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zstd
Zstandard is a high-performance lossless compression algorithm that provides real-time compression speeds with zlib-level or better compression ratios.
- Backend
- DevOps
- Productivity
- Library/framework
- CLI
- Windows
- macOS
- Linux
- Runs locally
- Docker supported
- Popularity
- 27.6k Stars
- GitHub stars
- Recent activity
- 8/23/2026
- Updated in the last 30 days
- License
- NOASSERTION
- Review the terms yourself
Why it matters
We look beyond stars: what problem it solves, whether it creates real utility, and what makes its approach worth noticing.
Problem
Addresses the trade-off between compression ratio and processing speed in real-time scenarios, specifically solving efficiency bottlenecks when handling small data blocks.
Practical value
Offers highly configurable compression levels and dictionary training, making it widely applicable for system-level data transmission and storage.
Innovation / differentiation
Introduces Finite State Entropy (FSE) coding and dictionary-based compression, significantly improving small-file compression while maintaining high-speed decompression.
Leverage potential
As a foundational library, its standardized format and extensive language bindings make it a standard component for data compression in modern software architectures.
Why now
The project has matured into an industry-standard compression algorithm, widely adopted across operating systems, databases, and network protocols.
Community activity
In the last 90 days there were 16 new issues and 48 pull requests; the bounded issue/PR samples include 12 issue authors and 29 PR contributors, with at least 0 releases.
Maintainer responsiveness
The 16-issue window sample had a 19% close rate, and the 47-pull-request sample had a 13% merge rate. Maintainer-response observations covered 100% of that issue sample, with a 0% response rate and median first response of not enough data.
Key highlights
- Provides a lossless compression algorithm with configurable speed and ratio trade-offs
- Supports training custom dictionaries on sample data to optimize small data compression
- Includes a command-line utility for generating and decoding multiple compression formats
Quick start
How it is installed, how hard it is, and where to start.
Where it runs
Runs locally
Difficulty
Medium — some setup needed
- 01Run the 'make' command in the root directory to compile the zstd CLI and libzstd library.
- 02Use the 'zstd --train' command followed by your training set files to create a compression dictionary.
- 03Load the generated dictionary file using the '-D' flag during compression or decompression.
Best for
- Developers who want to try it on their machine
- People who prefer Docker deploys
More about it
Zstandard (zstd) is a lossless data compression algorithm designed for real-time performance. By utilizing Huff0 and FSE entropy coding, it achieves superior processing speeds while maintaining or exceeding zlib-level compression ratios.
The project provides a reference C library and a versatile command-line utility that handles formats including .zst, .gz, .xz, and .lz4. For small data scenarios, it features a training mode that generates custom dictionaries to maximize compression efficiency.
Sources
Each field shows its status and source — expand to review.
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Sources
Each field shows its status and source — expand to review.
capability tags
Verifiedproductivity
Source: admin_cms · cms editor · 8/22/2026
editor note
Verified{"en":"Zstandard offers an excellent balance between compression speed and ratio, making it ideal for real-time data processing. Its built-in dictionary training significantly improves compression efficiency for small files.","zh":"Zstandard 提供了极佳的压缩速度与比率平衡，特别适合需要实时处理大量数据的场景。其内置的字典训练功能可提高小文件（如 JSON 记录）的压缩效率。"}
Source: admin_cms · cms editor · 8/22/2026
how to use
Verified{"steps":[{"en":"Run the 'make' command in the root directory to compile the zstd CLI and libzstd library.","zh":"在项目根目录运行 make 命令以编译 zstd 命令行工具及 libzstd 库。"},{"en":"Use the 'zstd --train' command followed by your training set files to create a compression dictionary.","zh":"使用 zstd --train 命令并指定训练集文件来创建压缩字典。"},{"en":"Load the generated dictionary file using the '-D' flag during compression or decompression.","zh":"在压缩或解压时通过 -D 参数加载生成的字典文件。"}],"installAt":"local","difficulty":"medium"}
Source: admin_cms · cms editor · 8/22/2026
intro
Verified{"en":"Zstandard (zstd) is a lossless data compression algorithm designed for real-time performance. By utilizing Huff0 and FSE entropy coding, it achieves superior processing speeds while maintaining or exceeding zlib-level compression ratios.\n\nThe project provides a reference C library and a versatile command-line utility that handles formats including .zst, .gz, .xz, and .lz4. For small data scenarios, it features a training mode that generates custom dictionaries to maximize compression efficiency.","zh":"Zstandard (zstd) 是一种提供实时压缩性能的无损数据压缩算法。它通过 Huff0 和 FSE 熵编码技术，在保持与 zlib 相当或更优压缩比的前提下，大幅提升了处理速度。\n\n该项目不仅包含核心 C 语言库，还提供了一个功能完备的命令行工具，支持 `.zst`、`.gz`、`.xz` 和 `.lz4` 等多种格式。对于小数据场景，用户可以通过训练模式生成专用字典，从而提高压缩效果。"}
Source: admin_cms · cms editor · 8/22/2026
Latest release
Verifiedv1.5.7
Source: GitHub API · latest_release=v1.5.7 · 8/25/2026
License
VerifiedNOASSERTION
Source: GitHub API · license.spdx_id=NOASSERTION · 8/25/2026
needs api key
VerifiedNo
Source: admin_cms · cms editor · 8/22/2026
One-liner
Verified{"en":"Zstandard is a high-performance lossless compression algorithm that provides real-time compression speeds with zlib-level or better compression ratios.","zh":"Zstandard 是一款高性能无损压缩算法，在提供 zlib 级别压缩比的同时，具备极高的实时压缩与解压速度。"}
Source: admin_cms · cms editor · 8/22/2026
Platforms
Verifiedwindows, macos, linux
Source: admin_cms · cms editor · 8/22/2026
Category hint
Inferred from materialssecurity
Source: Project README · hint=security · 8/16/2026
product forms
Verifiedlibrary_framework, cli
Source: admin_cms · cms editor · 8/22/2026
role tags
Verifiedbackend, devops
Source: admin_cms · cms editor · 8/22/2026
supports docker
VerifiedYes
Source: Repository file · dockerfile=true; compose=false · 8/25/2026
supports local
VerifiedYes
Source: admin_cms · cms editor · 8/22/2026
supports self host
VerifiedNo
Source: admin_cms · cms editor · 8/22/2026
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