Cloudimage vs Pillow
Overview
🔥 Trending in Image Optimization on StackShare
Detailed Comparison
It adds image processing capabilities to your Python interpreter. It provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities. | Effortless image resizing, optimization and CDN delivery. Make your site fully responsive and really fast. |
Image processing;
Extensive file format support | 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 |
Statistics | |
GitHub Stars 13.2K | GitHub Stars - |
GitHub Forks 2.4K | GitHub Forks - |
Stacks 757 | Stacks 9 |
Followers 8 | Followers 27 |
Votes 0 | Votes 13 |
Pros & Cons | |
No community feedback yet | Pros
|
Integrations | |
| No integrations available | |
What are some alternatives to Pillow, Cloudimage?
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.
