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<?xml version="1.0" encoding="utf-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
<id>https://quantstack.net/</id>
<title>Recent blog posts featured by QuantStack team</title>
<updated>2026-02-10T09:21:50.254Z</updated>
<generator>https://github.com/jpmonette/feed</generator>
<author>
<name>QuantStack Team</name>
<uri>https://quantstack.net</uri>
</author>
<link rel="alternate" href="https://quantstack.net/"/>
<link rel="self" href="https://quantstack.net/atom.xml"/>
<subtitle>Atom feed for QuantStack website blog page</subtitle>
<entry>
<title type="html"><![CDATA[Instantly view Parquet files in JupyterLab with Arbalister]]></title>
<id>https://blog.jupyter.org/instantly-view-parquet-files-in-jupyterlab-with-arbalister-4799c28bbce7</id>
<link href="https://blog.jupyter.org/instantly-view-parquet-files-in-jupyterlab-with-arbalister-4799c28bbce7"/>
<updated>2026-01-29T00:00:00.000Z</updated>
<content type="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>
<title type="html"><![CDATA[Introducing notebook.link: The Future of Notebook Sharing]]></title>
<id>https://medium.com/@QuantStack/introducing-notebook-link-the-future-of-notebook-sharing-5de900a97b4a</id>
<link href="https://medium.com/@QuantStack/introducing-notebook-link-the-future-of-notebook-sharing-5de900a97b4a"/>
<updated>2026-01-22T00:00:00.000Z</updated>
<content type="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>
<title type="html"><![CDATA[JupyterLite 0.7 is released! 🎉]]></title>
<id>https://blog.jupyter.org/jupyterlite-0-7-is-released-67db4d1609ad</id>
<link href="https://blog.jupyter.org/jupyterlite-0-7-is-released-67db4d1609ad"/>
<updated>2025-12-04T00:00:00.000Z</updated>
<content type="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>
<title type="html"><![CDATA[Teaching a Billion People to Code: How JupyterLite Is Scaling the Impossible]]></title>
<id>https://thenewstack.io/teaching-a-billion-people-to-code-how-jupyterlite-is-scaling-the-impossible/</id>
<link href="https://thenewstack.io/teaching-a-billion-people-to-code-how-jupyterlite-is-scaling-the-impossible/"/>
<updated>2025-12-01T00:00:00.000Z</updated>
<content type="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>
<title type="html"><![CDATA[JupyterLab 4.5 and Notebook 7.5 are available!]]></title>
<id>https://blog.jupyter.org/jupyterlab-4-5-and-notebook-7-5-are-available-1bcd1fa19a47</id>
<link href="https://blog.jupyter.org/jupyterlab-4-5-and-notebook-7-5-are-available-1bcd1fa19a47"/>
<updated>2025-11-24T00:00:00.000Z</updated>
<content type="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>
<author>
<name>Jeremy Tuloup</name>
</author>
</entry>
<entry>
<title type="html"><![CDATA[GNU Octave Meets JupyterLite: Compute Anywhere, Anytime!]]></title>
<id>https://blog.jupyter.org/gnu-octave-meets-jupyterlite-compute-anywhere-anytime-8b033afbbcdc</id>
<link href="https://blog.jupyter.org/gnu-octave-meets-jupyterlite-compute-anywhere-anytime-8b033afbbcdc"/>
<updated>2025-10-16T00:00:00.000Z</updated>
<content type="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>
<title type="html"><![CDATA[JupyterGIS breaks through to the next level]]></title>
<id>https://eo4society.esa.int/2025/10/16/jupytergis-breaks-through-to-the-next-level/</id>
<link href="https://eo4society.esa.int/2025/10/16/jupytergis-breaks-through-to-the-next-level/"/>
<updated>2025-10-16T00:00:00.000Z</updated>
<content type="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>
<author>
<name>Martin Renou, Arjun Verma, Gregory Mooney, Sylvain Corlay</name>
</author>
</entry>
<entry>
<title type="html"><![CDATA[Sovereign Tech Agency Invests in Apache Arrow’s Future with QuantStack]]></title>
<id>https://medium.com/@QuantStack/sovereign-tech-agency-invests-in-apache-arrows-future-with-quantstack-d2f84c21c2cc</id>
<link href="https://medium.com/@QuantStack/sovereign-tech-agency-invests-in-apache-arrows-future-with-quantstack-d2f84c21c2cc"/>
<updated>2025-10-07T00:00:00.000Z</updated>
<content type="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>
