Open-source alternatives to Zstd

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

7-Zip is a data compression tool and file archiver designed for creating and extracting archives. It functions as a utility for reducing the storage requirements of files and folders through high-ratio lossless compression and managing the 7z open-standard format. The software provides capabilities for cross-platform archive management, allowing users to open and create various archive formats across different operating systems. It supports data backup and recovery, as well as the packaging of multiple files into single archives for distribution. The project implements a variety of compressi

lz-string is a JavaScript library and command-line tool for compressing and decompressing string data using Lempel-Ziv algorithms. It provides utilities to reduce the size of strings and files to optimize storage and network bandwidth. The project includes specialized encoders to ensure compressed data is compatible with different transport layers. These include options for Base64 encoding, UTF-16 string mapping for increased storage density, and URI-safe translation for use in web addresses. The library supports client-side data compression for local storage optimization and provides a comm

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

Ouch is a command-line archive utility designed for compressing and decompressing files across multiple formats, including zip, tar, 7z, and zstd. It functions as a secure archive processor that sanitizes metadata to prevent path traversal attacks and terminal injection during extraction. The tool features a chain compression pipeline that allows for the sequential application of multiple compression algorithms by parsing chains of file extensions in a filename. It also includes a dedicated accessibility mode that optimizes terminal output for screen readers and text-to-speech technologies by

GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without

Fast In-Memory Data Compression Algorithm (header-only C/C++) 480+MB/s compress, 2800+MB/s decompress, ratio% better than LZ4, Snappy, and Zstd@-1

MNN is a high-performance inference engine and framework designed for on-device machine learning. It provides a comprehensive environment for executing, optimizing, and deploying neural network models directly on mobile and resource-constrained edge devices. The framework distinguishes itself through a robust model optimization toolkit that supports quantization, compression, and structural graph manipulation to minimize memory footprint and maximize execution speed. It features a modular architecture that abstracts hardware-specific backends, allowing models to run efficiently across diverse

jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti

The Android NDK samples provide a comprehensive collection of code examples demonstrating how to integrate C and C++ native code into Android applications. This repository serves as a practical guide for developers utilizing the Android Native Development Kit to implement performance-critical application components that require direct hardware access and low-level system interaction. The project highlights the use of the Java Native Interface to bridge managed code with native modules, enabling cross-language function calls and efficient data exchange. It demonstrates how to manage native act

gif.js is a JavaScript GIF encoder and client-side color quantizer that generates animated GIF files directly within the web browser. It functions as an HTML5 canvas exporter and image processor, allowing for the creation of animated images from web sources without the need for a backend server. The library utilizes web workers to offload heavy image encoding tasks to background threads, which prevents the browser user interface from freezing during the generation process. This architecture enables the tool to act as a web worker image processor for dynamic image generation. The system cover

Draco is a library and toolset for compressing, transcoding, and decoding 3D geometric meshes and point cloud data. Its primary purpose is to reduce storage size and transmission bandwidth for 3D assets. The project includes a geometry optimizer specifically for glTF file containers to reduce asset footprints. It also features a hardened decoder designed to process malformed or untrusted 3D geometric data safely to prevent memory corruption and crashes. The software covers a broad range of 3D data processing capabilities, including geometric data reconstruction, point attribute management, a

Inno Setup is an open-source script-driven installer generator for Windows. It transforms a plain-text script—written in a Pascal-derived scripting language—into a standalone executable that handles file installation, registry configuration, shortcut creation, and uninstall logic. The resulting installer is a self-extracting executable that compresses all payload files using LZMA compression, producing a compact and self-contained setup package. The tool distinguishes itself with a fully programmable Pascal-based scripting language, allowing developers to write custom logic, design custom wiz

This project is a collection of reference implementations for algorithms, mathematics, cryptography, compression, and machine learning written in C#. It serves as an educational library providing standard implementations of sorting, searching, and graph theory algorithms. The repository covers a wide range of computational domains, including combinatorial optimization for constraint satisfaction and scheduling, as well as symmetric and classical cryptographic ciphers. It also provides reference code for lossless data compression techniques and fundamental machine learning primitives such as r

TDengine is a distributed time-series database designed for the high-speed ingestion, compression, and retrieval of timestamped metrics and sensor data. It functions as a SQL-compatible analytics engine, allowing users to perform complex operations on massive volumes of time-ordered information using standard relational syntax. The platform is built to serve as a backend foundation for industrial IoT environments, managing real-time data streams and device metadata through a cluster-based architecture. The system distinguishes itself through a distributed sharding architecture that uses consi

Mozjpeg is a high-performance C library for encoding, decoding, and transcoding JPEG images. It serves as a binary-compatible, drop-in replacement for standard JPEG libraries, maintaining existing function signatures to improve compression efficiency without requiring changes to application logic. The library functions as an image optimizer that reduces file sizes through lossless progressive encoding and coefficient optimization. It utilizes trellis-based quantization and SIMD-accelerated processing to optimize the trade-off between visual quality and file size. Its broader capabilities inc

