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This package provides convenient utilities and data to write a sphinx config file.

pip install intersphinx-registry

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Requires Python

Intersphinx Registry

A simple utility package that provide default inter sphinx mapping for a large chunk of the python ecosystem.

Usage in conf.py

from intersphinx_registry import get_intersphinx_mapping

# ...
intersphinx_mapping = get_intersphinx_mapping(
    packages={"ipython", "matplotlib", "pandas", "python"}
)
intersphinx_mapping.update({
    'overwrite': ('<url>', None),
    'my-package' : ('<url>', None),
})

quick lookup

You can use the following to lookup target/webpages of various packages.

Call without arguments to get help:

$ python -m intersphinx_registry.lookup

    Usage: python -m intersphinx_registry.lookup <package>[,package] [search_term]

    Example:

    $ python -m intersphinx_registry.lookup numpy,scipy array
    $ python -m intersphinx_registry.lookup ipython formatters.html

You can search multiple packages as once.

$ python -m intersphinx_registry.lookup numpy,scipy Universal
std:label ufuncs                             NumPy 2.1    'Universal functions (ufunc)'                         https://numpy.org/doc/stable/reference/ufuncs.html#ufuncs
std:label ufuncs-basics                      NumPy 2.1    'Universal functions (ufunc) basics'                  https://numpy.org/doc/stable/user/basics.ufuncs.html#ufuncs-basics
std:label ufuncs-internals                   NumPy 2.1    'Universal functions'                                 https://numpy.org/doc/stable/dev/internals.code-explanations.html#ufuncs-internals
std:doc   reference/ufuncs                   NumPy 2.1    'Universal functions (ufunc)'                         https://numpy.org/doc/stable/reference/ufuncs.html
std:doc   user/basics.ufuncs                 NumPy 2.1    'Universal functions (ufunc) basics'                  https://numpy.org/doc/stable/user/basics.ufuncs.html
std:label non-uniform-random-number-sampling SciPy 1.14.1 'Universal Non-Uniform Random Number Sampling in SciPy' https://docs.scipy.org/doc/scipy/tutorial/stats/sampling.html#non-uniform-random-number-sampling
std:doc   tutorial/stats/sampling            SciPy 1.14.1 'Universal Non-Uniform Random Number Sampling in SciPy' https://docs.scipy.org/doc/scipy/tutorial/stats/sampling.html

Warning, there is no cache, it downloads the inventory of each mentioned package every time.

Why ?

Sometime packages docs move and it's hard to keep track of. We try to keep the registry up to date, so yo do not have to ask yourself questions and update your intersphinx-mapping.

You also might not want to think about adding intersphinx mapping when you refer to dependencies.

A package url is wrong !

Please send a PR updating only this package in the registry.json. We try to link only to stable package, not dev versions.

A package is missing !

We can't do all packages, but if you think a package is widely used and missing, please send a PR.