<title><![CDATA[JupyterLite 0.8 is released! 🎉]]></title>
<description><![CDATA[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.]]></description>
<description><![CDATA[We are proud to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2025 cohort of contributors.]]></description>
<title><![CDATA[Improving SIMD in Apache Arrow: 80% faster Parquet column reads on ARM]]></title>
<description><![CDATA[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.]]></description>
<description><![CDATA[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.]]></description>
<title><![CDATA[Sharded Repodata Support in Mamba]]></title>
<description><![CDATA[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.]]></description>
<title><![CDATA[Introducing Sparrow-IPC: A modern C++ implementation of Arrow IPC]]></title>
<description><![CDATA[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.]]></description>
<title><![CDATA[How notebook.link Scales Without Backends]]></title>
<description><![CDATA[Notebook.link combines WebAssembly and the conda ecosystem to deliver scalable, serverless computing environments that run entirely in the browser.]]></description>
<title><![CDATA[Faster Reads for Apache Parquet: Improving Integer Unpacking]]></title>
<description><![CDATA[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.]]></description>
<title><![CDATA[Expanding Geospatial Workflows in JupyterGIS: STAC Browsing and Story Maps]]></title>
<description><![CDATA[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.]]></description>
<description><![CDATA[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.]]></description>
<title><![CDATA[Instantly view Parquet files in JupyterLab with Arbalister]]></title>
<description><![CDATA[Arbalister is a JupyterLab extension that enables seamless viewing of many tabular file formats, including Parquet, CSV, Avro, ORC, and SQLite.]]></description>
<title><![CDATA[Introducing notebook.link: The Future of Notebook Sharing]]></title>
<description><![CDATA[We are excited to unveil notebook.link, a groundbreaking platform that simplifies sharing and running notebooks like never before.]]></description>
<title><![CDATA[JupyterLite 0.7 is released! 🎉]]></title>
<description><![CDATA[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.]]></description>
<title><![CDATA[Teaching a Billion People to Code: How JupyterLite Is Scaling the Impossible]]></title>
<description><![CDATA[QuantStack, an “almost accidental startup,” is building a serverless distro of JupyterLab for Jupyter’s global adoption.]]></description>
<title><![CDATA[JupyterLab 4.5 and Notebook 7.5 are available!]]></title>
<description><![CDATA[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.]]></description>
<description><![CDATA[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.]]></description>
<title><![CDATA[JupyterGIS breaks through to the next level]]></title>
<description><![CDATA[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…]]></description>
<title><![CDATA[Sovereign Tech Agency Invests in Apache Arrow’s Future with QuantStack]]></title>
<description><![CDATA[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.]]></description>
<title><![CDATA[From Linux Parties to Global Impact: An Interview with Sylvain Corlay, Founder of QuantStack]]></title>
<description><![CDATA[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.]]></description>
<title><![CDATA[A Year in Review: QuantStack’s Contributions to Apache Arrow]]></title>
<description><![CDATA[Since November 2024, QuantStack has been involved in the maintenance and development of Apache Arrow. We have a team of several engineers working…]]></description>
<title><![CDATA[Create your own layers in JupyterGIS]]></title>
<description><![CDATA[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.]]></description>
<title><![CDATA[C++ in Jupyter — Interpreting C++ in the Web]]></title>
<description><![CDATA[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.]]></description>
<title><![CDATA[JupyterLite 0.6.0 is released! 🎉]]></title>
<description><![CDATA[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.]]></description>
<title><![CDATA[JupyterLab 4.4 and Notebook 7.4 are available!]]></title>
<description><![CDATA[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.]]></description>
<description><![CDATA[We are proud to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2024 cohort of contributors.]]></description>
<title><![CDATA[Real-time collaboration and collaborative editing for GIS workflows with Jupyter and QGIS]]></title>
<description><![CDATA[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.]]></description>
<dc:creator><![CDATA[Meriem Ben Ismail, Nicolas Brichet, David Brochart, Matt Fisher, Anne Fouilloux, Greg Mooney, Martin Renou, Arjun Verma]]></dc:creator>
<title><![CDATA[PyData Paris 2025 Keynotes]]></title>
