Search Results for "fast performance"

Lilliput is a lightweight image codec and processing library tailored for environments where performance, portability, and resource efficiency are critical, such as gaming clients, real-time applications, or systems with constrained memory budgets. Designed to support fast decoding and manipulation of common image formats like PNG, JPEG, WebP, and BMP, Lilliput is engineered to minimize dependencies and be easily integrated into a variety of C/C++-based projects without pulling in heavy external libraries. ...

...Despite the number of features, the framework is lean and compiles in just under 3 seconds¹. Nuke has an automated test suite 2x the size of the codebase itself, ensuring excellent reliability. Every feature is carefully designed and optimized for performance. Fast LRU memory cache, native HTTP disk cache, and custom aggressive LRU disk cache. Customize image pipeline using built-in Alamofire, Gifu, FLAnimatedImage, WebP plugins or create your own. Enable progressive decoding with a single line of code. Nuke supports progressive JPEG out of the box, and WebP via a plugin built by the community. ...

Imagor is a fast, Docker-ready image processing server built in Go, ideal for on-the-fly image resizing, cropping, filtering, and optimization. It supports a wide variety of image formats and integrates seamlessly with cloud storage backends like AWS S3 and Google Cloud Storage. With support for HTTP and gRPC APIs, Imagor can be used in production environments to serve optimized images dynamically with high performance and low latency.

The typical use case for this high speed Node.js module is to convert large images in common formats to smaller, web-friendly JPEG, PNG, AVIF and WebP images of varying dimensions. Resizing an image is typically 4x-5x faster than using the quickest ImageMagick and GraphicsMagick settings due to its use of libvips. Colour spaces, embedded ICC profiles and alpha transparency channels are all handled correctly. Lanczos resampling ensures quality is not sacrificed for speed. As well as image...

Imaginary is a high-performance HTTP microservice for image processing written in Go and powered by bimg and libvips. It can run as a private or public service and is designed for large-scale, low-memory image workloads. Images can be supplied through POST bodies, local files, or remote URLs. Supported operations include resizing, cropping, rotation, conversion, watermarking, and other transformations exposed through a simple HTTP API. Optional protections include API tokens, signed URLs,...