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  1. Stackups
  2. Application & Data
  3. Image Optimization
  4. Image Processing And Management
  5. Piio vs scikit-image

Piio vs scikit-image

OverviewComparisonAlternatives

Overview

scikit-image
scikit-image
Stacks311
Followers129
Votes12
GitHub Stars6.4K
Forks2.3K
Piio
Piio
Stacks4
Followers18
Votes4

Piio vs scikit-image: What are the differences?

Developers describe Piio as "Generates responsive images so you don't have to optimize". Piio automatically generates real-time responsive images for your website visitors and delivers them at maximum speed. (lazy loading feature included). On the other hand, scikit-image is detailed as "Image processing in Python". scikit-image is a collection of algorithms for image processing.

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

Some of the features offered by Piio are:

  • Cross device experience - Don’t worry about multiple resolutions or mobile devices, Piio automatically loads the best image for each device.
  • Automatic Responsive Images - We learn from your html and deliver pixel perfect images, they don't only load faster but they'll look better.
  • CDN Deliver - With worldwide reach, our CDN provides low latency and faster download times.

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
scikit-image
Piio
Piio

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

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.

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
Piio's technology can be very effective for your website's user experience, and it can help you improve your main web KPIs. Our most successful clients achieved significant improvements in their main KPIs as decreasing bounce rate, 5x faster page load, and a 31% increase in revenue (results measured through AB testing in collaboration with Piio).
Statistics
GitHub Stars
6.4K
GitHub Stars
-
GitHub Forks
2.3K
GitHub Forks
-
Stacks
311
Stacks
4
Followers
129
Followers
18
Votes
12
Votes
4
Pros & Cons
Pros
  • 6
    More powerful
  • 4
    Anaconda compatibility
  • 2
    Great documentation
Pros
  • 2
    Dramatically increased site speed and easy integration
  • 1
    Wordpress Plugin
  • 1
    Edge Web Accelerator
Integrations
No integrations available
Angular
Angular
Vue.js
Vue.js
WordPress
WordPress
React
React
Amazon S3
Amazon S3
JavaScript
JavaScript
HTML5
HTML5
jQuery
jQuery
NetSuite
NetSuite

What are some alternatives to scikit-image, Piio?

Cloudinary

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

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

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

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

Cloudimage

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

Kraken.io

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

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

FFMPEG

The universal multimedia toolkit.

GStreamer

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

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.

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