Imgur vs dicom

Overview

Imgur

Stacks58

Followers24

Votes1

dicom

Stacks23

Followers10

Votes0

GitHub Stars1.0K

Forks148

dicom vs Imgur: What are the differences?

Developers describe dicom as "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. On the other hand, Imgur is detailed as "Discover, upload, or create images". It is the best place to share and enjoy the most awesome images on the Internet. Every day, millions of people use Imgur to be entertained and inspired by funny, heartwarming and helpful images and stories from all around the world.

dicom and Imgur belong to "Image Processing and Management" category of the tech stack.

dicom is an open source tool with 347 GitHub stars and 17 GitHub forks. Here's a link to dicom's open source repository on GitHub.

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CLI (Node.js)

Manual

Detailed Comparison

Imgur	dicom
It is the best place to share and enjoy the most awesome images on the Internet. Every day, millions of people use Imgur to be entertained and inspired by funny, heartwarming and helpful images and stories from all around the world.	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.
Phone Verification; Reaction GIFs and Autoexpand on Desktop; Video and Sound on Imgur; A New Look for the Imgur Homepage	high-performance
Statistics
GitHub Stars -	GitHub Stars 1.0K
GitHub Forks -	GitHub Forks 148
Stacks 58	Stacks 23
Followers 24	Followers 10
Votes 1	Votes 0
Pros & Cons
Pros 1 Free Cons 1 Commonly used	No community feedback yet
Integrations
JavaScript Golang Java Python Swift	Golang Docker

What are some alternatives to Imgur, 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.

Cloudimage

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

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.