Typewise-structured sorting for arbitrarily complex data structures
Binary serialization which sorts bytewise for arbirarily complex data structures
Useful snippets of complex data structures for algorithm contests
Collection of cross-platform routines to resolve complex data structures.
Data transformer for complex data structures
Node-RED node for flattening complex data structures
Type-safe Lens API for immutable updates in complex data structures
Standardized abstract interface and collection of strategies to convert complex data structures from one generic data format ( GDF ) to another generic data format. You may use the module to serialize complex data structure to string or deserialize string
Runtime type guards and checks for complex data structures.
Collection of cross-platform routines to resolve complex data structures. It takes a complex data structure, traverses it and resolves all strings having inlined special substrings. Use the module to resolve your templates.
A TypeScript-based filtering engine that provides a flexible, type-safe way to filter complex data structures using declarative criteria. Perfect for building advanced search interfaces, data filtering systems, or query builders.
A fully typescript typed react solution for interacting with complex data-structures
Parse CSV files into nested JSON objects with support for dot notation, arrays, and complex data structures
Utility to save your complex data structures during normalization
Hierarchical, rule-based, data-driven validator for complex data structures with support for nested scopes and recursion
A TypeScript library for managing local and session storage with complex data structures.
Package made to work with deep comparisons of complex data structures
titan-valid is a robust validation library built specifically for the Titan ecosystem. It provides a simple, fluent API for validating complex data structures with meaningful error messages. It is pure JavaScript, fast, and dependency-free.
A simple way to send complex data structures to backend server
`@cch137/shuttle` is a lightweight TypeScript library designed for efficient serialization and deserialization of complex data structures. It supports various data types including numbers, strings, arrays, objects, sets, maps, and more. Shuttle also provi
Implementation of Complex Data Structures and Algorithms for Web
Declarative JSON transformation engine that reshapes and maps complex data structures with nested resolution, type casting, recursion, and more. Ideal for APIs, SDKs, and frontend shaping.
A lightweight and efficient data serialization library for complex data structures.
StreamWise Core is a powerful and flexible pipeline library for data processing. It allows you to effortlessly build data pipelines that can handle any type of data, from simple numbers and strings to complex data structures.
SuperDiff is a gem that hooks into RSpec to intelligently display the differences between two data structures of any type.
This gem lets you declaratively specify validations for complex data structures, like those returned from an api.
DeepOpenStruct is a simple library for creating easy-to-use data structures from complex sets of nested Hashes and Arrays. It is particularly suitable for creating easy-to-use data structures from YAML files, and as such is a useful tool for creating simple reflective API wrappers.
Hari is a tool to abstract complex relationships between Ruby objects onto Redis data structures. It allows for expressive querying of those relationships as well, in an easy way. It is mostly geared towards typical social networking concepts like news feeds, activity logs, friends of friends, mutual friends, and so on.
MongoidNestedFields allows you to handle complex data structures inside one field in MongoDB. It also validates whole object graph on field validation
json_data_extractor makes it easy to extract data from complex JSON structures, such as API responses or configuration files, using a schema that defines the path to the data and any necessary transformations. The schema is defined as a simple Ruby hash that maps keys to paths and optional modifiers.
Rulix lets you fold complex rulesets onto complex data structures; useful for validation, data sanitization, and mutation.
Rails provides an excellent XML Builder by default to build RSS and ATOM feeds, but nothing to help you build complex and custom JSON data structures. The standard to_json works well, but can get very verbose when you need full control of what is generated. JSON Builder hopes to solve that problem.
The Collection Framework for Ruby to implement the complex Data Structures easily
Provides flexible command-line argument generation with support for complex data structures
ActiveRecord-Deepstore enhances ActiveRecord models with powerful functionality for handling deeply nested data structures within a database column. It provides methods for storing, accessing, and managing deeply nested data, making it easier to work with complex data structures in your Rails applications. With ActiveRecord-Deepstore, you can seamlessly store nested hashes in database columns, access nested data with simple method calls, track changes to nested attributes, and much more. This gem simplifies the handling of complex data structures, improving the maintainability and readability of your Rails codebase.
Andromeda is a light weight framework for complex event processing on multicore architectures. Andromeda users construct networks of plans that are interconnected via endpoint spots, describe how plans are scheduled onto threads, and process data by feeding data events to the resulting structure.
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