Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.
API method:
GET /api/packages?search=hello&page=1&limit=20
where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned
in response headers.
If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.
This library supports the building of wheels which, when installed, will expose packages in a local directory on sys.path in ``editable mode''. In other words, changes to the package source will be reflected in the package visible to Python, without needing a reinstall.
A wheel is a ZIP-format archive with a specially formatted filename and the .whl extension. It is designed to contain all the files for a PEP 376 compatible install in a way that is very close to the on-disk format. Many packages will be properly installed with only the Unpack step and the unpacked archive preserves enough information to Spread (copy data and scripts to their final locations) at any later time. Wheel files can be installed with a newer pip or with wheel's own command line utility.
Setuptools is a fully-featured, stable library designed to facilitate packaging Python projects, where packaging includes:
Python package and module definitions
distribution package metadata
test hooks
project installation
platform-specific details.
This package provides a Hatchling plugin to read the description from the package docstring.
This package is a plugin for Hatch that uses your preferred version control system (like Git) to determine project versions.
Pip is a package manager for Python software, that finds packages on the Python Package Index (PyPI).
This package analyses Python test suites and reports how much of the code is covered by them. This tool is part of the Codacy suite for analysing code quality.
This package provides home directory fixtures for pytest.
This package provides a Python implementation of the Java library of the same name. It eases monkey patching, for example to stub out side effects when unit testing.
This package provides a pytest plugin that checks the long description of the project to ensure it renders properly.
Sure is a python library that leverages a DSL for writing assertions. Sure is heavily inspired by RSpec Expectations and should.js.
The eradicate command removes commented-out code from Python files. It does this by detecting block comments that contain valid Python syntax that are likely to be commented out code.
Mypy is an optional static type checker for Python that aims to combine the benefits of dynamic typing and static typing. Mypy combines the expressive power and convenience of Python with a powerful type system and compile-time type checking. Mypy type checks standard Python programs; run them using any Python VM with basically no runtime overhead.
This package provides a plugin for snapshot testing with pytest. It can be used to test that the value of an expression does not change unexpectedly.
This package provides a Pytest plugin to run Xvfb for tests.
This package implements a spell checker for source code that does not try to be particularly smart and instead does the simplest thing that can possibly work.
This package provides a pytest plugin that allows multiple failures per test.
This package provides opiniotated Python test framework prototype.
This package contains hypothesis strategies for generating Python programs, something like CSmith, a random generator of C programs.
This package provides a plugin to run pycodestyle for the pytest framework.
This package provides a pytest plugin to enable format checking with the Python code formatter "black".
This is a Python library for test combinations generator. The generator allows one to create a set of tests using pairwise combinations method, reducing a number of combinations of variables into a lesser set that covers most situations.
This package provides a Pytest plugin for testing Jupyter notebooks.
This package provides extensive dynamic type checks for dtypes and shapes of arrays for NumPy, extending numpy.typing.