Open-source alternatives to VBA JSON

jsonparser is a Go library for parsing, extracting, and modifying JSON data by key path without requiring predefined structs or type schemas. It uses a deterministic state machine to parse JSON directly from byte slices, enabling zero-copy traversal and lazy typed value extraction. The library provides key-path-based navigation to retrieve raw bytes and typed values from nested JSON structures, supporting extraction of strings, integers, floats, and booleans. It also enables in-place value modification and deletion at specified key paths, as well as iteration over arrays and objects using cal

This is a Rust serialization library for converting data structures to and from JSON strings and byte streams. It is built as a framework within the Serde ecosystem, providing both a strongly typed parser for compile-time safety and a recursive value tree for manipulating JSON data without a predefined schema. The project supports both typed and untyped processing. It can map JSON data into specific Rust types for schema conformity or parse input into a flexible, schemaless representation. It also includes macro-based utilities for the dynamic construction of JSON objects.

This is a JavaScript library for parsing and serializing JSON data, with a particular focus on handling objects that contain circular references. It provides a standard JSON parser that reads text and reconstructs JavaScript values without using the eval function, guarding against code injection, alongside a standard serializer that converts objects into JSON strings for data interchange. The library distinguishes itself by offering specialized encoding and decoding for cyclical object graphs. It can serialize objects with circular references by replacing repeated object paths with JSONPath s

This project is a high-performance JSON parsing library for Rust that utilizes hardware-accelerated instructions to process complex data structures. It functions as a type-safe serialization tool, mapping raw JSON strings into native language objects while providing the flexibility to handle dynamic document structures when schemas are unknown or frequently changing. The library distinguishes itself through its use of SIMD-accelerated parsing and bitmask-based structural identification, which allow it to scan and tokenize documents by processing multiple bytes simultaneously. It employs runti

JSON5 is a parser and serializer for a human-readable configuration format that extends JSON. It serves as a JavaScript-based data parser that allows for a more flexible version of the JSON specification to simplify manual editing of data files. The project provides capabilities to support comments, trailing commas, and multi-line strings. It includes utilities to convert this extended syntax into standard JSON for compatibility with tools requiring strict specifications. The library covers data serialization, string parsing, and structural syntax validation. It also provides integration for

Ultrajson is a high-performance Python JSON library and C-based parser designed to minimize parsing overhead. It provides a C implementation of the JSON specification to enable fast encoding and decoding of data. The project functions as a concurrent JSON processor, supporting multi-threaded serialization and deserialization to increase data throughput and prevent blocking execution. Its capabilities cover Python data serialization and high-performance JSON processing for real-time data pipelines. This includes parsing JSON data and serializing native objects into JSON strings.

body-parser is a Node.js HTTP request parser that converts incoming request bodies into structured JavaScript objects. It provides utilities to extract and process JSON, raw binary, plain text, and URL-encoded payloads for use in web servers. The project employs a middleware pattern to augment request objects, attaching parsed data directly to the request for use in subsequent route handlers. It uses content-type based dispatching to select the appropriate parsing logic based on the request headers. The tool manages data streams by consuming payloads in chunks and accumulating binary buffers

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

cJSON is a lightweight library for parsing, creating, and modifying JSON data structures within C applications. It provides a comprehensive set of utilities for transforming raw text into navigable objects, manipulating data fields within collections, and serializing complex structures into formatted or unformatted strings. The library is designed for memory-sensitive and resource-constrained environments, utilizing manual memory management and type-tagged union structures to maintain a minimal footprint. It employs recursive descent parsing and in-place string manipulation to process data ef

RapidJSON is a high-performance C++ library used for parsing and generating JSON data. It provides both document object model and stream-based interfaces to transform JSON strings into structured data and vice versa. The library includes a JSON schema validator to verify that documents conform to predefined rules and a Unicode transcoder for converting strings between UTF-8, UTF-16, and UTF-32 encodings. It also supports relaxed parsing for non-standard JSON containing comments or trailing commas. Additional capabilities cover JSON pointer navigation for locating specific values and string s

Oils is a Unix shell interpreter and scripting language runtime that combines a modern shell language with POSIX and Bash compatibility. It functions as a structured data shell, integrating JSON and J8 formats to manage complex data without relying on string parsing. The system is distinguished by a C++ transpiled interpreter that converts a subset of Python source code into strongly typed C++ for high-performance execution. It features a garbage-collected typed runtime that supports prototype-based polymorphism, lexical closures, and reference-based variable mutation. To decouple shell logic

This library is a Ruby-based validation engine designed to verify JSON data structures against official schema specifications. It ensures data integrity by confirming that objects, strings, and files conform to defined structural constraints, while also validating the integrity of the schema definitions themselves against official metaschema standards. The project distinguishes itself through a highly modular architecture that allows for deep customization. Users can register custom validation rules and format handlers to enforce project-specific business logic that extends beyond standard sp

Scala is a statically typed programming language and compiler that combines object-oriented and functional programming paradigms. It serves as a cross-platform runtime language capable of targeting the Java Virtual Machine and JavaScript to share logic between backend servers and web frontends. The project provides a functional programming framework with immutable data structures and higher-order functions to build reliable concurrent and distributed applications. It distinguishes itself through deep interoperability with Java and JavaScript ecosystems and the ability to transform code into n

