Xcel | django app to access uploaded * .xls file

by developer-aj Python Version: Current License: No License

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kandi X-RAY | Xcel Summary

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

django app to access uploaded *.xls file

Support

Quality

Security

License

Reuse

Support

Xcel 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.

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

It has a neutral sentiment in the developer community.

The latest version of Xcel is current.

Quality

Xcel has no bugs reported.

Security

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

License

Xcel does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

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Xcel Key Features

No Key Features are available at this moment for Xcel.

Xcel Examples and Code Snippets

No Code Snippets are available at this moment for Xcel.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Xcel

You can download it from GitHub.
You can use Xcel 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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