scikit-image vs ImageBoss

Overview

scikit-image

Stacks311

Followers129

Votes12

GitHub Stars6.4K

Forks2.3K

ImageBoss

Stacks15

Followers23

Votes3

ImageBoss vs scikit-image: What are the differences?

Developers describe ImageBoss as "On-demand content aware image processing API". Content aware image resizing, cropping, compression, cache and globally deliver. All web development best practices, hassle free in one simple and powerful API. On the other hand, scikit-image is detailed as "Image processing in Python". scikit-image is a collection of algorithms for image processing.

ImageBoss and scikit-image can be primarily classified as "Image Processing and Management" tools.

Some of the features offered by ImageBoss are:

Perfect Thumbnails - ImageBoss identifies the content of your image and, in case we need to crop it to accomodate your dimensions, we make sure that the soul of the image won't be lost on the process.
Fast delivery, every time - Every time you generate a new image it gets copied to hundreds of servers across the world so your users can download your images at maximum speed.
Fast image loading - ImageBoss uses the best algorithms available for image manipulation taking the all the juice we can get during calculations and image manipulations. Also, all your PNG and JPG images with progressive scans technology with the best compression techonology available.

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

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	ImageBoss
scikit-image is a collection of algorithms for image processing.	Content aware image resizing, cropping, compression, cache and globally deliver. All web development best practices, hassle free in one simple and powerful API.
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	Perfect Thumbnails - ImageBoss identifies the content of your image and, in case we need to crop it to accomodate your dimensions, we make sure that the soul of the image won't be lost on the process.;Fast delivery, every time - Every time you generate a new image it gets copied to hundreds of servers across the world so your users can download your images at maximum speed.;Fast image loading - ImageBoss uses the best algorithms available for image manipulation taking the all the juice we can get during calculations and image manipulations. Also, all your PNG and JPG images with progressive scans technology with the best compression techonology available.;Don't worry about code - Not a single line of code necessary. We download your images on-demand and all transformations are supported directly using URL parameters.
Statistics
GitHub Stars 6.4K	GitHub Stars -
GitHub Forks 2.3K	GitHub Forks -
Stacks 311	Stacks 15
Followers 129	Followers 23
Votes 12	Votes 3
Pros & Cons
Pros 6 More powerful 4 Anaconda compatibility 2 Great documentation	Pros 2 It's the cheapest service to have responsive images
Integrations
No integrations available	WordPress Node.js Rails Webpack JavaScript Ruby ES6 Browserify WooCommerce Webpacker

What are some alternatives to scikit-image, ImageBoss?

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.