PowerPoint Presentation Rasterizer

I Use This!

Inactive

Analyzed about 11 hours ago. based on code collected about 11 hours ago.

Project Summary

Rasterization is a process of converting some vector data into images.

Rasterization of a presentation means converting it into a slideshow consisting of images of original slides.

You may want your presentation to look the same everywhere instead of being distorted. You may also want your presentation not to be editable by others to protect it from changes.

After you have rastized your presentation, you don't have to worry about all of this. Since it's roughly a set of pictures, it does not require any fonts, and the text and pictures on slides will not be distorted.

In a Nutshell, PowerPoint Presentation Rasterizer...

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has had 40 commits made by 1 contributors
representing 56 lines of code
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is mostly written in Python
with a low number of source code comments
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has a codebase with a very short history
maintained by nobody
with stable Y-O-Y commits
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took an estimated 1 years of effort (COCOMO model)
starting with its first commit in October, 2012
ending with its most recent commit over 13 years ago

Quick Reference

Project Links:

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Code Locations:

https://github.com/utapyngo/pptr...

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Managers:

utapyngo

This Project has No vulnerabilities Reported Against it

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