<description><![CDATA[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.]]></description>
<description><![CDATA[We are thrilled to introduce JupyterCAD 3.0, the newest version of the collaborative CAD modeler designed for JupyterLab.]]></description>
<description><![CDATA[We are thrilled to introduce Sparrow, a new library designed to simplify the integration of Apache Arrow’s columnar format into C++ applications.]]></description>
<title><![CDATA[Automate your releases with the Jupyter Releaser 🚀]]></title>
<description><![CDATA[Jupyter Releaser is an automation tool developed by the Jupyter team to streamline and standardize the release process across Jupyter projects.]]></description>
<title><![CDATA[QuantStack Steps Up to Support Apache Arrow with New Dedicated Team]]></title>
<description><![CDATA[ We are thrilled to announce that QuantStack is starting a new team dedicated to the maintenance and development of Apache Arrow.]]></description>
<title><![CDATA[Interactive Mapping with ipyopenlayers]]></title>
<description><![CDATA[ In this article, we present the main features of ipyopenlayers and demonstrate how this library can transform your geospatial data into dynamic, interactive visualizations.]]></description>
<title><![CDATA[Announcing the 2023 cohort of Jupyter distinguished contributors]]></title>
<description><![CDATA[We are delighted to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2023 cohort.]]></description>
<title><![CDATA[Ipydatagrid is now part of Project Jupyter]]></title>
<description><![CDATA[Today, we are proud to announce that the ipydatagrid open source project has been incorporated into Project Jupyter as part of the Jupyter Widgets subproject.]]></description>
<description><![CDATA[We are excited to present the first release candidate of Mamba 2.0, a significant upgrade to the mamba package manager. This update brings considerable enhancements for both users and developers, following an extensive year-long development effort.]]></description>
<description><![CDATA[Today, we are announcing a new internship program that aims to empower a new cohort of open-source contributors and future maintainers to make an impact within our ecosystem.]]></description>
<description><![CDATA[We are thrilled to announce that the European Space Agency (ESA) is funding our proposal “Real-time collaboration and collaborative editing for GIS workflows with Jupyter and QGIS.”]]></description>
<description><![CDATA[Open-source projects are not just about the latest exciting updates and features, but also the principles and people that drive these projects to success. In this blog post, I reflect on the dynamics…]]></description>
<description><![CDATA[It is with great sadness that we announce the passing of our colleague and friend, Fanny Loustau Chartez, who served as the Chief Financial Officer of QuantStack since 2021.]]></description>
<title><![CDATA[Announcing PyData Paris 2024]]></title>
<description><![CDATA[We are thrilled to announce the upcoming PyData Paris 2024, the gathering of the open-source data science and AI/ML community in France. PyData Paris will take place at the Cité des Sciences from September 25 to September 26, 2024.]]></description>
<title><![CDATA[Meet Xeus-R: a future-proof Jupyter kernel for R]]></title>
<description><![CDATA[Today, we, a collaborative team led by Romain François and supported by QuantStack, are thrilled to announce the initial release of Xeus-R, a future-proof Jupyter kernel for R.]]></description>
<title><![CDATA[QuantStack: 2023 in review]]></title>
<description><![CDATA[Since QuantStack was founded in 2016, we have remained committed to releasing our work under permissive open-source licenses. Here are some highlights of the 2023 achievements. Buckle up!]]></description>
<description><![CDATA[Voici (meaning “here is” in French) is a novel project reshaping Jupyter-based interactive dashboards by combining Voilà and JupyterLite features. It facilitates the creation of dynamic, in-browser environments for data visualization and exploration.]]></description>
<title><![CDATA[Plug your application into the Jupyter world]]></title>
<description><![CDATA[Kernels are a simple but powerful abstraction in the Jupyter architecture. They encapsulate language interpreters and make them accessible through a standardized interface. This is the key to…]]></description>
<description><![CDATA[Following the launch of Jupyter Notebook 7, it is now Voilà’s turn to join the JupyterLab family. In Version 0.5.0, the front-end of Voilà has been rebuilt from scratch using JupyterLab 4.0 components, just like in the case of Notebook 7.]]></description>
<description><![CDATA[Jupyter Notebook 7 is the most significant release of the Jupyter Notebook in years. Some highlights of this release include real-time collaboration, interactive debugging, table of contents, theming and dark mode, internationalization, improved accessibility, compact view on mobile devices.]]></description>
