cax | Simple data management tool

by XENON1T Python Version: v6.0 License: ISC

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

kandi X-RAY | cax Summary

cax is a Python library. cax 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.

Simple data management tool

Support

Quality

Security

License

Reuse

Support

cax has a low active ecosystem.

It has 1 star(s) with 2 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 12 open issues and 39 have been closed. On average issues are closed in 90 days. There are 12 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cax is v6.0

Quality

cax has no bugs reported.

Security

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

License

cax is licensed under the ISC License. This license is Permissive.

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

Reuse

cax releases are available to install and integrate.

Build file is available. You can build the component from source.

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cax Key Features

No Key Features are available at this moment for cax.

cax Examples and Code Snippets

No Code Snippets are available at this moment for cax.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install cax

You can download it from GitHub.
You can use cax 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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