aXL | excluded domains and unblock rules

by arapurayil Python Version: Current License: GPL-3.0

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

kandi X-RAY | aXL Summary

aXL is a Python library. aXL 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.

List of excluded domains and unblock rules. Primarily used for generating aBL.

Support

Quality

Security

License

Reuse

Support

aXL 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.

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

It has a neutral sentiment in the developer community.

The latest version of aXL is current.

Quality

aXL has no bugs reported.

Security

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

License

aXL 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

aXL 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.

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aXL Key Features

No Key Features are available at this moment for aXL.

aXL Examples and Code Snippets

No Code Snippets are available at this moment for aXL.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install aXL

You can download it from GitHub.
You can use aXL 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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