.. image:: https://raw.githubusercontent.com/amoffat/sh/master/images/logo-230.png :target: https://amoffat.github.com/sh :alt: Logo

If you are migrating from 1. to 2., please see MIGRATION.md**

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.. image:: https://img.shields.io/pypi/v/sh.svg?style=flat-square :target: https://pypi.python.org/pypi/sh :alt: Version .. image:: https://img.shields.io/pypi/dm/sh.svg?style=flat-square :target: https://pypi.python.org/pypi/sh :alt: Downloads Status .. image:: https://img.shields.io/pypi/pyversions/sh.svg?style=flat-square :target: https://pypi.python.org/pypi/sh :alt: Python Versions .. image:: https://img.shields.io/coveralls/amoffat/sh.svg?style=flat-square :target: https://coveralls.io/r/amoffat/sh?branch=master :alt: Coverage Status

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sh is a full-fledged subprocess replacement for Python 3.8 - 3.12, and PyPy that allows you to call any program as if it were a function:

.. code:: python

from sh import ifconfig
print(ifconfig("eth0"))

sh is not a collection of system commands implemented in Python.

sh relies on various Unix system calls and only works on Unix-like operating systems - Linux, macOS, BSDs etc. Specifically, Windows is not supported.

Complete documentation here <https://sh.readthedocs.io/>_

Full documentation on a single page for LLM-assisted coding here <https://sh.readthedocs.io/en/latest/fulldoc.html>_

Installation

::

$> pip install sh

Support

• Andrew Moffat <https://github.com/amoffat>_ - author/maintainer
• Erik Cederstrand <https://github.com/ecederstrand>_ - maintainer

Developers

Testing

Tests are run in a docker container against all supported Python versions. To run, make the following target::

$> make test

To run a single test::

$> make test='FunctionalTests.test_background' test_one

Docs

To build the docs, make sure you've run poetry install to install the dev dependencies, then::

$> cd docs
$> make html

This will generate the docs in docs/build/html. You can open the index.html file in your browser to view the docs.

Coverage

First run all of the tests::

$> SH_TESTS_RUNNING=1 coverage run --source=sh -m pytest

This will aggregate a .coverage. You may then visualize the report with::

$> coverage report

Or generate visual html files with::

$> coverage html

Which will create ./htmlcov/index.html that you may open in a web browser.