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Note that some packages may be out of date. You can always get the newest nbsphinx release from PyPI (using pip). If you want to try the latest development version, have a look at the section Contributing.

nbsphinx Packages

Anaconda Badge

If you are using the conda package manager (e.g. with Miniforge or Miniconda), you can install nbsphinx from the conda-forge channel:

conda install -c conda-forge nbsphinx

PyPI version

You can of course also install nbsphinx with pip, Python’s own package manager:

python3 -m pip install nbsphinx

Depending on your Python installation, you may have to use python instead of python3. If you have installed the module already, you can use the --upgrade flag to get the newest release.

There are more packages available. For an overview, see repology.

nbsphinx Prerequisites

Some of the aforementioned packages will install some of these prerequisites automatically, some of the things may be already installed on your computer anyway.


Of course you’ll need Python, because both Sphinx and nbsphinx are implemented in Python. There are many ways to get Python. If you don’t know which one is best for you, you can try Miniforge.


You’ll need Sphinx as well, because nbsphinx is just a Sphinx extension and doesn’t do anything on its own.

If you use conda, you can get Sphinx from the conda-forge channel:

conda install -c conda-forge sphinx

Alternatively, you can install it with pip (see below):

python3 -m pip install Sphinx


Recent versions of Python already come with pip pre-installed. If you don’t have it, you can install it manually.


The stand-alone program pandoc is used to convert Markdown content to something Sphinx can understand. You have to install this program separately, ideally with your package manager. If you are using conda, you can install pandoc from the conda-forge channel:

conda install -c conda-forge pandoc

If that doesn’t work out for you, have a look at pandoc’s installation instructions.


The use of pandoc in nbsphinx is temporary, but will likely stay that way for a long time, see issue #36.

Pygments Lexer for Syntax Highlighting

To get proper syntax highlighting in code cells, you’ll need an appropriate Pygments lexer. This of course depends on the programming language of your Jupyter notebooks (more specifically, the pygments_lexer metadata of your notebooks).

For example, if you use Python in your notebooks, you’ll have to have the IPython package installed, e.g. with

conda install -c conda-forge ipython


python3 -m pip install IPython


If you are using Anaconda with the default channel and syntax highlighting in code cells doesn’t seem to work, you can try to install IPython from the conda-forge channel or directly with pip, or as a work-around, add 'IPython.sphinxext.ipython_console_highlighting' to extensions in your

For details, see Anaconda issue #1430 and nbsphinx issue #24.

Jupyter Kernel

If you want to execute your notebooks during the Sphinx build process (see Controlling Notebook Execution), you need an appropriate Jupyter kernel installed.

For example, if you use Python, you should install the ipykernel package, e.g. with

conda install -c conda-forge ipykernel


python3 -m pip install ipykernel

If you created your notebooks yourself with Jupyter, it’s very likely that you have the right kernel installed already.


If your automatic builds on are failing due to an error like the one below, add ipykernel to docs/requirements.txt or doc/environment.yml to resolve.

jupyter_client.kernelspec.nosuchkernel: no such kernel named python3