From Punch Cards to the Browser: Fortran Comes to JupyterLite
The LFortran kernel now runs entirely in your browser, with no installation and no server.
xeus
Xeus, the C++ library for writing Jupyter kernels.
GNU Octave Meets JupyterLite: Compute Anywhere, Anytime!
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. GNU Octave is a free and open-source Scientific Programming Language that can be used to run Matlab scripts.
C++ in Jupyter — Interpreting C++ in the Web
A Jupyter kernel for C++ running in the Web browser
R in the Browser: Announcing Our WebAssembly Distribution
R is now available in emscripten-forge, enabling the Xeus-R kernel in JupyterLite.
Meet Xeus-R: a future-proof Jupyter kernel for R
The Jupyter ecosystem provides a versatile and user-friendly platform for data analysis and scientific computing, it has democratised access to powerful tools for researchers, scientists, educators, and data professionals.
Plug your application into the Jupyter world
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 Jupyter’s remarkable versatility, with over 100 supported languages.
A Jupyter kernel for GNU Octave
Today, we are happy to announce the xeus-octave project, a Jupyter kernel for GNU Octave.
Mamba meets JupyterLite
Introducing a mamba-based distribution for WebAssembly, and deploying scalable computing environments with JupyterLite.
Xeus-Lite
JupyterLite + Xeus = ❤️️
Xeus 2.0
Announcing a major release of the Xeus library
From Jupyter to the Moon
A new Jupyter kernel for Lua based on Xeus
Abracadabra! Bringing the magics to xeus-python
Last year, we set ourselves to implement a visual debugger for JupyterLab. This endeavor required major developments in the JupyterLab front-end, in core-Jupyter protocols, and on the kernel side (the part of the Jupyter infrastructure responsible for executing the code).
An SQL solution for Jupyter
xeus-sql: A xeus-sqlite sequel
A Curiously Recurring Widget Library
Diving into the implementation of xwidgets
Robotic Process Automation with JupyterLab
Introducing a new Jupyter kernel for Robot Framework
SlicerJupyter: a 3D Slicer kernel for interactive publications
Use Jupyter and 3D Slicer kernel to implement biomedical data processing workflows in a notebook.
A Jupyter kernel for SQLite
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 sciences, such as Python, C++, R or Julia.
A visual debugger for Jupyter
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 Jupyter, especially in scientific exploratory workflows.
Xeus is now a Jupyter subproject
The Xeus project has been incorporated as a Jupyter subproject.
Building a Calculator Jupyter Kernel
A step-by-step guide for authoring language kernels with Xeus
A new Python kernel for Jupyter
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 from the exploration phase to the communication of results and teaching.
Interpreted C++ for GIS with Jupyter
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.
Interactive Workflows for C++ with Jupyter
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 it.