pact-testgen | Generate unit tests for provider validation

by pymetrics Python Version: 0.7.0 License: MIT

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

kandi X-RAY | pact-testgen Summary

pact-testgen is a Python library. pact-testgen has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pact-testgen' or download it from GitHub, PyPI.

Generate unit tests for provider validation of Pact API contracts.

Support

Quality

Security

License

Reuse

Support

pact-testgen has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 9 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 3 open issues and 21 have been closed. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pact-testgen is 0.7.0

Quality

pact-testgen has no bugs reported.

Security

pact-testgen has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pact-testgen 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

pact-testgen releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

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pact-testgen Key Features

No Key Features are available at this moment for pact-testgen.

pact-testgen Examples and Code Snippets

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Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install pact-testgen

You can install using 'pip install pact-testgen' or download it from GitHub, PyPI.
You can use pact-testgen 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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