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yq - 跨格式命令行数据处理器
A portable command-line tool for processing YAML, JSON, XML, CSV, TOML, and properties files with a syntax similar to jq. Ideal for scripting, automation, and data transformation.
Go
Added on 2025年6月6日13,521
Stars651
ForksGo
LanguageProject Introduction
Summary
yq is a versatile command-line processor that acts as a Swiss Army knife for handling multiple structured data formats. It enables users to parse, query, and manipulate data files directly from the terminal or within automation scripts.
Problem Solved
Dealing with structured data files (YAML, JSON, etc.) from the command line for automation, scripting, or quick inspections can be cumbersome and requires installing specific parsers or writing complex scripts. yq provides a simple, consistent tool to handle these tasks efficiently.
Core Features
Multi-Format Support
Process and query various data formats including YAML, JSON, XML, CSV, TOML, and properties with a unified, intuitive syntax.
Powerful Querying (jq-like)
Leverage a powerful query language inspired by jq for filtering, selecting, and transforming data structures.
In-Place Editing
Modify files in-place, making it easy to update configuration or data files directly from scripts.
Portable and Lightweight
Designed as a single binary with no dependencies, making it easy to download and use across different platforms.
Tech Stack
Go
使用场景
yq's flexibility makes it suitable for numerous scenarios involving structured data manipulation via the command line.
场景一：自动化配置更新
Details
Update specific values (e.g., image tags, replica counts) in Kubernetes YAML manifests within deployment scripts.
User Value
Simplifies infrastructure as code management and accelerates deployment workflows.
场景二：命令行数据提取与转换
Details
Extract specific fields or filter data from JSON or XML API responses directly in shell scripts for reporting or further processing.
User Value
Enables quick data analysis and integration with other command-line tools without needing programming languages.
场景三：数据格式转换
Details
Convert data between different formats, such as converting a YAML configuration file to JSON or vice versa.
User Value
Improves interoperability between systems or tools that require specific data formats.
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