DAA-Assigments | DAA assignments

by BlackDChase Python Version: Current License: LGPL-3.0

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

kandi X-RAY | DAA-Assigments Summary

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

DAA assignments

Support

Quality

Security

License

Reuse

Support

DAA-Assigments 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.

DAA-Assigments has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DAA-Assigments is current.

Quality

DAA-Assigments has no bugs reported.

Security

DAA-Assigments has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

DAA-Assigments is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

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

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

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DAA-Assigments Key Features

No Key Features are available at this moment for DAA-Assigments.

DAA-Assigments Examples and Code Snippets

No Code Snippets are available at this moment for DAA-Assigments.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install DAA-Assigments

You can download it from GitHub.
You can use DAA-Assigments 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 .

Find more information at: