Collection of cross-platform routines to replicate a complex data structure. It traverses input data structure deeply producing a copy of it.
A library to easily normalize complex data structure.
Collection of cross-platform routines to select a sub-structure from a complex data structure. Use the module to transform a data structure with the help of a short query string.
Collection of light-weight routines to traverse complex data structure. LookerExtra extends Looker by extra routines based on look
Collection of cross-platform routines to select a sub-structure from a complex data structure. The module extends module Selector.
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
Collection of routines to traverse complex data structure. The module takes care of cycles in a data structure( recursions ) and can be used for comparison, cloning, serialization or operation on several similar data structures. Many other modules based o
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.
Useful snippets of complex data structures for algorithm contests
Generate visualization of complex data structure on the fly
A high-performance JavaScript library for packing and unpacking binary data with a schema-based approach. Optimized for both Node.js and browser environments, datapack provides a simple and efficient way to serialize and deserialize complex data structure
A standard way of representing success/failure results, where in the case of failure we might want to flag issues with multiple elements in a complex data structure.
Function to normalize complex data structure
Collection of strategies to convert complex data structures from one GDF ( generic data format ) to another GDF. You may use the module to serialize complex data structure to string or deserialize string back to the original data structure. Generic data f
A strongly typed library to write 'queries' on complex data structure. Including Consistency modifications (cascade delte, unset property on foreign key constraint violation)
Cookies Management in the browser (document.cookie) which supports complex data structure (objects) not only Strings
Use Custom Media Queries in CSS
Double-precision complex number functions.
Single-precision complex number functions.
The RAW complex numbers library
Return the real and imaginary components of a double-precision complex floating-point number.
Return the real and imaginary components of a single-precision complex floating-point number.
Unopinionated Accessible Tree Component with Multi-Select and Drag-And-Drop
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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