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toml-lang avatar

toml-lang/toml

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20,525 estrellas·895 forks·MIT·17 vistastoml.io↗

Toml

TOML is a configuration file format designed for human readability and unambiguous mapping to hash tables. It serves as a standardized language for structured data, enabling consistent parsing and data exchange across diverse programming environments.

The format distinguishes itself through a strict type-system specification that ensures data is interpreted identically regardless of the implementation. It utilizes a line-oriented lexical structure that supports both hierarchical organization through bracketed sections and compact inline embedding for nested objects. This approach allows for the representation of complex data models while maintaining a clear, readable text format.

The language supports a wide range of primitive and complex data types, including integers, floating-point numbers, booleans, and standardized date-time values. It provides flexible string encoding for multi-line content and raw text, alongside built-in support for inline comments to facilitate documentation within configuration files. These capabilities allow for the definition of nested tables, arrays, and arrays of tables to model multi-dimensional data structures.

Features

  • Application Configuration Management - Provides a standardized, human-readable format for managing application settings and configuration parameters.
  • Configuration Formats - A human-readable configuration file format designed for unambiguous mapping to hash tables.
  • Data Serialization Formats - Provides a standardized, human-readable configuration file format designed for unambiguous mapping to hash tables.
  • Content Formats - Provides a standardized, human-readable text format for structured data storage and configuration.
  • Key-Value Pair Managers - Maps keys to values using a standardized syntax supporting strings, numbers, booleans, dates, arrays, and tables.
  • Configuration Languages - Defines a hierarchical syntax for structured configuration data that maps directly to hash tables and arrays.
  • Configuration Table Structures - Create ordered collections of structured objects by using double-bracketed headers to append multiple table entries to a single key.
  • Hierarchical Data Models - Organizes configuration data into nested tables and arrays to represent complex, multi-level data models.
  • Configuration Formats and Schemas - Structures data into a human-readable format that maps unambiguously to hash tables for consistent parsing.
  • Data Exchange Standards - Ensures consistent data interpretation across different programming environments and systems.
  • Data Structures - Organizes multi-dimensional information into nested hierarchies and arrays of tables.
  • Data Types - Ensures data consistency through native support for strings, numbers, booleans, and date-time formats.
  • List Data Structures - Structures complex collections using arrays, inline tables, and arrays of tables.
  • Structured Data Records - Models arrays of objects and data records using specialized double-bracketed headers.
  • Table Data Processing - Uses dot-notation keys and bracketed headers to structure hierarchical configuration data.
  • Configuration Documentation - Improves maintainability by allowing descriptive comments and clear hierarchical structures within configuration files.
  • Configuration Commenting Utilities - Supports built-in inline comments to improve documentation and maintainability within configuration files.
  • Configuration Comments - Insert human-readable notes into configuration files using a designated symbol that instructs the parser to ignore all text until the end of the line.
  • Hierarchical Data Structures - Creates nested hash table structures using dot-separated keys and table headers.
  • Primitive Type Schemas - Maps configuration values to native primitive types including strings, numbers, and booleans.
  • Type Systems - Defines a fixed set of primitive and complex data types to ensure unambiguous interpretation across environments.
  • Configuration Sections - Organizes complex configuration data into manageable, readable hierarchical sections using bracketed headers.
  • JSON and Data Serialization - Tools for parsing and manipulating TOML configuration files.
  • Zsh Plugin Managers - Configuration syntax used by modern shell plugin managers.
  • Data Encoding - Encodes diverse data formats including 64-bit integers and floating-point numbers.
  • Date and Time Libraries - Encodes temporal data using standardized date and time formats for consistent interpretation.
  • Table Definitions - Allows compact definition of tables using inline curly brace syntax.
  • String Literal Handling - Supports basic, multi-line, and literal string formats with flexible escaping and raw content preservation.
  • Floating Point Handlers - Supports standardized numeric formats including integers and floating-point numbers with scientific notation.
  • Configuration Data Collections - Define arrays of values or arrays of tables to represent lists of structured objects within a configuration document.
  • Data Formats - Represents integers, floats, booleans, and date-time formats using native syntax for unambiguous interpretation.
  • Data Structures - Organizes configuration settings into key-value pairs, nested tables, and arrays to represent complex data.
  • Hash Tables - Maps configuration structures directly to native hash tables for consistent cross-language data representation.
  • Complex Data Types - Encodes diverse data types including multi-line strings, scientific numbers, and temporal values.
  • Complex Data Modeling - Models nested or repeating data sets using arrays, inline tables, and arrays of tables.
  • Inline Definitions - Allows compact definition of nested objects and lists to reduce file verbosity.
  • String Encodings - Provides multiple string formats to handle raw text and multi-line content without complex character escaping.
  • Multiline Text Blocks - Uses specialized syntax for multi-line strings and literal text blocks to handle long passages.
  • Inline Grouping - Defines small collections of key-value pairs within a single line to improve file conciseness.
  • Nested Data Persistence - Structures configuration hierarchies using dot-notation or bracketed sections for nested objects.
  • Boolean Configuration Values - Uses simple, lowercase tokens to represent logical values within configuration structures.
  • Parsing Strategies - Processes configuration files as a sequence of lines to simplify parsing logic and ensure readability.

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Preguntas frecuentes

¿Qué hace toml-lang/toml?

TOML is a configuration file format designed for human readability and unambiguous mapping to hash tables. It serves as a standardized language for structured data, enabling consistent parsing and data exchange across diverse programming environments.

¿Cuáles son las características principales de toml-lang/toml?

Las características principales de toml-lang/toml son: Application Configuration Management, Configuration Formats, Data Serialization Formats, Content Formats, Key-Value Pair Managers, Configuration Languages, Configuration Table Structures, Hierarchical Data Models.

¿Qué alternativas de código abierto existen para toml-lang/toml?

Las alternativas de código abierto para toml-lang/toml incluyen: emirpasic/gods — This project is a comprehensive container framework for Go that provides a suite of fundamental data structures and… zxing/zxing — This project is a multi-format barcode library designed to encode and decode one-dimensional and two-dimensional… redis/go-redis — This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive… prestodb/presto — Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data… kamranahmedse/developer-roadmap — Developer Roadmap is a community-driven platform that provides structured, graph-based learning paths for software… stefankroes/ancestry — Ancestry is a materialized path tree library for managing hierarchical data models in relational databases. It…