KasmVNC is a web-based VNC server and remote access solution that provides a secure gateway for accessing remote desktop environments through a web browser. It implements the Remote Frame Buffer protocol to transmit pixel data and serves as a secure remote access gateway with integrated user auditing and input controls. The project distinguishes itself through extensive hardware acceleration, using GPU-accelerated frame capture and graphics acceleration to support graphics-intensive tasks with low latency. It employs a multi-threaded compression pipeline and dynamic encoding negotiation to ma

This project is an educational suite and technical guide designed for mastering video codecs and signal processing. It provides a structured curriculum through an engineering course, interactive labs, and tutorials focused on the fundamental principles of video compression and digital signal processing. The resource includes a technical guide for analyzing specific codecs like AV1, VP9, and H.265. It distinguishes itself by providing a containerized media lab, which ensures a consistent development environment for experimenting with video technology tools and notebooks. The project covers a

This project is a comprehensive collection of common computer science algorithms and data structures implemented in Swift. It serves as an educational reference and library for studying computational complexity, algorithmic logic, and data structure engineering through practical code examples. The repository provides a wide suite of data structure implementations, including various types of linked lists, heaps, hash tables, and an extensive range of hierarchical trees such as Red-Black, B-Tree, and Splay trees. It also covers diverse sorting and searching techniques, from basic bubble sort to

PrivateBin is a self-hosted, zero-knowledge text hosting service and secret sharing tool. It utilizes browser-based AES 256-bit encryption to ensure that data is encrypted on the client side before transmission, meaning the hosting server cannot read or recover the original content. The project distinguishes itself by using URL fragments to distribute decryption keys, preventing the secret key from ever being sent to the server. It supports the distribution of both encrypted text and files, which are compressed and encrypted locally prior to storage. The platform includes capabilities for an

RocksDB is a high-performance, embeddable persistent key-value library and storage engine based on Log-Structured Merge-trees. It is designed to provide durable storage for large-scale datasets, integrating directly into applications to manage data on flash and RAM-based hardware. The engine is distinguished by its focus on minimizing read and write amplification through multi-threaded compaction and custom memory allocators. It features specialized optimizations for flash storage, including support for zoned block devices, and provides the ability to extend store behavior via external plugin

This project is a computer science educational resource and a library of common data structures and algorithms implemented in Swift. It serves as a practical reference for studying complexity and efficiency through solved algorithmic problems and conceptual guides. The collection includes implementations of linear and hierarchical data structures, such as stacks, queues, linked lists, and trees. It covers a wide range of computational patterns, including graph and pathfinding implementations, mathematical numerical methods, and data compression techniques. The project also provides implement

phpredis is a C-based native extension that bridges PHP applications with Redis servers for high-performance data storage and retrieval. It serves as an interface for manipulating strings, hashes, lists, sets, and sorted sets while providing a direct path for executing Redis commands and server-side scripts. The extension provides comprehensive support for distributed environments and high availability. It interfaces with Redis Cluster to distribute data across multiple nodes using hash slots and manages Redis Sentinel for service discovery and automatic failover. It also enables shared state

Starscream is a Swift WebSocket client library that provides a concrete implementation of the WebSocket protocol for iOS and macOS applications. It functions as an event-driven wrapper for establishing and managing bidirectional connections to send and receive text and binary frames over TCP. The library includes a secure WebSocket client capable of encrypting traffic and validating server identities. It manages the full connection lifecycle, from the initial handshake and header exchange to session termination with custom close codes. The project covers a broad range of networking capabilit

LevelDB is an embedded database library and persistent storage engine that provides a sorted key-value store. It uses a log-structured merge-tree architecture to map byte arrays to values, running directly within a process to provide storage without the need for a separate server process. The system is distinguished by its use of custom comparison functions to define key ordering, enabling efficient range scans and sequenced lookups. It ensures data reliability through atomic batch execution, consistent snapshot generation, and log-based recovery after failures. The engine covers broad capab

Iggy is a distributed message streaming platform and multi-protocol message broker that functions as a persistent distributed log store. It provides infrastructure for publishing and consuming binary messages using an append-only log, ensuring high availability and data consistency across nodes through Viewstamped Replication. The platform is distinguished by its specialized LLM streaming infrastructure, which uses a server protocol to connect large language models to streaming data and system controls. This includes standardized protocols for context management and data bridging via HTTP or

OceanBase is a distributed SQL database designed for high availability and strong consistency across multiple nodes and regions. It functions as a hybrid transactional and analytical processing engine, allowing real-time analytics and transactions to execute on a single data copy. The system also serves as a vector database engine for indexing and querying vector data to power semantic search and recommendation systems. The platform features native compatibility layers for MySQL and Oracle, enabling the migration of legacy workloads without rewriting SQL code. It utilizes a Paxos-based distri