awesome-python | curated list of awesome Python frameworks

by ekeyme Python Version: Current License: Non-SPDX

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

kandi X-RAY | awesome-python Summary

awesome-python is a Python library. awesome-python has no bugs, it has no vulnerabilities and it has low support. However awesome-python build file is not available and it has a Non-SPDX License. You can download it from GitLab.

A curated list of awesome Python frameworks, libraries, software and resources.

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Quality

Security

License

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Support

awesome-python 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.

awesome-python has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of awesome-python is current.

Quality

awesome-python has no bugs reported.

Security

awesome-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

awesome-python has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

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

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awesome-python Key Features

No Key Features are available at this moment for awesome-python.

awesome-python Examples and Code Snippets

No Code Snippets are available at this moment for awesome-python.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install awesome-python

You can download it from GitLab.
You can use awesome-python 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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