Home Assistant is a local home automation platform and server that acts as an IoT device orchestrator. It integrates diverse smart home hardware by wrapping third-party APIs into a standardized logic layer and stores all system state and historical statistics on local hardware to eliminate cloud dependencies. The system functions as a Matter IoT controller and an MQTT home automation bridge, allowing for local interoperability between different manufacturers. It features a state-based entity model and an internal event bus that decouple physical device logic from system automation. The platf

simdjson is a high-performance, header-only C++ library designed for parsing, querying, and serializing JSON data with minimal memory overhead. It functions as a hardware-aware data processing engine that leverages vector instructions to achieve gigabyte-per-second parsing speeds. By detecting host processor capabilities at runtime, the library automatically selects the most efficient instruction sets to accelerate structural analysis and validation. The library distinguishes itself through a focus on extreme efficiency and resource management. It utilizes memory mapping and padded buffer ali

RapidJSON is a header-only C++ library designed for high-performance parsing, generation, and manipulation of JSON data. It functions as a dual-mode engine, providing both an in-memory document object model for tree-based manipulation and a stream-based interface for event-driven processing. The library is built to minimize memory footprint and maximize execution speed, making it suitable for resource-constrained environments. The library distinguishes itself through advanced memory management and optimization techniques, including in-situ parsing that modifies input buffers directly to elimi

UltraJSON is a high-performance JSON library and parser written in C with bindings for Python. It provides a fast alternative to standard JSON processing for decoding JSON strings into native data structures and encoding data structures back into JSON strings. The library utilizes a C-based engine to reduce processing latency and increase throughput for JSON generation and parsing. It is designed to accelerate data pipelines and optimize the handling of JSON payloads.

gjson is a Go JSON parser designed for schema-less reading and value extraction. It allows for the retrieval of specific data from JSON documents using dot-notation paths without requiring the definition of predefined Go structs. The library provides tools for path-based querying, including the use of wildcards and index-based queries to locate data within objects and arrays. It also functions as a JSON lines processor, treating multi-line documents as arrays to iterate and query individual entries. Additional capabilities include converting JSON values into native Go types such as strings,

Moshi is a JSON serialization library and parser for Kotlin and Java. It functions as a reflectionless JSON encoder that converts typed objects to JSON strings and parses JSON data back into language objects. The library distinguishes itself through compile-time adapter generation, which removes the performance overhead associated with runtime reflection. It also provides a polymorphic JSON mapper that uses type identifiers to resolve and instantiate specific subclasses of a common base type. The framework supports custom adapter definitions for specialized type conversion, including nullabi

simdjson is a high-performance JSON parser that utilizes SIMD instructions to process gigabytes of data per second. It functions as a SIMD JSON parser, a multithreaded NDJSON processing library, a UTF-8 validation engine, and a tool for JSON minification and string building. The project focuses on high-throughput data processing, enabling the ingestion of massive JSON volumes and the verification of UTF-8 encoding standards. It includes dedicated capabilities for constructing JSON strings with optimized memory usage and removing unnecessary whitespace from documents to reduce file size. The

jsmn is a lightweight JSON parser library written in C. It provides zero-copy tokenization and incremental parsing designed for use in embedded systems and memory-constrained environments. The library identifies structural JSON elements by providing offsets into the original string rather than allocating new memory for data. It uses a single-pass scanning method and requires static-buffer allocation, meaning the caller provides the memory for tokens to avoid dynamic allocation during the parsing process. The parser supports incremental streaming, allowing it to process JSON data in chunks fr

ArduinoJson is a C++ library for parsing and manipulating JSON data and MessagePack binary streams on microcontrollers with limited memory and processing power. It provides the core primitives necessary for embedded data serialization and parsing, enabling devices to exchange structured data over serial or network interfaces. The library is distinguished by its focus on microcontroller memory management, employing strategies such as pool-based allocation, string deduplication, and non-owning string views to minimize RAM usage. It further optimizes for constrained environments by allowing cons

Fastjson is a Java data binding framework and serialization library designed to convert objects to JSON strings and parse JSON data into typed objects. It functions as a JSON parser and stream processor capable of transforming JSON strings into data structures. The project emphasizes high performance JSON processing and memory management, specifically through the use of a pipeline to stream oversized JSON objects and texts to prevent memory exhaustion. It provides capabilities for JSON data serialization and deserialization workflows, including custom JSON data mapping and the ability to def

The C++ REST SDK is a library for asynchronous HTTP and RESTful communication in native C++ applications. It provides a non-blocking network client for sending requests and receiving responses, a JSON parser for serializing and deserializing data, and a WebSocket client library for real-time, full-duplex communication. The project includes a dedicated OAuth2 authentication client to manage access tokens and authorization flows for secure communication with protected cloud resources. It utilizes a task-based asynchronous model to coordinate background operations and keep application interfaces

orjson is a high-performance Python library for serializing and deserializing JSON data. It functions as both a JSON parsing library and a serialization engine, converting data between native Python objects and UTF-8 encoded bytes. The project provides specialized support for converting complex Python data structures, including dataclasses, datetime objects, and NumPy arrays and scalars, into JSON format. It also allows for the insertion of pre-serialized JSON blobs into documents to maintain processing speed. The library includes capabilities for memory-efficient deserialization through key

This is an asynchronous HTTP client for Android that simplifies network requests by wrapping Apache HttpClient. It provides a callback-based networking library for fetching remote data and communicating with servers without blocking the user interface. The project includes a multipart HTTP uploader for sending binary files and large data payloads, as well as a JSON parser to convert raw response text into structured data objects. It features a session manager that persists cookies in local application preferences to maintain state across multiple requests. Additional capabilities include aut

Hutool is a comprehensive suite of Java extensions designed to serve as a standard library extension. Its primary purpose is to reduce development boilerplate for common programming tasks and data manipulation through a collection of utility classes. The project provides specialized toolkits for database management using active record patterns and connection pooling, as well as network communication via a simplified HTTP client and asynchronous socket management. It includes security and identity capabilities such as symmetric and asymmetric encryption, image captcha generation, and JWT token