Featured Posts by QuantStack Contributors

In this article, we present the main features of ipyopenlayers and demonstrate how this library can transform your geospatial data into dynamic, interactive visualizations.

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

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.

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, foll...

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.

We are thrilled to introduce JupyterCAD 2.0, the newest version of the JupyterLab-based CAD modeler.

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.”

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…...

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.

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 Sept...

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.

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!

Upcoming versions of JupyterLab (4.1.0) and Notebook (7.1.0) will include major keyboard accessibility fixes.

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 en...

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…

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...

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 ...

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 keynot...

To lower the bar for customizing JupyterLab we created a new tool providing a simple interface for tuning the JupyterLab appearance interactively.

Introducing JupyterCAD, a tool that integrates Computer-Aided Design (CAD) capabilities into JupyterLab.

We are proud to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2022 cohort of contributors.

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.

This article presents some of the recent accessibility improvements in the Jupyter Notebook codebase.

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 P...

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 c...

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…

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.

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...

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…

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 le...

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…...

JupyterLab provides multiple ways to improve your coding workflow: code highlighting, code completion, theming, debugger with rich variable rendering and more.

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 w...

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!

We are proud to announce the recipients of the Jupyter Distinguished Contributor (JDC) award for the 2021 cohort of contributors.

Easily embed a console, a notebook, or a fully-fledged IDE on any web page.

Zethus is an Open Source library for Robot visualization in the browser. Initially developed by Rapyuta Robotics, it provides a web-based…

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 al...

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…

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…

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…

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...

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…

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…

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…

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…

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…

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…

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…

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 supp...

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…

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…

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…

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…

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…

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…

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…

Last year, we set ourselves to implement a visual debugger for JupyterLab. This endeavor required major developments in the JupyterLab…

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…

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…

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…...

Diving into the implementation of xwidgets…

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…

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…

The 3.0 release of JupyterLab brings many new features to users and substantial improvements to the extension distribution system.

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 more ...

A C++ implementation of the Zarr specification…

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…

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…

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…

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…

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…

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…

Building the next generation of robotics cloud computing using ROS and JupyterLab

Use Jupyter and 3D Slicer kernel to implement biomedical data processing workflows in a notebook.

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…

While it is well known in the Python scientific computing community, Jupyter is in fact a language-agnostic development environment. High-quality language kernels exist for the main languages of data…...

Jupyter has been a great choice for education for many years. The Jupyter Notebook has become one of the most popular tools to conduct workshops, tutorials, and teach online classes. Recently we have…...

The Jupyter widgets ecosystem offers a broad variety of data visualization tools for exploratory analysis in the notebook. However, we…

Most of the progress made in software projects comes from incrementalism. The ability to quickly see the outcome of an execution and iterate has been one of the main reasons for the success of…

From June 3rd to June 6th 2019, thirty-five developers from the Jupyter community met in Paris for a four-day workshop on dashboarding with Project Jupyter. For four days, attendees worked full time…

As a robotics researcher (but also in many other fields) computations on geometric primitives are used very frequently— but it’s harder than anticipated to find the right abstractions in a nice…

In the previous article, we implemented the broadcasting rules so that we can compute the shape of arbitrary complex trees that involve arrays with different but compatible shapes. This is the first…

This year has seen major changes in xeus and xeus-python, driven by the requirements for developing a visual debugger. We have implemented a prototype that supports the Debug Adapter Protocol from…

Jupyter and Voilà are two popular packages in the data science ecosystem. But the Jupyter plugins jupyter-ros and jupyter-amphion make them more interesting than ever for robotics applications. This…

In the previous article, we implemented operator and mathematical function overloads so that we can build arbitrary complex expression trees and access their elements. Before we can assign an…

Voilà is a new dashboarding solution from Jupyter ecosystem. It provides an easy-to-use tool to convert your Jupyter notebooks into standalone web applications. If you have not used it before, you…

Last June, QuantStack announced the first release of Voilà, a solution to turn Jupyter notebooks into standalone web applications. Voilà enforces security (preventing arbitrary code execution) while…

ROS is a fantastic and very large suite of software tools for Robotics. It’s used in many applications and with great success, ranging from the hobbyist market to industrial use cases. Most people…

As you may already know, the Jupyter Notebook and JupyterLab are Browser-based applications. Browsers are incredibly powerful, they allow you to swap rich and interactive graphical interfaces…

From May 27th to May 29th, thirty developers from the Jupyter community met in Paris for a three-days workshop on the Jupyter kernel…

In the previous article, we introduced expression templates and developed the skeleton of the xfunction class, meant to represent a node of the abstract syntax tree of a tensor expression. We left…

As Jupyter grew in popularity, a broad ecosystem of visualization packages based on Jupyter widgets has been developed, bringing even more interactivity to the Jupyter world. In this article, we dive…...

