack’s Contributions to Apache Arrow]]></title>
<contenttype="html"><![CDATA[<img src="img/blogposts/resized-images/Arrow-a-Year-in-Review.png" alt="Image for A Year in Review: QuantStack’s Contributions to Apache Arrow" style="max-width:100%; height:auto;" /><p>Since November 2024, QuantStack has been involved in the maintenance and development of Apache Arrow. We have a team of several engineers working…</p>]]></content>