blink-cocoa | Unofficial blink-cocoa

by wilane Python Version: Current License: Non-SPDX

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

kandi X-RAY | blink-cocoa Summary

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

Unofficial blink-cocoa

Support

Quality

Security

License

Reuse

Support

blink-cocoa 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.

blink-cocoa has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of blink-cocoa is current.

Quality

blink-cocoa has no bugs reported.

Security

blink-cocoa has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

blink-cocoa 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

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

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

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blink-cocoa Key Features

No Key Features are available at this moment for blink-cocoa.

blink-cocoa Examples and Code Snippets

No Code Snippets are available at this moment for blink-cocoa.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install blink-cocoa

You can download it from GitLab.
You can use blink-cocoa 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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