<title><![CDATA[🎉 JupyterCon 2023 recordings now live on YouTube! 🎉]]></title>
<description><![CDATA[Get ready to relive the magic of JupyterCon 2023, because the long-awaited moment is finally here! The JupyterCon YouTube channel has just dropped a treasure trove of content — all the talk and keynote recordings from the most epic conference of the year.]]></description>
<title><![CDATA[A theme editor for JupyterLab]]></title>
<description><![CDATA[To lower the bar for customizing JupyterLab we created a new tool providing a simple interface for tuning the JupyterLab appearance interactively.]]></description>
<description><![CDATA[We are proud to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2022 cohort of contributors.]]></description>
<title><![CDATA[Embed interactive itkwidgets 3D renderings into JupyterLite deployments]]></title>
<description><![CDATA[A tutorial that demonstrates a zero-server, interactive 3D rendering notebook and walks through the quick and easy configuration that can be customized to your needs.]]></description>
<title><![CDATA[A Jupyter kernel for GNU Octave]]></title>
<description><![CDATA[We are happy to announce the xeus-octave project, a Jupyter kernel for GNU Octave. Xeus-octave was created by Giulio Girardi, recently joined by Antoine Prouvost - and has been incorporated into the Project Jupyter governance.]]></description>
<title><![CDATA[QuantStack: 2022 in review]]></title>
<description><![CDATA[2022 was an amazing year of innovation for the open-source developers at QuantStack. Developments range from major improvements to the Jupyter project to the packaging ecosystem and high-performance computing.]]></description>
<title><![CDATA[Managing conflicts with Mamba]]></title>
<description><![CDATA[A key aspect of package management is finding a set of compatible versions of the required packages. Indeed, even in the case when few packages are explicitly required, second-order dependencies may…]]></description>
<title><![CDATA[JupyterCon is back in 2023]]></title>
<description><![CDATA[JupyterCon 2023 will be held May 10–12 (Thursday to Friday) in the city of light, Paris, France at the largest science museum in Europe, the Cité des Sciences et de l’Industrie.]]></description>
<description><![CDATA[The next major release of JupyterLab will be significantly faster than previous versions. This was achieved both through systematic tracking of performance bugs and through significant upgrades to the Jupyter communication protocol and rendering mechanism for documents.]]></description>
<description><![CDATA[Project Jupyter provides a broad collection of open-source tools for interactive computing that has become ubiquitous in data science and scientific computing, and is very popular in educational…]]></description>
<title><![CDATA[Visual programming in JupyterLab with Blockly]]></title>
<description><![CDATA[When moving from block-based programming to a more classical language like Python, students often have to switch to a completely new environment. In order to provide a smooth ramp of complexity for learners, we designed a JupyterLab extension for Blockly so that Jupyter can be used from the very first steps of their learning journey.]]></description>
<description><![CDATA[JupyterLite is a Jupyter distribution that runs entirely in the web browser without any server components. To achieve this, all language kernels must also run in the browser. A significant benefit of…]]></description>
<title><![CDATA[HTML5 <canvas> based renderer for Matplotlib in Pyodide]]></title>
<description><![CDATA[In this post, we present a new backend for Matplotlib enabling the rendering of figures in the browser by leveraging the <canvas> element. This showcases how JavaScript and Python can interact with each other, thanks to Pyodide.]]></description>
<description><![CDATA[The recent adoption of libmamba by the conda project was a great validation of our work. Several other game-changing innovations are in the works by the mamba team. Stay tuned!]]></description>
<description><![CDATA[We are proud to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2021 cohort of contributors.]]></description>
<title><![CDATA[ROS2 support for Zethus]]></title>
<description><![CDATA[Zethus is an Open Source library for Robot visualization in the browser. Initially developed by Rapyuta Robotics, it provides a web-based…]]></description>
<title><![CDATA[QuantStack: 2021 in review]]></title>
<description><![CDATA[This was a crazy year of innovation for the open-source team at QuantStack. From JupyterLab to the packaging ecosystem and high-performance computing, we made some major strides in all areas, while almost doubling the size of the team.]]></description>
