6 Repos
Compression techniques optimized for immediate throughput and low latency in streaming scenarios.
Distinct from Data Compression Algorithms: Specifically focuses on the real-time latency and throughput requirements rather than just general storage reduction.
Explore 6 awesome GitHub repositories matching data & databases · Real-Time Compression. Refine with filters or upvote what's useful.
Zstandard is a lossless data compression library and archive format designed for high compression ratios and fast real-time processing. It functions as a real-time data compressor and multi-threaded compression engine capable of distributing workloads across multiple CPU cores to increase throughput. The system features a dictionary-based compressor that trains on sample data to improve the compression ratio and speed of small files. It also provides long distance pattern matching to identify repeated sequences across large files. The library covers a broad range of capabilities including st
Offers real-time compression algorithms that balance immediate throughput with high compression ratios for data streams.
This project provides a lossless compression algorithm and a byte-oriented compression library designed for high-speed data reduction and maximum decompression speed. It functions as a stream-oriented compression engine, a software library for encoding and decoding data blocks, and a command-line tool for managing interoperable compressed frames. The system distinguishes itself through the use of predefined pattern dictionaries to improve compression ratios for small data sets and small packets. It supports multiple processing modes, including high-speed block compression for minimal latency
Reduces data size with minimal latency to maintain high throughput in performance-critical applications.
Snappy is a high-performance lossless compression library implemented in C++. It provides data reduction methods that perfectly restore original information, focusing on system-level efficiency and processing velocity across different platforms. The library prioritizes high-speed data compression and decompression over achieving the maximum possible compression ratio. It is designed for real-time stream compression to reduce bandwidth usage without introducing significant processing latency. The implementation covers high-velocity data shrinking and rapid restoration. It includes resilient d
Optimizes compression for immediate throughput and low latency in real-time streaming scenarios.
Caesium is an image compression tool that reduces file sizes for JPG, PNG, WebP, and TIFF images while preserving visual quality and metadata. It operates as a cross-platform desktop application with a graphical interface, a command-line tool for scripting and automation, and a web-based interface for browser uploads, all supporting batch processing of multiple images at once. The tool distinguishes itself by offering multiple interaction modes — desktop, terminal, and web — each capable of handling the same core compression tasks. It preserves folder structure when saving compressed images,
Show the output quality instantly as settings are adjusted before saving the compressed files.
Compressorjs is a client-side image compression library that reduces file sizes in the browser before upload, using the HTML Canvas API to re-encode images into smaller File or Blob objects. It supports JPEG, PNG, and WebP formats, with configurable quality and dimension controls to balance file size and visual fidelity. The library distinguishes itself through several integrated capabilities. It reads Exif orientation metadata from JPEG images and automatically rotates or flips the canvas to ensure correct display after compression. An AbortController integration allows cancellation of an in
Allows setting a quality value between 0 and 1 to control the compression level of the output image.
This project is a collection of Go libraries designed to reduce the size of multiple web formats while preserving functional integrity. It serves as a high-performance text processor and multi-format asset compressor for shrinking HTML, CSS, JavaScript, JSON, SVG, and XML files by removing redundant characters. The tool is designed for both static batch processing and real-time use. It includes middleware capabilities to intercept and minify web responses on the fly based on MIME types or file extensions, allowing for content compression during active data streams. The processing suite cover
Provides real-time compression of web resources via middleware that shrinks files on the fly based on content type.