pytest | pytest framework makes it easy to write small tests

by stefanseefeld Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | pytest Summary

pytest is a Python library. pytest has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

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Quality

Security

License

Reuse

Support

pytest has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

pytest has no issues reported. There are 10 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pytest is current.

Quality

pytest has no bugs reported.

Security

pytest has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pytest is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pytest releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

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pytest Key Features

No Key Features are available at this moment for pytest.

pytest Examples and Code Snippets

No Code Snippets are available at this moment for pytest.

Community Discussions

No Community Discussions are available at this moment for pytest.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pytest

You can download it from GitHub.
You can use pytest like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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