Firesize vs Coolors

Overview

Firesize

Stacks0

Followers6

Votes0

GitHub Stars93

Forks36

Coolors

Stacks8

Followers8

Votes0

GitHub Stars29

Forks1

Firesize vs Coolors: What are the differences?

Firesize: On the fly image resizing. No code required. Built-in CDN. Firesize is a hosted image processing proxy. It's focused on doing one thing fast: resizing and cropping images on demand. It's a simple url based API allows you to quickly generate images on demand; Coolors: The super fast color schemes generator. It is a fast and easy tool that let you generate beautiful color palettes.

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

Some of the features offered by Firesize are:

Processing options specified via URL
URL signing (for security)
Process images from anywhere (no uploading to Firesize required)

On the other hand, Coolors provides the following key features:

Fast and simple
Image to colors
Adjust and refine

Firesize and Coolors are both open source tools. Firesize with 92 GitHub stars and 40 forks on GitHub appears to be more popular than Coolors with 23 GitHub stars and 1 GitHub forks.

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Detailed Comparison

Firesize	Coolors
Firesize is a hosted image processing proxy. It's focused on doing one thing fast: resizing and cropping images on demand. It's a simple url based API allows you to quickly generate images on demand.	It is a fast and easy tool that let you generate beautiful color palettes.
Processing options specified via URL;URL signing (for security);Process images from anywhere (no uploading to Firesize required);Local caching	Fast and simple; Image to colors; Adjust and refine; Palettes collection
Statistics
GitHub Stars 93	GitHub Stars 29
GitHub Forks 36	GitHub Forks 1
Stacks 0	Stacks 8
Followers 6	Followers 8
Votes 0	Votes 0
Integrations
Heroku	InVision Shopify Adobe Photoshop Adobe Dreamweaver Adobe Illustrator Adobe XD Nuclio

What are some alternatives to Firesize, Coolors?

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.