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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.
This package provides a pytest plugin to re-run tests to eliminate flaky failures.
This package provides a simple implementation of contracts for Python. Contracts are a debugging and verification tool. They are declarative statements about what states a program must be in to be considered "correct" at runtime. They are similar to assertions, and are verified automatically at various well-defined points in the program. Contracts can be specified on functions and on classes.
This package provides a pytest plugin for generating HTML reports.
This package contains hypothesis strategies for generating Python programs, something like CSmith, a random generator of C programs.
This package provides a Python module for creating JUnit XML test result documents that can be read by tools such as Jenkins or Bamboo.
This pytest plugin provides fixtures to simplify Flask app testing.
This package provides a simple pytest plugin that provides some helpful fixtures for testing Tornado (version 5.0 or newer) apps and easy handling of plain (undecoratored) native coroutine tests.
flexmock is a testing library for Python that makes it easy to create mocks, stubs and fakes.
This package lets you set a different time for your tests.
This package implements a functionality to write tests which assert immutability of computed results.
Pytest Helpers Namespace Plugin provides a helpers pytest namespace which can be used to register helper functions without requiring someone to import them in their actual tests to use them.
Robber is a Python assertion library for test-driven and behavior-driven development (TDD and BDD).
This package enables dynamic orchestration of Celery environments for testing tasks in isolated conditions, leveraging Docker & pytest-docker-tools for environment simulation.
This package provides a pytest fixture for testing flake8 plugins.
This package can be used for different things:
golden master/approval/snapshot testing. The idea is that you have a function with a currently unknown result and you want to write a tests, which ensures that the result does not change during refactoring.
Compare things which are complex like lists with lot of numbers or complex data structures.
Things which might change during the development like error messages.
inline-snapshot automates the process of recording, storing and updating the value you want to compare with. The value is converted with repr() and stored in the source file as argument of the snapshot() function.
re-assert provides a helper class to make assertions of regexes simpler.
pytest-metadata is a pytest plugin that provides access to test session metadata.
This package provides a pytest plugin that allows multiple failures per test.
Sure is a python library that leverages a DSL for writing assertions. Sure is heavily inspired by RSpec Expectations and should.js.
This package provieds a flake8 and pylama plugin that checks the ordering of import statements.
This plugin makes it simple to test general data, images, files, and numeric tables by saving expected data in a data directory (courtesy of pytest-datadir) that can be used to verify that future runs produce the same data.
This Pytest plugin adds a cookies fixture, which is a wrapper for the Cookiecutter API. This fixture helps you verify that your template is working as expected and takes care of cleaning up after running the tests.
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 module for monitoring the memory usage of a Python program.