<description><![CDATA[Making their own tiny video games can be a great way for kids to learn programming in a playful matter. While Jupyter is widely used as a scientific and educational tool, Jupyter is seldom used as a…]]></description>
<title><![CDATA[Need for speed: Voilà edition]]></title>
<description><![CDATA[Voilà turns Jupyter notebooks into standalone applications without requiring any modification to the content. You want to share your content with non-technical readers? Just call Voilà with the…]]></description>
<title><![CDATA[Towards a more secure conda ecosystem]]></title>
<description><![CDATA[Supply chain security is crucial to the overall security of package managers, which are a major attack vector of information systems. Today, we are pleased to announce that mamba has gained the…]]></description>
<title><![CDATA[Toward a faster and thinner xsimd]]></title>
<description><![CDATA[xsimd, the SIMD library by QuantStack, got more and more adoption in recent years. While it helped improve the library, adoption also brought new requirements. Among them was the abitility to...]]></description>
<description><![CDATA[JupyterLite is a JupyterLab distribution that runs entirely in the web browser, backed by in-browser language kernels. Xeus is C++ library for writing Jupyter kernels. In this blogpost we show how…]]></description>
<title><![CDATA[The mamba project and the CZI grant]]></title>
<description><![CDATA[For those who don't know yet: mamba is a fast, cross-platform & non-language-specific package manager widely used in the scientific space. Mamba works with conda -packages and works great in tandem…]]></description>
<title><![CDATA[Looking at notebooks from a new perspective]]></title>
<description><![CDATA[Jupyter notebooks are a great tool for practitioners of scientific computing from the research phase of their work to the communication of their results. The interleaving of code and rich text makes…]]></description>
<description><![CDATA[We have just released Xeus 2.0. This is a major release of the library. While it includes backward-incompatible changes, they are very limited and upgrading your kernels should be relatively easy…]]></description>
<title><![CDATA[From Jupyter to the Moon]]></title>
<description><![CDATA[A key principle in Jupyter’s design is language agnosticism, and one of the main extension points of the Jupyter ecosystem is the kernel, the part of the architecture responsible for executing the…]]></description>
<description><![CDATA[JupyterLite is a JupyterLab distribution that runs entirely in the web browser, backed by in-browser language kernels. JupyterLite is a reboot of several attempts at making a full static Jupyter…]]></description>
<description><![CDATA[We’ve just dropped one of the biggest releases of mamba (the fast conda package manager)— along with some nice improvements in libsolv! This is a quick update on some new and improved features in…]]></description>
<title><![CDATA[Le calcul haute performance au service de l'innovation (in French)]]></title>
<description><![CDATA[Led by Professor Marc Massot (Center for Applied Mathematics), the HPC@Maths initiative aims at developing a strong expertise in high-performance computing at École Polytechnique. This project is supported by the X Foundation, and by QuantStack.]]></description>
<title><![CDATA[How we made Jupyter notebooks collaborative with Yjs]]></title>
<description><![CDATA[Collaborative editing — à la Google Docs — is a feature that you still rarely find in applications. One of the few good things that came out of this pandemic is that more people seem to care about…]]></description>
<title><![CDATA[RetroLab - A JupyterLab distribution with a retro look and feel]]></title>
<description><![CDATA[RetroLab is an alternative JupyterLab distribution, built from the ground-up, providing a notebook interface with a retro look and feel. Currently at version 3.0, JupyterLab provides an advanced…]]></description>
<title><![CDATA[Rhumba, the fast R distribution is available on Windows]]></title>
<description><![CDATA[A few months ago, Mariana Meireles created Rhumba, a fast R package manager and distribution leveraging the conda-forge initiative and the mamba library. Today, we’re happy to announce a new major…]]></description>
<title><![CDATA[Enabling the JupyterLab Debugger with ipykernel]]></title>
<description><![CDATA[JupyterLab 3.0 includes a visual debugger that allows to interactively set breakpoints, step into functions, and inspect variables with any Jupyter kernel that implements the Jupyter debugger…]]></description>
<description><![CDATA[Cytoscape is an open source software platform for visualizing complex networks and integrating these with any type of attribute data. While the project was started in the life sciences community, it…]]></description>
<title><![CDATA[zarray: a dynamic expression system based on xtensor]]></title>
