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  1. Stackups
  2. Application & Data
  3. Image Optimization
  4. Image Processing And Management
  5. Coolors vs dicom

Coolors vs dicom

OverviewComparisonAlternatives

Overview

Coolors
Coolors
Stacks8
Followers8
Votes0
GitHub Stars29
Forks1
dicom
dicom
Stacks23
Followers10
Votes0
GitHub Stars1.0K
Forks148

dicom vs Coolors: What are the differences?

What is 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.

What is Coolors? The super fast color schemes generator. It is a fast and easy tool that let you generate beautiful color palettes.

dicom and Coolors can be categorized as "Image Processing and Management" tools.

dicom and Coolors are both open source tools. dicom with 355 GitHub stars and 17 forks on GitHub appears to be more popular than Coolors with 23 GitHub stars and 1 GitHub forks.

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Detailed Comparison

Coolors
Coolors
dicom
dicom

It is a fast and easy tool that let you generate beautiful color palettes.

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.

Fast and simple; Image to colors; Adjust and refine; Palettes collection
high-performance
Statistics
GitHub Stars
29
GitHub Stars
1.0K
GitHub Forks
1
GitHub Forks
148
Stacks
8
Stacks
23
Followers
8
Followers
10
Votes
0
Votes
0
Integrations
InVision
InVision
Shopify
Shopify
Adobe Photoshop
Adobe Photoshop
Adobe Dreamweaver
Adobe Dreamweaver
Adobe Illustrator
Adobe Illustrator
Adobe XD
Adobe XD
Nuclio
Nuclio
Golang
Golang
Docker
Docker

What are some alternatives to Coolors, dicom?

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.

scikit-image

scikit-image

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

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.

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