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Zlib - 高效通用的数据压缩库

A high-performance, general-purpose lossless data compression library. Provides functions for compressing and decompressing data streams, crucial for reducing data size in various applications.

C
Added on 2025年6月7日
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Zlib - 高效通用的数据压缩库 preview
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Project Introduction

Summary

This project is a widely used open-source library offering functions for lossless data compression and decompression. It's designed for high speed and portability, making it suitable for use on virtually any computer hardware and operating system.

Problem Solved

Data size and transfer bandwidth are critical concerns in many applications. Large data increases storage costs, transmission times, and processing overhead. This library solves these problems by providing a robust method to significantly reduce data size without any loss of information.

Core Features

Lossless Data Compression

Efficiently reduces the size of data streams using deflation algorithm.

Fast Decompression

Rapidly restores compressed data to its original state.

Adjustable Compression Levels

Supports various levels of compression, allowing balance between compression ratio and speed.

Tech Stack

C
Assembly (optional)
Standard Library

使用场景

The library is versatile and can be applied in numerous scenarios where reducing data size is beneficial.

网络传输优化 (HTTP Compression)

Details

Compressing web content before sending it to a browser to speed up page load times and save bandwidth.

User Value

Faster web pages, reduced data transfer costs.

软件安装与分发

Details

Reducing the size of software installation packages or application bundles.

User Value

Smaller download sizes, quicker installation.

文件存档与备份

Details

Compressing files and directories for archiving or backup purposes to save disk space.

User Value

Significantly reduced storage requirements for backups and archives.

数据库与缓存优化

Details

Compressing data stored in databases or caches to optimize storage usage and improve retrieval performance.

User Value

Higher data density in storage, potentially faster I/O.

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