A comprehensive Delphi/FreePascal library for cross-platform development with utilities for mapping, configuration, threading, serialization, and more.
QuickLib is a comprehensive development library for Delphi and FreePascal that provides a suite of utilities to streamline application development. It solves common programming challenges by offering ready-made components for tasks like object mapping, configuration management, threading, serialization, and cloud integration, all with cross-platform support.
Delphi and FreePascal developers building cross-platform applications for desktop, mobile, or server environments who need productivity-boosting utilities and infrastructure components.
Developers choose QuickLib for its extensive feature set that eliminates boilerplate code, its strong cross-platform compatibility, and its integration with modern development practices like dependency injection and LINQ-style querying, all within the Delphi/FreePascal ecosystem.
Quick development library (AutoMapper, LinQ, IOC Dependency Injection, MemoryCache, Scheduled tasks, Json and Yml Config and Options pattern, Serializers, etc) with crossplatform support for Delphi/Firemonkey (Windows,Linux,OSX/IOS/Android) and freepascal (Windows/Linux).
Offers over 20 modules covering AutoMapper, DI, caching, cloud integration, and more, reducing the need for multiple external libraries as evidenced by the extensive README examples.
Supports Delphi and FreePascal across Windows, Linux, macOS, iOS, and Android, enabling shared codebases for diverse applications, with ongoing updates for new Delphi versions.
Includes 917 passing DUnitX tests and regular updates (e.g., RAD Studio 13 Florence support), indicating reliable code and active development commitment.
Features like LINQ-style querying, dependency injection via Quick.IOC, and configuration management with JSON/YAML align with contemporary development workflows.
The README notes 'partial support' for OSX/IOS, suggesting some utilities may not be fully functional or optimized on all claimed platforms.
The sheer number of modules and APIs, despite detailed documentation, can overwhelm newcomers or teams needing only subset functionalities, leading to integration complexity.
Features like in-memory caching with compression and extensive RTTI usage in serialization may introduce runtime overhead, unsuited for latency-sensitive applications.
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