In the previous articles, we started to implement an N-D container, xarray, which has value semantics and provides all the methods required to access its data. The next step is to give it computation…...

In order to provide a language-agnostic scientific development environment, the Jupyter project is built upon a well-specified protocol to communicate with the Kernel, the part of the infrastructure…

xtensor is a comprehensive framework for N-D arrays processing, including an extensible expression system, lazy evaluation, and many other…

Notebooks come alive with Jupyter widgets, which allow users to produce interactive GUIs inline in the Jupyter notebook or JupyterLab. You can either use them to add a few interactive controls and…

In the previous article, we detailed the implementation of a generic access operator for our N-D container. Two more things to implement before the xarray class can be used in practice are…

In the previous article, we started to design an N-dimensional container. We detailed the implementation of methods related to shape, strides, and memory layout. Let us now get to the access…

xtensor is a C++ library meant for numerical analysis with multi-dimensional array expressions. It exposes an API similar to that of NumPy…

The goal of Project Jupyter is to improve the workflows of researchers, educators, scientists, and other practitioners of scientific computing, from the exploratory phase of their work to the…

Mamba is a drop-in replacement for conda, the awesome cross-platform package manager. In our opinion, conda has one tiny problem: it’s too slow when many packages are installed, or when installing…

Concourse is a continuous integration software, and we use it for two purposes: multi-project continuous integration, and continuous benchmarking. It’s easy to setup on a low cost server, using…

Historically, the ROS (Robot Operating System) community has relied on Qt for building complex user interfaces. Nowadays, the Jupyter notebook and the ipywidgets framework offer a compelling…

You might have seen the announcement on Twitter: at QuantStack we’ve been working on making a prototype of a conda-compatible package manager called mamba. Conda is a great tool to distribute data…

ipysheet is a new interactive widgets library that aims at implementing the core features of a good spreadsheet application and more…

Project Jupyter aims at providing a consistent set of tools for interactive computing workflows across multiple programming languages. Jupyter projects are popular at all stages of a research project…...

For a very long time, the C++ programming language lacked a high-level toolset for scientific computing. Data structures such as N-dimensional arrays, data frames, are the bread and butter of the R…

xtensor and its satellite projects make it easy to implement a feature once in C++ and expose it to the main languages of data science, such as Python, Julia and R with little extra work. Although…

ipywidgets plays an essential part in the Jupyter ecosystem; it brings interactivity between user and data. Widgets are eventful Python objects that often have a visual representation in the Jupyter…

Here we’re laying out a vision for the xtensor project, the n-dimensional array in the C++ language — that makes it easy to write high-performance code and bind it to the languages of data science…

Boost.simd provides a C++ abstraction of vector type, allowing for efficient vectorization of array computations. It has been (optionally) used as part of the expression template engine of Pythran for...

Last month, Simon Danisch launched the Julia Language Challenge, a programming challenge from a member of the Julia community to other programming languages. with high performances. This can be…

Recently, some folks of the Julia community were boasting about the expressiveness of the Julia programming language, compared to older languages. That’s how they started the Julia Challenge. The…

The recent release of the Jupyter kernel for C++, based on the Cling interpreter enabled a number of new workflows for the users of the C++ programming language. More than a limited set of base…

Jupyter interactive widgets enhance the notebook experience by allowing users to create graphical user interfaces. They enable richer interaction with the data and computing resources. While the base…...

It is our pleasure to announce that Project Jupyter has been awarded the 2017 ACM Software System Award, a significant honor for the project. We are humbled to join an illustrious list of projects…

The new JupyterLab interface is much more than a replacement for the classic notebook. It aims to bring together all the pieces required for a complete scientific workflow. The extension-based…

xtensor has a wealth of mathematical functions available already: we support a lot of the NumPy API right there in C++. One of the areas where we were a bit slower than NumPy in the past were…

Knowing the size of the memory that is to be allocated at compile time can improve the runtime performance a lot — the compiler can already reserve the required space on the stack (instead of having…

Scientists, educators and engineers not only use programming languages to build software systems, but also in interactive workflows, using the tools available to explore a problem and reason about…

The One Language to Rule Them All probably does not exist yet. In the world of interactive scientific computing, countless articles and blog posts argue on the merits of R, Python, Julia and other…