<title type="html"><![CDATA[From Linux Parties to Global Impact: An Interview with Sylvain Corlay, Founder of QuantStack]]></title>
<id>https://www.open-source-ward.com/from-linux-parties-to-global-impact-an-interview-with-sylvain-corlay-founder-of-quantstack/</id>
<link href="https://www.open-source-ward.com/from-linux-parties-to-global-impact-an-interview-with-sylvain-corlay-founder-of-quantstack/"/>
<updated>2025-09-18T00:00:00.000Z</updated>
<content type="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>
<title type="html"><![CDATA[A Year in Review: QuantStack’s Contributions to Apache Arrow]]></title>
<id>https://medium.com/@QuantStack/a-year-in-review-quantstacks-contributions-to-apache-arrow-7eba38acbcf2</id>
<link href="https://medium.com/@QuantStack/a-year-in-review-quantstacks-contributions-to-apache-arrow-7eba38acbcf2"/>
<updated>2025-09-02T00:00:00.000Z</updated>
<content type="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>
<author>
<name>Antoine Pitrou, Raúl Cumplido</name>
</author>
</entry>
<entry>
<title type="html"><![CDATA[Create your own layers in JupyterGIS]]></title>
<id>https://david-brochart.medium.com/create-your-own-layers-in-jupytergis-cbb995a89b16</id>
<link href="https://david-brochart.medium.com/create-your-own-layers-in-jupytergis-cbb995a89b16"/>
<updated>2025-06-25T00:00:00.000Z</updated>
<content type="html"><![CDATA[<img src="img/blogposts/resized-images/Create-layers-JupyterGIS.png" alt="Image for Create your own layers in JupyterGIS" style="max-width:100%; height:auto;" /><p>JupyterGIS-tiler is a JupyterGIS extension that lets you use a notebook to process your (Xarray) data and make it available as raster tiles, so that it can be visualized in JupyterGIS.</p>]]></content>
<author>
<name>David Brochart</name>
</author>
</entry>
<entry>
<title type="html"><![CDATA[C++ in Jupyter — Interpreting C++ in the Web]]></title>
<id>https://blog.jupyter.org/c-in-jupyter-interpreting-c-in-the-web-c9d93542f20b</id>
<link href="https://blog.jupyter.org/c-in-jupyter-interpreting-c-in-the-web-c9d93542f20b"/>
<updated>2025-06-19T00:00:00.000Z</updated>
<content type="html"><![CDATA[<img src="img/blogposts/resized-images/CPP-in-JupyterLite.png" alt="Image for C++ in Jupyter — Interpreting C++ in the Web" style="max-width:100%; height:auto;" /><p>Scientists and engineers utilize programming languages not only to build software systems but also to drive interactive exploratory workflows. They leverage developer tools to explore and reason through problems effectively.</p>]]></content>
<author>
<name>Anutosh Bhat, Vassil Vassilev</name>
</author>
</entry>
<entry>
<title type="html"><![CDATA[JupyterLite 0.6.0 is released! 🎉]]></title>
<id>https://blog.jupyter.org/jupyterlite-0-6-0-is-released-b4bc69bfc8f4</id>
<link href="https://blog.jupyter.org/jupyterlite-0-6-0-is-released-b4bc69bfc8f4"/>
<updated>2025-06-12T00:00:00.000Z</updated>
<content type="html"><![CDATA[<img src="img/blogposts/resized-images/JupyterLite-06.png" alt="Image for JupyterLite 0.6.0 is released! 🎉" style="max-width:100%; height:auto;" /><p>The new 0.6.0 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>
<title type="html"><![CDATA[JupyterLab 4.4 and Notebook 7.4 are available!]]></title>
<id>https://blog.jupyter.org/jupyterlab-4-4-and-notebook-7-4-are-available-aca2782d4f3d</id>
<link href="https://blog.jupyter.org/jupyterlab-4-4-and-notebook-7-4-are-available-aca2782d4f3d"/>
<updated>2025-05-21T00:00:00.000Z</updated>
<content type="html"><![CDATA[<img src="img/blogposts/resized-images/JupyterLab-44.png" alt="Image for JupyterLab 4.4 and Notebook 7.4 are available!" style="max-width:100%; height:auto;" /><p>JupyterLab 4.4 has been released! This new minor release of JupyterLab includes 28 new features and enhancements, 76 bug fixes, 63 maintenance tasks and 34 documentation improvements.</p>]]></content>
<author>
<name>Jeremy Tuloup</name>
</author>
</entry>
<entry>
<title type="html"><![CDATA[Congratulations, Distinguished Contributors!]]></title>
<id>https://blog.jupyter.org/congratulations-distinguished-contributors-2504029fc5a9</id>