<description><![CDATA[In this article we demonstrate how we pushed xtensor one step further, implementing a dynamic expression system on top of it. xtensor is a comprehensive C++framework for multi-dimensional array…]]></description>
<title><![CDATA[nbterm: Jupyter Notebooks in the terminal]]></title>
<description><![CDATA[Jupyter notebooks are mostly known for their web-based user interface, such as JupyterLab or the Classic Notebook. They offer a great user experience, allow for rich output rendering, provide…]]></description>
<title><![CDATA[Abracadabra! Bringing the Magics to Xeus-Python]]></title>
<description><![CDATA[Last year, we set ourselves to implement a visual debugger for JupyterLab. This endeavor required major developments in the JupyterLab…]]></description>
<title><![CDATA[Cross-platform Conda Packages for ROS]]></title>
<description><![CDATA[2020 has been a busy year for the RoboStack project. We collaboratively published ros-noetic on four platforms (Windows, macOS, Linux x64 and ARM64) and revamped how ROS packages can be released on…]]></description>
<title><![CDATA[Genomic Data representation in Jupyter]]></title>
<description><![CDATA[If there is one thing that recent events tell us, it is that genomics is a large source of data, and that its manipulation and understanding allow for the quick development of new drugs and…]]></description>
<title><![CDATA[An SQL Solution for Jupyter]]></title>
<description><![CDATA[A few months ago we released xeus-sqlite, a Jupyter kernel that allows users to make SQLite queries directly from the notebook. With the needs of the Jupyter data science community in mind we decided…]]></description>
<title><![CDATA[Robotic Process Automation with JupyterLab]]></title>
<description><![CDATA[Robotic Process Automation (RPA) differs from classical automation tools in that the actions to automate can be developed by observing a user perform a task in a graphical user interface, across…]]></description>
<title><![CDATA[Dashboarding with JupyterLab 3.0]]></title>
<description><![CDATA[Project Jupyter offers a complete suite of open-source tools for the scientific computing community, reaching from the exploratory phase of a project to the presentation of the results. In this last…]]></description>
<title><![CDATA[JupyterLab 3.0 is Released!]]></title>
<description><![CDATA[The 3.0 release of JupyterLab brings many new features to users and substantial improvements to the extension distribution system.]]></description>
<title><![CDATA[Interactive C++ for Data Science]]></title>
<description><![CDATA[This post will discuss some applications of Cling developed to support data science researchers. In particular, interactively probing data and interfaces makes complex libraries and complex data…]]></description>
<title><![CDATA[A C++ API for Vega-Lite]]></title>
<description><![CDATA[In this post, we present the first public release of XVega, a C++ library for producing Vega-Lite charts. Data science workflows differ from traditional software development in that engineers make…]]></description>
<title><![CDATA[Ipygany, Jupyter into the Third Dimension]]></title>
<description><![CDATA[From Paraview to Mayavi, there are multiple solutions for data analysis on 3D meshes on the desktop. Most of these tools provide high-level APIs that can be driven with a scripting language like…]]></description>
<title><![CDATA[Rhumba, a Faster R Distribution]]></title>
<description><![CDATA[CRAN is the official package manager for the R ecosystem. Unfortunately, simple operations such as creating new environments or installing packages with it can be very time-consuming due to the fact…]]></description>
<title><![CDATA[The Templating System of Nbconvert 6]]></title>
<description><![CDATA[One of the main changes in nbconvert 6 is the refactor of the template system, which should be easier to extend and build upon. In this article, we dive into the template system, and provide a…]]></description>
<description><![CDATA[Modern IDE features such as interactive debugging, linting, code formatting, and refactoring tools are now available in JupyterLab, thanks to the JupyterLab-LSP extension and the recent release of…]]></description>
<title><![CDATA[Real-time Rendering of Water Caustics]]></title>
<description><![CDATA[In this article, I present an attempt for generalizing caustics computation in real-time using WebGL and ThreeJS. The fact that it is an attempt is important, finding a solution that works well in…]]></description>
<dc:creator><![CDATA[Sylvain Corlay, Jean-Christophe Fillion-Robin, Mike Grauer, Andras Lasso, Matt MacCormick, Isaiah Norton, Steve Pieper, Martin Renou, Mike Sarahan]]></dc:creator>
<title><![CDATA[Open Software Packaging for Science]]></title>
<description><![CDATA[Modern scientific applications typically depend on a very large number of libraries written in various programming languages, ranging from Fortran to TypeScript, C, C++, Python, etc. So, we need to…]]></description>