cc98api | CC98 V2 API

by zjuchenyuan Python Version: Current License: GPL-3.0

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

kandi X-RAY | cc98api Summary

cc98api is a Python library. cc98api has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However cc98api build file is not available. You can download it from GitHub.

CC98 V2 API

Support

Quality

Security

License

Reuse

Support

cc98api has a low active ecosystem.

It has 16 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 580 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cc98api is current.

Quality

cc98api has no bugs reported.

Security

cc98api has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

cc98api 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

cc98api releases are not available. You will need to build from source code and install.

cc98api has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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cc98api Key Features

No Key Features are available at this moment for cc98api.

cc98api Examples and Code Snippets

No Code Snippets are available at this moment for cc98api.

Community Discussions

No Community Discussions are available at this moment for cc98api.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install cc98api

You can download it from GitHub.
You can use cc98api 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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