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.
Jupyter kernels, which run a notebook's code, in any language.
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
Exploring Open Access Art Using the Deno Jupyter Kernel
Jupyter notebooks are the de facto standard for interactive computing and data analysis, combining code, prose, and visualizations in a single document.
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.
Bringing Modern JavaScript to the Jupyter Notebook
The Deno kernel is the freshest runtime for Jupyter
A Jupyter kernel for GNU Octave
Today, we are happy to announce the xeus-octave project, a Jupyter kernel for GNU Octave.
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
Enabling the JupyterLab debugger with ipykernel
Support for the Jupyter Debugger Protocol just landed in ipykernel
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
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.
Field Report on the Kernel Community Workshop
From May 27th to May 29th 2019, thirty developers from the Jupyter community met in Paris for a three-days workshop on the Jupyter kernel protocol.
Building a Calculator Jupyter Kernel
A step-by-step guide for authoring language kernels with Xeus
Jupyter Community Workshop: Jupyter Server Design and Roadmap Workshop
We have some exciting news to share regarding the Jupyter Server Design and Roadmap Workshop as part of the Jupyter Community Workshop series funded by Bloomberg. This workshop will take place May 16th and 17th just outside Paris France at the IBM facility in Bois-Colombes.
Jupyter Community Workshop: Building upon the Jupyter Kernel Protocol
We have some exciting news about the Jupyter Community Workshop on kernels!