<link href="https://blog.jupyter.org/congratulations-distinguished-contributors-2504029fc5a9"/>
<updated>2025-05-15T00:00:00.000Z</updated>
<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Congratulations-Distinguished-Contributors-2025.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 2024 cohort of contributors.</p>]]></content>
<author>
<name>Johan Mabille</name>
</author>
</entry>
<entry>
<title type="html"><![CDATA[Making Qt collaborative using CRDTs]]></title>
<id>https://david-brochart.medium.com/making-qt-collaborative-using-crdts-94c470703253</id>
<link href="https://david-brochart.medium.com/making-qt-collaborative-using-crdts-94c470703253"/>
<updated>2025-03-31T00:00:00.000Z</updated>
<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Collaborative-Qt.png" alt="Image for Making Qt collaborative using CRDTs" style="max-width:100%; height:auto;" /><p>A journal on creating a collaborative application with Qt</p>]]></content>
<author>
<name>David Brochart</name>
</author>
</entry>
<entry>
<title type="html"><![CDATA[R in the Browser: Announcing Our WebAssembly Distribution]]></title>
<id>https://blog.jupyter.org/r-in-the-browser-announcing-our-webassembly-distribution-9450e9539ed5</id>
<link href="https://blog.jupyter.org/r-in-the-browser-announcing-our-webassembly-distribution-9450e9539ed5"/>
<updated>2025-02-28T00:00:00.000Z</updated>
<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Xeus-R-Lite.png" alt="Image for R in the Browser: Announcing Our WebAssembly Distribution" style="max-width:100%; height:auto;" /><p>R is now available in emscripten-forge, enabling the Xeus-R kernel in JupyterLite.</p>]]></content>
<author>
<name>Isabel Paredes</name>
</author>
</entry>
<entry>
<title type="html"><![CDATA[Real-time collaboration and collaborative editing for GIS workflows with Jupyter and QGIS]]></title>
<id>https://blog.jupyter.org/real-time-collaboration-and-collaborative-editing-for-gis-workflows-with-jupyter-and-qgis-d25dbe2832a6</id>
<link href="https://blog.jupyter.org/real-time-collaboration-and-collaborative-editing-for-gis-workflows-with-jupyter-and-qgis-d25dbe2832a6"/>
<updated>2025-02-26T00:00:00.000Z</updated>
<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Collaborative-GIS.png" alt="Image for Real-time collaboration and collaborative editing for GIS workflows with Jupyter and QGIS" style="max-width:100%; height:auto;" /><p>We are excited to announce JupyterGIS, a web-based, collaborative, and extensible interface for GIS, leveraging the JupyterLab application framework and integrating seamlessly with the Jupyter notebook interface.</p>]]></content>
<author>
<name>Meriem Ben Ismail, Nicolas Brichet, David Brochart, Matt Fisher, Anne Fouilloux, Greg Mooney, Martin Renou, Arjun Verma</name>
</author>
</entry>
<entry>
<title type="html"><![CDATA[PyData Paris 2025 Keynotes]]></title>
<id>https://medium.com/@PyDataParis/pydata-paris-2025-50ff2bf2dc39</id>
<link href="https://medium.com/@PyDataParis/pydata-paris-2025-50ff2bf2dc39"/>
<updated>2025-02-19T00:00:00.000Z</updated>
<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/PyData-Paris-2025-Keynotes.png" alt="Image for PyData Paris 2025 Keynotes" style="max-width:100%; height:auto;" /><p>We are thrilled to announce the keynote speakers for the upcoming PyData Paris 2025, the leading gathering of the open-source data science and AI/ML community in France.</p>]]></content>
<author>
<name>Sandrine Pataut</name>
</author>
</entry>
<entry>
<title type="html"><![CDATA[Announcing JupyterCAD 3.0]]></title>
<id>https://blog.jupyter.org/announcing-jupytercad-3-0-d8f4b7b0a719</id>
<link href="https://blog.jupyter.org/announcing-jupytercad-3-0-d8f4b7b0a719"/>
<updated>2025-02-17T00:00:00.000Z</updated>
<content type="html"><![CDATA[<img src="/img/blogposts/resized-images/Announcing-JupyterCAD-3.0.png" alt="Image for Announcing JupyterCAD 3.0" style="max-width:100%; height:auto;" /><p>We are thrilled to introduce JupyterCAD 3.0, the newest version of the collaborative CAD modeler designed for JupyterLab.</p>]]></content>
<author>
<name>Arjun Verma, Trung Le, Martin Renou</name>
</author>
</entry>
</feed>