Kernel Zero is IPython, which you can get through ipykernel, and is still a dependency of jupyter. The IPython kernel can be thought of as a reference implementation, as CPython is for Python.
Here is a list of available Jupyter kernels. If you are writing your own kernel, feel free to add it to the table!
Language(s) Version Name Jupyter/IPython Version 3rd party dependencies Example Notebooks Notes LFortran Main repository at GitHub JupyterQ (KX Official Kernel) Jupyter kdb+ ≥ v3.5 64-bit, Python ≥ 3.6, embedPy Notebook Examples Dockerfile dockerfile-kernel JupyterLab Docker User should be in the docker group. C++ (root C++) https://root.cern/install/ Dot/graphviz jupyter-dot-kernel Jupyter >= 4.0 graphviz version 2.40.1 ESP8266/ESP32 MicroPython Jupyter USB or Webrepl developer notebooks relies on the micro-controller's paste-mode Elixir >= 1.5 IElixir Jupyter >= 4.0 Erlang OTP >= 19.3, Rebar examplegs (ghostscript) Powershell PowerShell IPython >= 3 Wrapper, Based on Bash Kernel Processing.js >= 2 Calysto Processing MetaKernel Prolog Prolog MetaKernel Purescript IPurescript Pyspark (Python 2 & 3), Spark (Scala), SparkR (R) sparkmagic Jupyter >=4.0 Livy Notebooks, Docker Images This kernels are implemented via the magics machinery of the ipython kernel to use Spark via Livy Python MetaKernel Python MetaKernel Python 2.7 AIML chatbot Jupyter 4 pyAIML Examples Python 2.7 or >=3.4 SPARQL Jupyter 4 rdflib, SPARQLWrapper Examples Optional GraphViz dependency Python 2.7, >= 3.3 IPyKernel Jupyter 4.0 pyzmq Python >= 3.3 sas_kernel Jupyter 4.0 SAS 9.4 or higher Python >= 3.5, scala >= 2.11 spylon-kernel ipykernel >=4.5 Apache Spark >=2.0 Example MetaKernel Python >=3.4 SoS Jupyter 4 Support kernels for bash, python2/3, matlab/octabe, javascript, julia, R, Stata, SAS, and more Examples Workflow system, Multi-Kernel support Python>=3.7.5, Groovy>3 Micronaut Micronaut Examples Compatible with BeakerX Python Jupyter on Golem JupyterLab >= 4.0.2 yagna >=0.12.2, jupyter >= 1.0.0, pandas >=2.0.2, tensorflow-cpu >= 2.12.0, matplotlib >= 3.7.1 Examples Python kernel, which enables JupyterLab to run Python Notebooks on decentralized Golem Network Q KDB+/Q Kernel (IKdbQ) IPython >= 3.1 qzmq, qcrypt Q KDB+/Q Kernel (KdbQ Kernel) Jupyter Q PyQ Kernel Jupyter Python for kdb+ Q# IQSharp Jupyter 4 QuantumKatas R 3.2 IRKernel IPython 3.0 rzmq R >= 4.0 RKernel Jupyter R packages: tools, utils, pbdZMQ (>= 0.2-1), jsonlite (>= 0.9.6), uuid, digest, R6, svglite, repr, htmltools, htmlwidgets, base64enc; Python package: jupyter-server-proxy Example Notebooks A kernel for R, a language and environment for statistical computing and graphics. This kernel relies on the the more recent R6 class system and fully supports interactive widgets based on ipywidgets version 8 Racket >= 6.10 IRacket IPython >= 3 Racket, ZeroMQ Example Raku Raku-Jupyter-Kernel Jupyter Raku examples Redis Redis Kernel IPython >= 3 Wrapper Ruby >= 2.3 IRuby Rust >= 1.29.2 EvCxR Jupyter Kernel Jupyter 4, JupyterLab, nteract ZeroMQ 4.x.x Examples, Binder online demo SQL Teradata SQL kernel and extensions JupyterLab >= 3.0 Example Notebooks SQL mariadb_kernel Jupyter Notebook/Lab Internal Dependencies, MariaDB Server Binder notebook A Jupyter kernel for the MariaDB Open Source database SWI-Prolog SWI-Prolog Jupyter >=4.0 https://hub.docker.com/r/jm1337/jupyter-prolog-notebook/ Sbt >= 1.0.0 Isbt Jupyter 4.3.0 sbt example Scala IScala Scala, Python, R Apache Toree (Spark Kernel) Jupyter Spark >= 1.5 Example Scala>=2.10 almond (Jupyter-scala) IPython>=3.0 examples Docs Scheme Calysto Scheme Reference Guide MetaKernel Scilab IScilab Jupyter Example MetaKernel SetlX ISetlX Jupyter Example Singular 4.1.0 jupyter_kernel_singular Jupyter Demo Optional PySingular for better performance, surf for images, details Skulpt Python Skulpt Python Kernel Examples MetaKernel GNU Smalltalk GNU Smalltalk Kernel Jupyter GNU Smalltalk Stata stata_kernel Jupyter >=5 Stata >=14 Communicates natively with Stata Stata iPyStata Jupyter Stata Example Notebook Implemented using magics machinery of ipython. Stata >= 17 pystata-kernel Communicates with Stata through the pystata official Python bindings Stata >= 17 nbstata Jupyter >= 5.2 pystata, ipydatagrid stata example StuPyd StuPyd Kernel Jupyter >= 4 Python3, antlr4-python3-runtime >= 4.7.1 nbviewer demo Systemtap >= 4.9, Python >= 3.10 ISystemtap ipykernel>=6.15 NodeJS ISystemtap.ipynb Podman image TaQL TaQL Jupyter python-casacore TaQL tutorial Tcl 8.5 Tcl Jupyter Based on Bash Kernel Tcl 8.6 Tcl Jupyter Binder demo Written from scratch with a patched Tcl zmq binding Torch 7 (LuaJIT) ITorch IPython >= 2.2 and <= 5.x Typescript 3.7.2, JavaScript ESNext tslab Node.js Example notebooks Jupyter kernel for JavaScript and TypeScript - npm Typescript >= 2.0 ITypeScript Node.js >= 0.10.0 V1.1 Common Workflow Language (CWL) Kernel examples directory VPython IVisual Ball-in-Box Vim script A Jupyter kernel for Vim script Jupyter Whitespace 0.1 Whitenote Jupyter>=5 Go>=1.19 example.ipynb Docker image Wolfram Mathematica Wolfram Language for Jupyter Wolfram Engine, i.e., a Wolfram Desktop or Mathematica installation; wolframscript is optional but recommended A Jupyter kernel for the Wolfram Language (Mathematica). Wolfram Mathematica IWolfram Wolfram Mathematica(R), Metakernel MetaKernel Xonsh Xonsh Example MetaKernel YACAS Yacas Zsh >= 5.3 Z shell IPython >= 3 Example
Many kernels are available for installation on PyPI.
Additional Related ProjectsMaking kernels for Jupyter in the documentation.
Testing kernels against message specification (work in progress)
Tool to test a kernel against specification (work in progress)
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