c3py | A Python wrapper around c3js

by harshil-shah Python Version: Current License: MIT

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

kandi X-RAY | c3py Summary

c3py is a Python library. c3py has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

#c3py A Python wrapper around c3js (##Installation sudo pip install git+git://github.com/h0s/c3py.git.

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Quality

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License

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Support

c3py has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

c3py has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of c3py is current.

Quality

c3py has no bugs reported.

Security

c3py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

c3py is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

c3py 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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c3py Key Features

No Key Features are available at this moment for c3py.

c3py Examples and Code Snippets

No Code Snippets are available at this moment for c3py.

Community Discussions

No Community Discussions are available at this moment for c3py.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install c3py

You can download it from GitHub.
You can use c3py 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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