scikit-image vs Caire

Overview

scikit-image

Stacks311

Followers129

Votes12

GitHub Stars6.4K

Forks2.3K

Caire

Stacks0

Followers5

Votes1

GitHub Stars10.4K

Forks385

Caire vs scikit-image: What are the differences?

What is Caire? Content aware image resize library. A content aware image resize library based on the Seam Carving for Content-Aware Image Resizing paper.

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

Caire and scikit-image belong to "Image Processing and Management" category of the tech stack.

Some of the features offered by Caire are:

Customizable command line support
Support for both shrinking or enlarging the image
Resize image both vertically and horizontally

On the other hand, scikit-image provides the following key features:

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

Caire and scikit-image are both open source tools. Caire with 8.93K GitHub stars and 311 forks on GitHub appears to be more popular than scikit-image with 3.1K GitHub stars and 1.31K GitHub forks.

🔥 Trending in Image Optimization on StackShare

FFMPEG Image Optimization

The universal multimedia toolkit.

Try it View Docs Alternatives

Try

2

260

Detailed Comparison

scikit-image	Caire
scikit-image is a collection of algorithms for image processing.	A content aware image resize library based on the Seam Carving for Content-Aware Image Resizing paper
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	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 6.4K	GitHub Stars 10.4K
GitHub Forks 2.3K	GitHub Forks 385
Stacks 311	Stacks 0
Followers 129	Followers 5
Votes 12	Votes 1
Pros & Cons
Pros 6 More powerful 4 Anaconda compatibility 2 Great documentation	Pros 1 Open Source

What are some alternatives to scikit-image, 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.

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.

FFMPEG

The universal multimedia toolkit.

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.