FFMPEG vs scikit-image

Overview

scikit-image

Stacks311

Followers129

Votes12

GitHub Stars6.4K

Forks2.3K

FFMPEG

Stacks417

Followers260

Votes5

FFMPEG vs scikit-image: What are the differences?

What is FFMPEG? The universal multimedia toolkit. The universal multimedia toolkit.

What is scikit-image? Image processing in Python. scikit-image is a collection of algorithms for image processing.

FFMPEG and scikit-image can be categorized as "Image Processing and Management" tools.

scikit-image is an open source tool with 3.1K GitHub stars and 1.31K GitHub forks. Here's a link to scikit-image's open source repository on GitHub.

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Detailed Comparison

scikit-image	FFMPEG
scikit-image is a collection of algorithms for image processing.	The universal multimedia toolkit.
Provides I/O, filtering, morphology, transformations, measurement, annotation, color conversions, test data sets, etc.;Written in Python with a well-commented source code;Has had 5,709 commits made by 116 contributors representing 29,953 lines of code;Released under BSD-3-Clause license	-
Statistics
GitHub Stars 6.4K	GitHub Stars -
GitHub Forks 2.3K	GitHub Forks -
Stacks 311	Stacks 417
Followers 129	Followers 260
Votes 12	Votes 5
Pros & Cons
Pros 6 More powerful 4 Anaconda compatibility 2 Great documentation	Pros 5 Open Source

What are some alternatives to scikit-image, FFMPEG?

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.

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.

Piio

Piio, Inc. offers a superior set of products with the most advanced technology for image optimization and web performance. Piio is helping over 5000 companies and developers and delivering billions of images to users around the globe.