Open-source alternatives to FastImageCache

HanekeSwift is a generic caching library for iOS and a specialized image caching framework. It provides a multi-level system that stores arbitrary data types in memory and on persistent disk storage to reduce network requests. The project features a specialized image handler that manages asynchronous loading, resizing, and disk storage for user interface components. It includes a background retrieval system that fetches remote content and automatically populates local caches. The library covers key-value data storage with sequential fallbacks, where it checks memory, then disk, and finally r

PINRemoteImage is an image downloading and caching framework for iOS. It functions as a remote image loader and multi-threaded manager designed to fetch images from URLs and render them into user interfaces. The project includes specialized decoders for rendering GIF and Animated WebP formats. It also features a progressive JPG renderer that displays scans with blur effects to improve perceived loading speed on slow connections. The library manages concurrent download tasks with request deduplication and utilizes a hybrid memory and disk caching system. It handles high-resolution asset scali

SDWebImage is an asynchronous image loading library for iOS that provides a framework for fetching, decoding, and caching images. It consists of a core loading library, a decoding engine, a processing pipeline, and a caching system designed to reduce network traffic and improve load times. The project features a two-tier caching architecture that stores assets in both volatile memory and persistent disk storage. It distinguishes itself through a modular loader pattern and a plugin-based decoding system, which allow for the integration of custom storage engines and the support of non-standard

This is a Glide image transformation library for Android that provides a collection of image processing filters and shapes. It functions as a suite of hardware-accelerated tools for image cropping, artistic filtering, and transformation pipeline management. The project distinguishes itself through an image filter pipeline that allows for sequential transformation chaining, enabling multiple visual effects and color modifications to be applied in a single pass. It utilizes GPU acceleration to implement artistic effects such as pixelation, sketching, and blur. The library covers a broad range

GPUImage2 is a Swift framework for applying real-time filters and effects to images and video using the GPU. It provides a real-time video filter library, an image geometry manipulation engine, and an OpenGL shading pipeline for processing visual data on graphics hardware. The framework enables the construction of visual effect pipelines by chaining image sources to consumers in sequential flows. It supports the development of custom fragment and vertex shaders for bespoke image processing and offers the ability to bundle these operations into reusable units via graph-based grouping. Capabil

vtracer is a raster to SVG converter and image vectorization pipeline. It transforms high-resolution scans and pixel-based images into scalable vector graphics by tracing shapes and colors. The tool includes a specialized pixel art vectorizer that converts low-resolution raster graphics into vector shapes while preserving a pixelated aesthetic. It also functions as a Bezier curve fitting tool to simplify dense point sets into smooth curves, reducing the complexity of vector paths. The project covers large scale image vectorization for gigapixel-scale data, color clustering and patch segmenta

Jimp is a JavaScript image processing library and Node.js manipulation tool designed to perform image transformations and edits entirely within a JavaScript environment. It is a zero-dependency image library that operates without requiring native binaries or external system software dependencies. The project provides a programmatic interface for automated image transformations, including resizing, cropping, and filtering. It supports the creation of custom image pipelines and server-side image editing by processing data without relying on native system tools.

Thumbor is a dynamic image processing service and proxy server that resizes, crops, and filters images on demand via URL parameters. It functions as a URL-based image manipulator that generates specific image versions from source assets to optimize web delivery. The system includes a smart cropping engine that uses facial feature detection and computer vision to automatically center thumbnails on the most relevant visual content. To prevent unauthorized parameter tampering and malicious requests, it employs signature-based request validation and domain-based source whitelisting. Broad capabi

LMCache is a distributed key-value cache manager and tiering system designed to accelerate large language model inference. It functions as a tiered storage layer that offloads tensors from GPU memory to CPU RAM, local disks, or remote object stores, enabling the reuse of cached prefixes across different inference sessions and serving engines. The system differentiates itself through a disaggregated prefill-decode model, which separates prompt processing from token generation by transferring caches between distributed compute nodes. It utilizes peer-to-peer orchestration to share and retrieve

Advanced framework for loading, caching, processing, displaying and preheating images.

Makes dealing with images buttery smooth.

