FFMPEG vs Caire | What are the differences? | StackShare

Caire vs. FFMPEG

Overview

FFMPEG

Stacks417

Followers260

Votes5

Caire

Stacks0

Followers5

Votes1

GitHub Stars10.4K

Forks385

Caire vs FFMPEG: What are the differences?

Developers describe Caire as "Content aware image resize library". A content aware image resize library based on the Seam Carving for Content-Aware Image Resizing paper. On the other hand, FFMPEG is detailed as "The universal multimedia toolkit". The universal multimedia toolkit.

Caire and FFMPEG belong to "Image Processing and Management" category of the tech stack.

Caire is an open source tool with 8.93K GitHub stars and 311 GitHub forks. Here's a link to Caire's open source repository on GitHub.

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FFMPEG Image Optimization

The universal multimedia toolkit.

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Detailed Comparison

FFMPEG	Caire
The universal multimedia toolkit.	A content aware image resize library based on the Seam Carving for Content-Aware Image Resizing paper
-	Customizable command line support; Support for both shrinking or enlarging the image; Resize image both vertically and horizontally; Can resize all the images from a directory; Does not require any third party library; Use of sobel threshold for fine tuning; Use of blur filter for increased edge detection
Statistics
GitHub Stars -	GitHub Stars 10.4K
GitHub Forks -	GitHub Forks 385
Stacks 417	Stacks 0
Followers 260	Followers 5
Votes 5	Votes 1
Pros & Cons
Pros 5 Open Source	Pros 1 Open Source

What are some alternatives to FFMPEG, Caire?

Cloudinary

Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.

imgix

imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters.

OpenCV

OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.

ImageKit

ImageKit offers a real-time URL-based API for image & video optimization, streaming, and 50+ transformations to deliver perfect visual experiences on websites and apps. It also comes integrated with a Digital Asset Management solution.

Cloudimage

Effortless image resizing, optimization and CDN delivery. Make your site fully responsive and really fast.

scikit-image

scikit-image is a collection of algorithms for image processing.

Kraken.io

It supports JPEG, PNG and GIF files. You can optimize your images in two ways - by providing an URL of the image you want to optimize or by uploading an image file directly to its API.

ImageEngine

ImageEngine is an intelligent Image CDN that dynamically optimizes image content tailored to the end users device. Using device intelligence at the CDN edge, developers can greatly simplify their image management process while accelerating their site.

GStreamer

It is a library for constructing graphs of media-handling components. The applications it supports range from simple Ogg/Vorbis playback, audio/video streaming to complex audio (mixing) and video (non-linear editing) processing.

GraphicsMagick

GraphicsMagick is the swiss army knife of image processing. Comprised of 267K physical lines (according to David A. Wheeler's SLOCCount) of source code in the base package (or 1,225K including 3rd party libraries) it provides a robust and efficient collection of tools and libraries which support reading, writing, and manipulating an image in over 88 major formats including important formats like DPX, GIF, JPEG, JPEG-2000, PNG, PDF, PNM, and TIFF.