kandi X-RAY | pafy Summary
kandi X-RAY | pafy Summary
pafy is a Python library. pafy has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can download it from GitHub.
pafy
pafy
Support
Quality
Security
License
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Support
pafy has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
pafy has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pafy is current.
Quality
pafy has no bugs reported.
Security
pafy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
pafy 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
pafy 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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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of pafy
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of pafy
pafy Key Features
No Key Features are available at this moment for pafy.
pafy Examples and Code Snippets
No Code Snippets are available at this moment for pafy.
Community Discussions
No Community Discussions are available at this moment for pafy.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pafy
You can download it from GitHub.
You can use pafy 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.
You can use pafy 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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