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jq: Command-line JSON processor
A lightweight and flexible command-line JSON processor. jq is a portable command-line JSON processor that acts like sed for JSON data - you can use it to slice, filter, map and transform structured data with ease. It is written in portable C, has zero runtime dependencies, and can process large JSON files quickly.
C
Added on 2025年6月19日31,959
Stars1,637
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LanguageProject Introduction
Summary
jq is a robust and versatile command-line tool designed specifically for processing JSON data. It allows users to perform complex operations like filtering, mapping, and transforming JSON structures using a concise syntax, making it an essential utility for developers, sysadmins, and data analysts.
Problem Solved
Processing and querying JSON data from the command line is often cumbersome and requires complex scripting or programming. jq provides a simple, declarative way to perform these tasks quickly and efficiently directly in the terminal.
Core Features
Declarative Filtering and Transformation
Offers a powerful command-line syntax for querying and manipulating JSON data.
Efficient Streaming Processing
Acts like a streaming editor for JSON, handling large files efficiently without loading them entirely into memory.
Portable and Lightweight
Can be easily installed on various operating systems and integrates well with shell scripting.
Tech Stack
C
JSON
Command Line
Use Cases
jq is invaluable in any scenario requiring command-line manipulation of JSON data, including:
Extracting Data from JSON
Details
Extracting specific values, objects, or arrays from large JSON files or API responses.
User Value
Quickly isolate needed information without writing custom parsing code.
Transforming JSON Data
Details
Transforming JSON structures, such as converting an array of objects into a different format, renaming keys, or adding/removing fields.
User Value
Easily restructure data to fit different requirements or downstream systems.
Filtering JSON Data
Details
Filtering JSON data based on conditions, selecting elements that meet certain criteria.
User Value
Process only the relevant parts of a JSON dataset.
Formatting & Pretty-Printing JSON
Details
Formatting minified JSON into a human-readable, pretty-printed format.
User Value
Improve readability of JSON output for easier debugging and analysis.
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