ImageBoss vs dicom
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Content aware image resizing, cropping, compression, cache and globally deliver. All web development best practices, hassle free in one simple and powerful API. | 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. |
Perfect Thumbnails - ImageBoss identifies the content of your image and, in case we need to crop it to accomodate your dimensions, we make sure that the soul of the image won't be lost on the process.;Fast delivery, every time - Every time you generate a new image it gets copied to hundreds of servers across the world so your users can download your images at maximum speed.;Fast image loading - ImageBoss uses the best algorithms available for image manipulation taking the all the juice we can get during calculations and image manipulations. Also, all your PNG and JPG images with progressive scans technology with the best compression techonology available.;Don't worry about code - Not a single line of code necessary. We download your images on-demand and all transformations are supported directly using URL parameters. | high-performance |
Statistics | |
GitHub Stars - | GitHub Stars 1.0K |
GitHub Forks - | GitHub Forks 148 |
Stacks 15 | Stacks 23 |
Followers 23 | Followers 10 |
Votes 3 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
What are some alternatives to ImageBoss, 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.
