itchyny/gojq

Features

• JSON Document Filtering - Integrates a query language to filter, transform, and manipulate JSON data structures.
• jq Query Engines - Implements a Go-based runtime to parse and execute jq filter expressions against JSON data.
• JSON Transformation - Filters and manipulates JSON structures using a query language to extract specific information or reshape data.
• JSON and YAML Transformation Tools - Enables converting, filtering, and reformatting of JSON and YAML data using a specialized query language.
• JSON Processors - Functions as an engine for navigating and modifying hierarchical JSON data structures with arbitrary precision.
• JSON Query Engines - Provides a processing engine that executes complex filter strings to modify or extract information from JSON.
• JSON Query Executions - Parses and runs filter strings against JSON-compatible data to extract or modify specific information.
• JSON Command Line Workflows - Provides a terminal tool to parse and format JSON data with colorized output for human readability.
• AST-Based Execution - Executes JSON transformations by evaluating an abstract syntax tree generated from filter strings.
• Go Libraries - Provides a Go library for embedding jq query capabilities to manipulate JSON and YAML data.
• Go Library Integrations - Embeds a JSON query engine directly into Go programs to provide dynamic data processing and filtering.
• Arbitrary Precision Math - Performs mathematical operations on extremely large integers within data queries to avoid numeric overflow.
• Format-Agnostic Parsers - Translates between YAML and JSON structures using a common internal representation before processing filters.
• Dynamic Variable Injection - Binds external environment variables and parameters to the query runtime for flexible data processing.
• YAML Serializers - Reads and writes data in YAML format while applying filters and transformations to the content.
• Environment Variable Injection - Enables passing environment variables and custom parameters into a query for dynamic data processing.
• Arbitrary-Precision Arithmetic - Uses big integer libraries to perform mathematical operations without losing precision or encountering numeric overflow.
• Data Processing Tools - Pure Go implementation of jq with YAML support.
• JSON and Tree Data - Pure Go implementation of jq with YAML support.
• TOML and YAML Utilities - Pure Go implementation of jq with YAML support.
• Language Bindings - Go implementation usable as a library.
• Language Implementations - A jq implementation written in Go.

Historique des stars