beatle | Inspired on modeling , a python development environment

by melviso1 Python Version: Current License: GNU GPLv2

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

kandi X-RAY | beatle Summary

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

Inspired on modelling, a python development environment. Currently, supporting C++ and phyton.

Support

Quality

Security

License

Reuse

Support

beatle 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.

beatle has no issues reported. On average issues are closed in 744 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of beatle is current.

Quality

beatle has no bugs reported.

Security

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

License

beatle is licensed under the GNU GPLv2 License. This license is Strong Copyleft.

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

Reuse

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

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

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beatle Key Features

No Key Features are available at this moment for beatle.

beatle Examples and Code Snippets

No Code Snippets are available at this moment for beatle.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install beatle

You can download it from GitLab.
You can use beatle 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 GitLab. If you have any questions check and ask questions on community page Stack Overflow .

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