Twitter Image Pipeline is a robust and performant image loading and caching framework for iOS clients

Kingfisher is a library for downloading, caching, and displaying remote images in Swift applications. It provides an integrated framework that manages the entire lifecycle of remote assets, from initial network retrieval to final rendering within user interface components. The library distinguishes itself through a two-tiered storage mechanism that balances rapid access via volatile memory with persistent availability through disk caching. It features a modular processing pipeline that allows for dynamic image transformations, such as applying filters or geometric modifications, during the re

:woman: Library for image processing

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Cropper is a JavaScript image cropping library and HTML5 canvas image editor. It serves as a web-based image manipulation tool that allows users to visually select and trim specific areas of an image directly within a browser. The library provides a visual interface for defining precise crop areas with configurable aspect ratios and zoom controls. It includes tools to rotate, scale, and zoom images to align subjects before exporting the final result. The tool handles browser-based image processing by generating a canvas element from a selected image area for use or download. It manages crop

YYWebImage

Pica is a client-side utility for browser-based image scaling, format transformation, and file optimization. It functions as a canvas image processor that transforms data between canvas elements, bitmaps, and blobs for local manipulation within the web browser. The library distinguishes itself through high-quality downscaling using Lanczos resampling and a multi-threaded processing model. It utilizes web workers to split image processing into tiles across CPU cores to increase resizing speed. The project covers a broad range of image manipulation capabilities, including high-quality scaling

Nuke is an image loading system designed to fetch, cache, and render images and short video clips within a user interface. It functions as an asset caching engine and a resumable download manager to handle the retrieval of remote media files. The framework includes a request priority manager to coordinate duplicate requests and order loading based on visual importance. It employs an image prefetching strategy to load visuals into memory before they are required and uses an LRU asset cache to reduce network traffic. The system covers broader capabilities in traffic management and data storage

Glide is an image loading and caching library for Android that fetches and decodes images, GIFs, and video stills from local or remote sources. It functions as a media rendering framework and memory management tool designed to resize and downsample assets to fit specific view dimensions. The system prioritizes scrolling performance through a multi-level caching strategy that stores decoded media in memory and raw data on disk. It employs resource pooling to reuse bitmap memory and binds image loading tasks to component lifecycles to automatically release resources and prevent memory leaks. T

LMDB is an embedded key-value storage engine that provides ACID-compliant data persistence. It is a memory-mapped database that utilizes B+ trees to store key-value pairs, ensuring atomicity, consistency, isolation, and durability. The engine maps files directly into the virtual address space to minimize data copying and system calls. This approach enables high-performance local caching and low-latency data access, specifically optimizing for read-heavy database workflows. The system implements a transactional model with copy-on-write versioning and single-writer multi-reader locking. These

Lychee is a self-hosted photo management system and PHP web application designed for organizing, browsing, and sharing personal photo collections. It functions as a dockerized media server that provides a web interface for uploading and managing images independently of commercial cloud services. The system features an integrated image processing pipeline that automatically generates responsive thumbnails and applies watermarks during the upload process. It supports remote media migration through integration with the Dropbox API and allows for the synchronization of existing server directories

This project is an automated machine learning framework and toolkit designed for training and tuning custom models for classification, regression, and recommendations. It functions as a multimodal machine learning toolkit capable of processing and training models using a combination of text, image, audio, and sensor data. The framework distinguishes itself as a multimodal data processor that can handle and visualize large datasets on a single machine using column-oriented disk storage. It includes a core machine learning model generator that converts trained models into formats compatible wit

Jimp is a zero-dependency JavaScript image processing library and programmatic editor designed for manipulating, resizing, and filtering images in Node.js. It functions as a multi-format image encoder and extensible pipeline that operates entirely in JavaScript to ensure portable deployment across different environments without requiring native system dependencies. The engine features a modular architecture that allows for custom image processor builds and the registration of custom processing plugins. This extensibility enables the addition of specific visual effects and custom file-type enc

This is a high-performance image component and native caching library for mobile applications. It provides tools for image optimization and asset preloading to reduce visual flicker and increase loading speeds. The project differentiates itself through a mobile asset preloader that downloads remote images into a local cache before they are requested. It also includes a system for assigning loading priority levels to ensure critical visual assets are fetched first and supports remote asset authentication by attaching custom HTTP headers to requests. The library covers a broad range of capabil

FastDev4Android is an all-in-one development framework for building Android applications. It accelerates app creation by integrating networking, data parsing, dependency injection, image loading, and UI components into a single workflow, bundling these capabilities to speed up mobile app development. The framework provides annotation-driven dependency injection that automatically wires components, views, event handlers, and threading into Android components at compile time. It implements the Model-View-Presenter (MVP) pattern to separate data, UI, and business logic into distinct layers for i

Dice is a low-latency key-value store based on Valkey that functions as a hierarchical storage engine. It combines a high-speed memory store with a tiered cache system to manage data across multiple storage levels. The system extends memory capacity by implementing a disk-backed cache that automatically persists evicted items to disk and restores them during cache misses. This storage tiering balances retrieval speed and operational cost by distributing data between fast memory and slower disk storage. The engine includes a query subscription service that monitors specific data patterns and