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Back to jbeder/yaml-cpp

Open-source alternatives to Yaml Cpp

30 open-source projects similar to jbeder/yaml-cpp, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Yaml Cpp alternative.

  • nodeca/js-yamlAvatar de nodeca

    nodeca/js-yaml

    6,591Ver en GitHub↗

    js-yaml is a JavaScript library providing a programmatic interface for parsing and dumping YAML data. It functions as a parser and serializer that converts YAML strings into JavaScript objects and transforms JavaScript objects back into YAML format. The library includes a command-line interface for parsing or dumping YAML data via direct input or data pipes. It also features an abstract syntax tree transformer to modify the structure of data during serialization. The project provides capabilities for multi-document processing and the definition of custom schemas and tags to handle specialize

    JavaScript
    Ver en GitHub↗6,591
  • symfony/yamlAvatar de symfony

    symfony/yaml

    3,843Ver en GitHub↗

    This project is a PHP library that serves as a configuration file processor, providing a bridge to translate human-readable YAML text into native PHP arrays and objects. It functions as both a parser for converting YAML content into application-ready data structures and a serializer for transforming PHP data back into formatted YAML strings. The library includes security protections designed to prevent memory exhaustion and stack overflow attacks when processing untrusted documents. It ensures structural integrity through syntax validation and provides a command-line utility to check files fo

    PHPcomponentphpsymfony
    Ver en GitHub↗3,843
  • goccy/go-yamlAvatar de goccy

    goccy/go-yaml

    2,189Ver en GitHub↗

    This library is a Go-based utility for encoding and decoding YAML data into native language structures. It facilitates the transformation of complex objects into human-readable text formats and provides mechanisms for mapping data fields through reflection and custom type handling. The library distinguishes itself by maintaining an intermediate abstract syntax tree, which allows for precise document modifications and the preservation of comments during serialization. It includes a path-based query engine that enables users to navigate, filter, and update document hierarchies without manual it

    Gogogolanggolang-library
    Ver en GitHub↗2,189

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    dtolnay/serde-yaml

    1,019Ver en GitHub↗

    Serde-yaml is a serialization library for the Rust programming language that facilitates the conversion of complex data structures into YAML format and the deserialization of YAML text into strongly typed objects. It functions as a data format converter, enabling the transformation of structured information between native language types and human-readable configuration files. The library integrates with the standard Rust serialization ecosystem to map arbitrary data types to and from the YAML format. By utilizing trait-based data mapping, it allows developers to manage application settings an

    Rustrustserdeyaml
    Ver en GitHub↗1,019
  • msgspec/msgspecAvatar de msgspec

    msgspec/msgspec

    3,821Ver en GitHub↗

    msgspec is a high-performance data modeling, serialization, and schema validation toolkit for Python. It serves as a type-safe serialization framework that integrates schema enforcement and data parsing into a single pass, functioning as both a data serialization library and a schema validation system based on standard Python type annotations. The project distinguishes itself through high-performance structural primitives, including compilation-based routine generation and zero-copy buffer parsing. It optimizes memory usage via garbage collection-aware layouts and reduces processing overhead

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    jeremyfa/yaml.js

    886Ver en GitHub↗

    This library provides a parser and encoder for YAML 1.2 data structures, enabling the transformation of human-readable YAML strings into native JavaScript objects and arrays. It is designed to function as a cross-platform utility, ensuring consistent data processing across both server-side runtimes and client-side browser environments. Beyond its core library functionality, the project includes a command-line interface for automating data conversion tasks. This utility supports bidirectional transformation between YAML and JSON formats, allowing for the programmatic manipulation and exchange

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  • aaubry/yamldotnetAvatar de aaubry

    aaubry/YamlDotNet

    2,807Ver en GitHub↗

    YamlDotNet is a YAML serialization library and data mapping tool for .NET. It functions as a parser and generator that converts between .NET objects and YAML formatted text for data storage and configuration. The project provides capabilities for YAML document parsing and data object mapping. It transforms YAML streams into low-level representations or high-level object models for programmatic analysis and converts structured data objects back into valid YAML strings. The library covers general data serialization and configuration file management, allowing application data structures to be m

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  • google/jsonnetAvatar de google

    google/jsonnet

    7,522Ver en GitHub↗

    Jsonnet is a structured configuration generation language that extends JSON with variables, conditionals, and object-oriented features to create reusable templates. It is designed to eliminate duplication in configuration data by providing a data templating language that can produce structured output from concise, programmable templates. The language distinguishes itself through an object-oriented inheritance model that allows field override, mixin composition, and self-referencing for modular configuration reuse. It supports lazy evaluation with thunks to defer computation until values are f

    Jsonnetconfigconfigurationfunctional
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  • uscilab/cerealAvatar de USCiLab

    USCiLab/cereal

    4,676Ver en GitHub↗

    Cereal is a C++ serialization library and object persistence tool used to convert data types and containers into formats for storage or transmission. It is implemented as a header-only library, allowing it to be included directly in source code without the need for a compiled binary. The library supports multiple data representations, including binary, XML, and JSON. It provides the ability to define custom archives, enabling the development of specialized output formats to control how data is encoded and stored. The system handles the conversion of complex objects through template-based ser

