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toml-lang avatar

toml-lang/toml

0
View on GitHub↗
20,525 stars·895 forks·MIT·28 viewstoml.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.

Star history

Star history chart for toml-lang/tomlStar history chart for toml-lang/toml

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does toml-lang/toml do?

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.

What are the main features of toml-lang/toml?

The main features of toml-lang/toml are: Application Configuration Management, Configuration Formats, Data Serialization Formats, Content Formats, Key-Value Pair Managers, Configuration Languages, Configuration Table Structures, Hierarchical Data Models.

Which projects share features with toml-lang/toml?

Projects with overlapping indexed features include: 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…