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GPUImage VS EDITLY

Compare GPUImage VS EDITLY and see what are their differences

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GPUImage logo GPUImage

GPUImage is an open source iOS framework for GPU-based image and video processing.

EDITLY logo EDITLY

Slick, declarative command line video editing & API
  • GPUImage Landing page
    Landing page //
    2023-10-21
  • EDITLY Landing page
    Landing page //
    2023-09-02

GPUImage videos

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Implementing a magnifying glass with GPUImage

EDITLY videos

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Category Popularity

0-100% (relative to GPUImage and EDITLY)

GPUImage

EDITLY

Image Processing
100 100%
Image Processing
0% 0
Productivity
0 0%
Productivity
100% 100
Image Analysis
100 100%
Image Analysis
0% 0
Video
0 0%
Video
100% 100

User comments

Share your experience with using GPUImage and EDITLY. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, EDITLY seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

GPUImage mentions (0)

We have not tracked any mentions of GPUImage yet. Tracking of GPUImage recommendations started around Mar 2021.

EDITLY mentions (8)

  • Make Timelapse easily using FFmpeg
    I found https://github.com/mifi/editly to be an intuitive frontend for this type of task - I used it to create a montage of several clips and was able to easily adjust parameters around timestamps and such to get the montage perfect. - Source: Hacker News / 1 day ago
  • FFmpeg Lands CLI Multi-Threading as Its "Most Complex Refactoring" in Decades
    Sounds like you already have a process for most of this, but I found https://github.com/mifi/editly to be incredibly helpful to run ffmpeg and make my little time lapse video. Could be useful for others. - Source: Hacker News / 5 months ago
  • What are the pros and cons of declarative state vs. chainable APIs?
    For example, this declarative video editor lib has JSON configurations for defining an output video:. Source: 10 months ago
  • Create a video from images
    Maybe this tool helps: https://github.com/mifi/editly. Source: over 1 year ago
  • Rendering a video like THPS2 🛹
    You seem to misunderstand what ffmpeg is for - namely the stream conversion of media. Only limited filters are available. You can write your own shaders and use cli tools like https://github.com/mifi/editly for automation surely. Source: over 1 year ago
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What are some alternatives?

When comparing GPUImage and EDITLY, you can also consider the following products

IMG.LY - Power Your Apps with IMG.LY | The Leading Provider of Design, Photo, and Video Editing SDKs

Node Video - Most powerful video editing app ever

Jimp - Jimp is an image processing library written entirely in JavaScript for Node.

Kamua - Automate video resizing, cut-downs & captions for social

Pixolution - Pixolution is an AI powered visual search engine, with custom training for specific image collections.

Flo - Voice based video editing app powered by A.I & Deep Learning

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