oi_tester | lightweight personal testing toolkit

by quinor Python Version: Current License: MIT

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

kandi X-RAY | oi_tester Summary

oi_tester is a Python library. oi_tester has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However oi_tester build file is not available. You can download it from GitHub.

This compact python2 library is designed to be a simple, multi-threaded and lightweight personal testing toolkit for programming/algorithmic tasks.

Support

Quality

Security

License

Reuse

Support

oi_tester has a low active ecosystem.

It has 2 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

oi_tester has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of oi_tester is current.

Quality

oi_tester has no bugs reported.

Security

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

License

oi_tester 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

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

oi_tester has no build file. You will be need to create the build yourself to build the component from source.

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oi_tester Key Features

No Key Features are available at this moment for oi_tester.

oi_tester Examples and Code Snippets

No Code Snippets are available at this moment for oi_tester.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install oi_tester

You can download it from GitHub.
You can use oi_tester 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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