fsclean | Faraday synthesis application that performs 3D CLEAN

by mrbell Python Version: Current License: GPL-3.0

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

kandi X-RAY | fsclean Summary

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

fsclean - Faraday Synthesis CLEAN imager.

Support

Quality

Security

License

Reuse

Support

fsclean has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of fsclean is current.

Quality

fsclean has no bugs reported.

Security

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

License

fsclean is licensed under the GPL-3.0 License. This license is Strong Copyleft.

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

Reuse

fsclean 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.

Installation instructions are not available. Examples and code snippets are available.

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fsclean Key Features

No Key Features are available at this moment for fsclean.

fsclean Examples and Code Snippets

No Code Snippets are available at this moment for fsclean.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install fsclean

You can download it from GitHub.
You can use fsclean 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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