Displaying 1 to 20 from 23 results

jupyter-scala - Lightweight Scala kernel for Jupyter / IPython 3

  •    Scala

Jupyter Scala is a Scala kernel for Jupyter. It aims at being a versatile and easily extensible alternative to other Scala kernels or notebook UIs, building on both Jupyter and Ammonite. The current version is available for Scala 2.11. Support for Scala 2.10 could be added back, and 2.12 should be supported soon (via ammonium / Ammonite).

hydrogen - :atom: Run code interactively, inspect data, and plot

  •    Javascript

Hydrogen is an interactive coding environment that supports Python, R, JavaScript and other Jupyter kernels. Checkout our Documentation and Medium blog post to see what you can do with Hydrogen.

IRkernel - R kernel for Jupyter

  •    Jupyter

Now both R versions are available as an R kernel in the notebook. If you have Jupyter installed, you can create a notebook using IRkernel from the dropdown menu.

xeus-cling - Jupyter kernel for the C++ programming language

  •    C++

xeus-cling is a Jupyter kernel for C++ based on the C++ interpreter cling and the native implementation of the Jupyter protocol xeus. xeus-cling has been packaged for the mamba (or conda) package manager on the Linux and OS X platforms. At the moment, we are not providing packages for the Windows platform.




xeus-cling - C++ Jupyter Kernel

  •    C++

xeus-cling is a Jupyter kernel for C++ based on the C++ interpreter cling and the native implementation of the Jupyter protocol xeus. xeus-cling has been packaged for the conda package manager on the linux and OS X platforms. The build for the windows platform made available on our channel is merely experimental.

xeus - Implementation of the Jupyter kernel protocol in C++

  •    C++

xeus is a library meant to facilitate the implementation of kernels for Jupyter. It takes the burden of implementing the Jupyter Kernel protocol so developers can focus on implementing the interpreter part of the kernel. Several Jupyter kernels are built upon xeus, such as xeus-cling, a kernel for the C++ programming language, and xeus-python, an alternative Python kernel for Jupyter.

xeus - C++ implementation of the Jupyter kernel protocol

  •    C++

xeus is a library meant to facilitate the implementation of kernels for Jupyter. It takes the burden of implementing the Jupyter Kernel protocol so developers can focus on implementing the interpreter part of the kernel. An example of kernel built with xeus is xeus-cling, a kernel for the C++ programming language based on the cling C++ interpreter.


icsharp - C# kernel for Jupyter

  •    CSharp

ICSharp is an C# language kernel for Jupyter. It allows users to use Jupyter's Notebook frontend, except where Jupyter executes python code, ICSharp can execute C# code. It is based on Roslyn REPL engine of scriptcs., so all the goodies of scriptcs comes along with it. This is on top of all of Jupyter's other frontend features like Markdown rendering, HTML rendering, saving notebooks for later use and even the ability to view ICSharp Notebooks in Jupyter's NBViewer.

jupyter-elm-kernel - A Jupyter kernel for running Elm code.

  •    Python

This kernel adds support for Elm to Jupyter notebooks. While basic functionality is in place, this is still very much a work in progress. I'm still figuring it all out. Any help, ideas, etc. would be great.

ocaml-jupyter - An OCaml kernel for Jupyter (IPython) notebook

  •    Jupyter

An OCaml kernel for Jupyter notebook. This provides an OCaml REPL with a great user interface such as markdown/HTML documentation, LaTeX formula by MathJax, and image embedding.

kernel_gateway - Jupyter Kernel Gateway

  •    Python

Send code snippets for execution using the Jupyter kernel protocol over Websockets. Start and stop kernels through REST calls. This HTTP API is compatible with the respective API sections of the Jupyter Notebook server. Serve HTTP requests from annotated notebook cells. The code snippets are cells of a static notebook configured in the Kernel Gateway. Annotations define which HTTP verbs and resources it supports. Incoming requests are served by executing one of the cells in a kernel.

jupyter-CAF-kernel - :sparkles: A Coarray Fortran Jupyter notebook kernel :cloud: :computer: :notebook: :zap:

  •    Jupyter

You should see output similar to the following which will instruct you to point your web browser to http://localhost:8888/?token=... When running locally (this way) you won't have access to the examples folder or index.ipynb.

spawnteract - :children_crossing: Spawn Jupyter Kernels

  •    Javascript

Spawn yourself a Jupyter kernel backend. spawnteract will automatically delete the connection file after the kernel process exits or errors out.

math-server-docker - The ideal multi-user Data Science server with Jupyterhub and RStudio, ready for Python, R and Julia languages

  •    Dockerfile

Dockerfile to build the ideal multi-user Data Science server with Jupyterhub and RStudio, ready for Python, R and Julia languages. It's based on CentOS 7 image, which is a very stable Linux distribution, compatible with Red Hat (widely used in Corporations), but often offers outdated packages. In order to provide up-to-date tools, this Dockerfile builds most tools from source.

dyalog-jupyter-kernel - A Jupyter kernel for Dyalog APL

  •    Python

Please see our wiki. A collection of ready-made notebooks is available here.

jupyternim - A Jupyter kernel for nim

  •    Nim

Look at example-notebook for some examples. NOTE: running a notebook with this creates a directory inimtemp in which it stores blocks of code, pngs, compiled outputs, etc.

enterprise_gateway - A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others

  •    Python

Jupyter Enterprise Gateway enables Jupyter Notebook to launch remote kernels in a distributed cluster, including Apache Spark managed by YARN, IBM Spectrum Conductor, Kubernetes or Docker Swarm. Jupyter Enterprise Gateway does not manage multiple Jupyter Notebook deployments, for that you should look for JupyterHub.

jupyterd - WIP Jupyter notebook for the D programming language / DSLs written in D

  •    D

A Jupyter Notebook kernel written in D. Currently supports an echo "interpreter" and D Repl. Tested on Arch Linux; should work on other distributions and Windows with minor changes.






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