img-to-excel | handy script for converting pictures

by mfreeborn Python Version: Current License: MIT

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

kandi X-RAY | img-to-excel Summary

img-to-excel is a Python library. img-to-excel 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.

A handy script for converting pictures into spreadsheets, where each cell is a subpixel

Support

Quality

Security

License

Reuse

Support

img-to-excel 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 6 months.

img-to-excel has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of img-to-excel is current.

Quality

img-to-excel has no bugs reported.

Security

img-to-excel has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

img-to-excel 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

img-to-excel 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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img-to-excel Key Features

No Key Features are available at this moment for img-to-excel.

img-to-excel Examples and Code Snippets

No Code Snippets are available at this moment for img-to-excel.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install img-to-excel

You can download it from GitHub.
You can use img-to-excel 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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