DjangoCSV | Test project to manipulate CSV files

by sh-mykola Python Version: v1.1.2 License: No License

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

kandi X-RAY | DjangoCSV Summary

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

Test project to manipulate CSV files

Support

Quality

Security

License

Reuse

Support

DjangoCSV has a low active ecosystem.

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

It had no major release in the last 12 months.

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

It has a neutral sentiment in the developer community.

The latest version of DjangoCSV is v1.1.2

Quality

DjangoCSV has no bugs reported.

Security

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

License

DjangoCSV 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

DjangoCSV releases are available to install and integrate.

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

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DjangoCSV Key Features

No Key Features are available at this moment for DjangoCSV.

DjangoCSV Examples and Code Snippets

No Code Snippets are available at this moment for DjangoCSV.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install DjangoCSV

You can download it from GitHub.
You can use DjangoCSV 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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