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Jupyter is a project which produces browser-based interactive environments for programming, mathematics, and data science. It supports a number of languages via plugins ("kernels"), such as Python, Ruby, Haskell, R, Scala and Julia.

Jupyter Notebook is the traditional and most stable application. JupyterLab has a new interface and is more suitable for working with larger projects consisting of multiple files. JupyterLab is in beta as of February 2018.


For Jupyter Notebook, install the jupyter-notebook package.

For JupyterLab, install the jupyterlabAUR package.

After installation, run the following (as root) to enable interactive Javascript widgets in the notebooks (otherwise, widgets will be disabled):

# jupyter nbextension enable --py --sys-prefix widgetsnbextension


To start the notebook server, e.g. from a directory containing some .ipynb notebook files to be served, run:

$ jupyter notebook

To start JupyterLab, run:

$ jupyter lab

Then open a browser and navigate to http://localhost:8888.



Install the ihaskell-gitAUR package. Then run ihaskell install.


Install the julia package and run julia to get a REPL prompt. Then run:


See the Julia manual for more details on package management.


Install the python2-ipykernel package for Python 2 support. Python 3 support (via python-ipykernel) is included when installing jupyter-notebook.


Follow the installation instructions in IR Kernel.

Sage math

Install the sagemath-jupyter package.


Install the jupyter-octave_kernelAUR package.