Search Results for "data structures"

BSON parser is the core JavaScript implementation of BSON (Binary JSON), the data format used by MongoDB to represent documents on the wire and in storage. It provides encoding and decoding capabilities so JavaScript environments like Node.js and browsers can serialize rich data structures (including types not native to JSON) into the compact, efficient BSON binary representation used by MongoDB drivers and servers.

...The library is capable of fixing problems such as missing commas, trailing commas, invalid quotes, unescaped characters, incomplete values, comments, and improperly formatted structures while preserving the intended data as accurately as possible. It is especially useful in workflows involving AI-generated content, manually edited configuration files, or unreliable external APIs where malformed JSON frequently occurs. jsonrepair supports both browser and Node.js environments, making it suitable for client-side validation tools and backend processing pipelines alike. ...

Fast JSON is a high-performance JSON parser and generator written in Go, designed for speed and efficiency in handling large volumes of structured data. It avoids unnecessary memory allocations and reflection, enabling significantly faster parsing compared to standard libraries. The project provides a low-level API that allows developers to work directly with JSON structures without converting them into intermediate representations. Its design prioritizes minimal overhead and maximum throughput, making it suitable for performance-critical applications such as APIs, data pipelines, and real-time systems. fastjson also supports both parsing and serialization, offering flexibility in data handling. ...

json-render is a lightweight, framework-agnostic utility designed to turn JSON data into usable HTML layouts automatically, offering a straightforward way to visualize structured data without writing bespoke template code. It takes deeply nested JSON objects and renders them into intuitive, readable UIs by mapping data types and keys to semantic HTML elements, which helps developers prototype dashboards, debugging tools, or data-driven interfaces quickly. The tool is built to be embeddable...

...Just as GJSON allows fast retrieval, SJSON allows fast mutation: you provide a JSON document, a dot-notation path (including array indices or the special “-1” index for appending), and a new value, and SJSON produces the updated JSON. It supports many data types (numbers, strings, bools, arrays, maps), raw byte paths, and options for in-place replacement. Because it avoids full unmarshalling into structs, it is very efficient for many use-cases where you just need to tweak a JSON document quickly. Paths support appending to arrays, creating intermediate structures if missing, and deleting (via the Delete function). ...

jsonapi provides helpers and reference code for working with the JSON:API specification, focusing on predictable serialization, deserialization, and linkage of related resources. It enforces the spec’s conventions—data, attributes, relationships, included—so clients and servers exchange data in a consistent, cacheable way. By centralizing how resource identifiers, links, and pagination metadata are emitted, it reduces subtle incompatibilities between services. The library favors explicit schemas and type-safe bindings where possible, which helps large teams avoid drift in field names and relationship structures. ...

A Java open-source library which makes encoding and decoding Java data-structures to and from JSON text easy and intuitive.