Jupyter Kernel
Showing 15 of 15 projects
A Jupyter kernel for C++ that enables interactive computing with cling interpreter and xeus protocol.
A Jupyter Notebook kernel and interactive REPL for Go (golang) that enables interactive programming and data analysis.
A native R kernel for Jupyter notebooks, enabling R programming within the Jupyter ecosystem.
A Neovim plugin for interactively running code with Jupyter kernels, providing a REPL and notebook-like experience directly in the editor.
A Go kernel for Jupyter notebooks that compiles each cell for fast execution and full Go compatibility.
A Ruby kernel for Jupyter notebooks, enabling interactive data science and computational workflows in Ruby.
A Jupyter kernel for Clojure, enabling Clojure code execution in Jupyter Lab, Notebook, and Console.
A Jupyter Notebook kernel for interactive data exploration and analysis using Apache Spark with Scala.
A Jupyter kernel that enables interactive computing with the Elixir programming language.
An OCaml kernel for Jupyter notebooks, providing an OCaml REPL with markdown/HTML documentation, LaTeX, and image embedding.
A Common Lisp kernel for Jupyter notebooks with a library for building custom Jupyter kernels.
A Jupyter kernel for the Maxima computer algebra system, enabling interactive notebooks for symbolic mathematics.
A Swift kernel for Google Colaboratory that enables Swift programming in the browser with GPU support for machine learning.
A Jupyter kernel for the Coq proof assistant, enabling interactive theorem proving in notebooks.
A comprehensive Java library for statistics, data mining, and machine learning with interactive notebook support.
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