    C++c-plus-pluscerealserialization
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  • mlpack/mlpackAvatar de mlpack

    mlpack/mlpack

    5,663Ver en GitHub↗

    mlpack is a header-only C++ machine learning library that defines matrix types as compile-time templates, enabling flexible numeric precision and memory layout without runtime overhead. Its core identity is built around a template metaprogramming architecture that allows algorithms to be included selectively as independent modules, reducing binary size, and supports compile-time serialization of neural network parameters by deducing matrix types and structure at compile time. The library distinguishes itself through a multi-language binding framework that automatically generates bindings for

    C++
    Ver en GitHub↗5,663
  • open-source-parsers/jsoncppAvatar de open-source-parsers

    open-source-parsers/jsoncpp

    8,850Ver en GitHub↗

    JsonCpp is a C++ library for parsing, manipulating, and generating JSON data. It functions as a data interchange tool that provides a JSON parser to convert formatted text into structured data and a JSON serializer to transform internal data structures back into valid JSON strings. The library features the ability to preserve non-standard JSON comments during the deserialization and serialization process, which supports the management of human-readable configuration files. The project implements a tree-based internal representation for programmatic data access and uses a builder-based config

    C++
    Ver en GitHub↗8,850
  • itchyny/gojqAvatar de itchyny

    itchyny/gojq

    3,770Ver en GitHub↗

    gojq is a JSON query engine and transformation tool implemented in Go. It serves as a Go language port of the jq command, providing a library for embedding JSON and YAML manipulation capabilities directly into Go applications. The tool functions as an arbitrary-precision JSON processor, performing mathematical operations on large integers to prevent precision loss or numeric overflow during data transformations. Its broader capabilities include filtering and reshaping structured data using a specialized query language, converting between YAML and JSON formats, and formatting date and time st

    Go
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    norvig/paip-lisp

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    This project is a comprehensive Lisp AI implementation library that provides reference implementations for various artificial intelligence paradigms and symbolic algorithms. It functions as a multi-purpose toolkit containing a logic programming engine, a natural language processing suite, and a symbolic mathematics toolkit. The library is distinguished by its diverse architectural frameworks, including a Prolog-style execution engine that uses unification and goal-driven backtracking, and a system for simulating human decision-making through expert system shells and certainty factors. It also

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    facebook/lexical

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    Lexical is a modular rich text editor framework used to build extensible web-based editors. It functions as a state-driven content editor that maintains a serializable, immutable snapshot of document content to ensure predictable updates and accessibility compliance. The framework is distinguished by its plugin-based architecture and customizable node framework, which allow developers to extend editor behavior through specialized content nodes and encapsulated runtime logic. It also includes a collaborative editing engine capable of synchronizing document state across multiple clients in real

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    bytedance/flowgram.ai

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    Flowgram.ai is a workflow development framework for building AI workflow platforms. It provides a visual drag-and-drop canvas for constructing workflows, an Entity-Component-System (ECS) based document model for structuring workflow nodes as a tree, and a node-based form engine for managing configuration forms with built-in rendering, validation, side effects, and error handling. The framework also includes a workflow execution engine that parses directed graph workflows and runs nodes step by step with state tracking and array iteration. The framework distinguishes itself through a layered r

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    FasterXML/jackson-databind

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    Jackson-databind is a Java serialization framework and JSON data binding library used to convert Java objects to JSON and vice versa. It functions as a JSON streaming API that generates and parses content as a sequence of tokens, and as a hierarchical data tree mapper that reads data into a node structure for dynamic modification without predefined classes. The project provides a structured mapping process to bind data to objects, allowing for the transformation of complex Java objects into data formats and the reconstruction of objects from those formats. It supports custom data format mappi

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    adambard/learnxinyminutes-docs

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    lotabout/write-a-C-interpreter

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    This project is a C language interpreter and a practical implementation of a programming language. It parses and executes C source code directly, removing the requirement for a separate compilation step. The interpreter is designed for self-hosting, meaning it is capable of interpreting its own source code to demonstrate recursive language processing and execution. The system covers the primary stages of language processing, including lexical analysis, recursive descent parsing, and tree-walk interpretation using an abstract syntax tree. It manages memory and scope through a dynamic symbol t

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    lunet-io/scriban

    3,905Ver en GitHub↗

    Scriban is a .NET text templating engine and embedded scripting language used for dynamic text generation. It functions as an abstract syntax tree manipulation tool and a template parser, allowing for the conversion of scripts into visitable trees for analysis, modification, and rendering. The engine is specifically designed for Native AOT compatibility, utilizing a reflection-free API to execute templates in trimmed environments. It also provides a dedicated parser and conversion system for Liquid templates, enabling the migration and execution of Liquid scripts within .NET. The project cov

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    doctrine/collections

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    doodlewind/jshistory-cn

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    Participle is a Go parser generator and toolkit for building language frontends. It provides a declarative grammar framework that uses reflection and struct tags to map input patterns directly into typed data structures. The library features a stateful lexical analyzer that employs state machines to handle nested or modal patterns. It includes a lexer code generator to produce optimized code, reducing runtime memory allocations and increasing throughput. The project covers recursive descent parsing with support for union types via sealed interfaces and custom parsing logic through interface-

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