misc-benchmarks | Random benchmark code

by Spindel Python Version: Current License: AGPL-3.0

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

kandi X-RAY | misc-benchmarks Summary

misc-benchmarks is a Python library. misc-benchmarks has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However misc-benchmarks build file is not available. You can download it from GitHub.

Random benchmark code

Support

Quality

Security

License

Reuse

Support

misc-benchmarks has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

misc-benchmarks has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of misc-benchmarks is current.

Quality

misc-benchmarks has no bugs reported.

Security

misc-benchmarks has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

misc-benchmarks is licensed under the AGPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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

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misc-benchmarks Key Features

No Key Features are available at this moment for misc-benchmarks.

misc-benchmarks Examples and Code Snippets

No Code Snippets are available at this moment for misc-benchmarks.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install misc-benchmarks

You can download it from GitHub.
You can use misc-benchmarks 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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