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Swift type modelling the success/failure of arbitrary operations.
The main features of antitypical/result are: Data Structures, General Utilities.
Projects with overlapping indexed features include: nothings/stb — This project is a collection of portable, header-only C functions designed for integration into software projects… zenangst/differific — :fuelpump: Differific - a fast and convenient diffing framework. ankurp/dollar — Dollar is a functional programming library for Swift that provides a comprehensive toolkit for collection… mahmoud/glom — ☄️ Python's nested data operator (and CLI), for all your declarative restructuring needs. Got data? Glom it! ☄️. ra1028/differencekit — 💻 A fast and flexible O(n) difference algorithm framework for Swift collection. acidjunk/starlette-opentracing — Opentracing support for Starlette and FastApi.
☄️ Python's nested data operator (and CLI), for all your declarative restructuring needs. Got data? Glom it! ☄️
This project is a collection of portable, header-only C functions designed for integration into software projects without complex build dependencies or external linking requirements. It provides a suite of low-level utilities for graphics, audio, and data management, focusing on direct memory manipulation and zero-dependency portability. By utilizing a single-header distribution model, the library simplifies dependency management while allowing developers to maintain full control over memory allocation and binary size through compile-time configuration. The library distinguishes itself by off
Dollar is a functional programming library for Swift that provides a comprehensive toolkit for collection manipulation, string processing, mathematical calculations, and date and time management. It serves as a utility suite for filtering, aggregating, and restructuring arrays and dictionaries. The project implements functional programming patterns such as currying, memoization, and function composition. It also features a chainable wrapper interface that allows multiple data transformations to be applied sequentially before extracting a final result. The library covers a wide range of capab
💻 A fast and flexible O(n) difference algorithm framework for Swift collection.