Cloudimage vs dicom | What are the differences? | StackShare

Cloudimage vs dicom

Overview

Cloudimage

Stacks9

Followers27

Votes13

dicom

Stacks23

Followers10

Votes0

GitHub Stars1.0K

Forks148

Cloudimage vs dicom: What are the differences?

Cloudimage: Image Resizing and Website Acceleration Made Easy. Resize, store, and deliver your images to your customers with a powerful CDN; dicom: A High Performance DICOM Medical Image Parser in Go. It is a golang DICOM image parsing library and command line tool. Its features include parsing and extracting multi-frame DICOM imagery (both encapsulated and native pixel data), exposing a Parser golang interface to make mock-based testing easier for clients etc.

Cloudimage and dicom can be primarily classified as "Image Processing and Management" tools.

dicom is an open source tool with 344 GitHub stars and 17 GitHub forks. Here's a link to dicom's open source repository on GitHub.

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Detailed Comparison

Cloudimage	dicom
Effortless image resizing, optimization and CDN delivery. Make your site fully responsive and really fast.	It is a golang DICOM image parsing library and command line tool. Its features include parsing and extracting multi-frame DICOM imagery (both encapsulated and native pixel data), exposing a Parser golang interface to make mock-based testing easier for clients etc.
Image resizing and transformation; Image caching; Background removal; Watermarking; Service reliability; DDoS protection; Image signature; Custom domain name; Flexible cloud storage; Website plugins; Wordpress plugin; Version control; Analysis and reporting; Configurable admin tools; Mobile friendly; Responsive images plugin; Static file optimization; 360 image maker; Real time optimization; Network of CDNs	high-performance
Statistics
GitHub Stars -	GitHub Stars 1.0K
GitHub Forks -	GitHub Forks 148
Stacks 9	Stacks 23
Followers 27	Followers 10
Votes 13	Votes 0
Pros & Cons
Pros 3 Free tier 2 Fast image delivery 2 Image editing with url parameters 2 Easy to optimize images and load it fast 2 Smart cropping	No community feedback yet
Integrations
Python AWS CloudTrail Ruby WooCommerce JavaScript Rails Golang React WordPress Shopify	Golang Docker

What are some alternatives to Cloudimage, dicom?

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.

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.

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.