TomWright/dasel
Dasel
Dasel is a multi-format data processor and structured data query tool used for querying, editing, and converting data across JSON, YAML, TOML, and XML. It functions as a universal data converter and a cross-format configuration editor that allows users to interact with various serialization formats through a single unified interface.
The tool provides a selector-based interface for extracting and searching nested values and modifying keys and values across different file types. It enables the transformation of data between supported structures to change file types while preserving the original content and structure.
Its capabilities cover structured data extraction, nested data searching, and the modification of values within configuration files. It also supports data structure transformation to ensure compatibility between diverse storage systems and automation tools.
Features
- Format Conversions - Transforms structured data between different supported formats to change file types while preserving original content.
- Data Format Converters - Transforms data between different serialization formats while preserving the original content and structure.
- Structured File Mutators - Updates, inserts, or deletes specific values within structured files by targeting precise keys or data paths.
- Cross-Format Query Interfaces - Provides a utility to retrieve specific values from various file types using a single, unified query syntax.
- Format Converters - Provides utilities to translate structured data between different serialized formats like JSON, YAML, TOML, and XML.
- Interactive Data Querying Tools - Provides a selector-based interface for extracting and searching nested values within various configuration and data files.
- Nested Data Extractors - Searches and retrieves specific values from deeply nested objects and arrays across multiple structured file formats.
- Format-Agnostic Parsers - Processes diverse serialization formats into a common internal representation without requiring a predefined schema for each input.
- Structured Data Extraction - Extracts specific values, lists, or objects from various structured file types using a consistent selector syntax.
- Cross-Format Configuration Editors - Modifies and updates keys and values across multiple file formats using a single unified syntax.
- Multi-Format Data Processors - Provides a command-line tool for querying and transforming data across JSON, YAML, TOML, XML, and other structured formats.
- File-Based Configuration - Updates or modifies values in structured configuration files without requiring manual editing of the source text.
- Selector-Based Path Resolvers - Navigates nested data structures using a standardized selector syntax to precisely locate and extract values or objects.
- Nested Data Search Tools - Locates values matching specific keys or conditions across all levels of deeply nested objects and arrays.
- Data Transformation - Changes the shape of data across different file formats to ensure compatibility between diverse storage systems.
- Unified Internal Representations - Maps various serialization formats into a single internal representation to apply consistent transformations across different data types.
- Data Transformation Pipelines - Reshapes data structures across different file types to ensure compatibility between diverse automation tools and systems.
- Recursive Tree Transformers - Implements recursive traversal of internal data trees to modify or delete nested values across diverse formats.
- Data Manipulation - JSON/YAML/TOML/XML processor.
- Data Processing - Query and update JSON, YAML, TOML, and XML data.
- Data Processing Tools - Query and update various data formats from the command line.
- JSON and Tree Data - Query and update data structures across multiple formats.
- Query Languages - CLI tool for querying JSON, YAML, TOML, and XML.
- TOML and YAML Utilities - Query and update various data formats from the command line.
Star history
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