Open Source Java Libraries

libjpeg-turbo is a JPEG image codec that uses SIMD instructions (MMX, SSE2, NEON, AltiVec) to accelerate baseline JPEG compression and decompression on x86, x86-64, ARM, and PowerPC systems. On such systems, libjpeg-turbo is generally 2-6x as fast as libjpeg, all else being equal. On other types of systems, libjpeg-turbo can still outperform libjpeg by a significant amount, by virtue of its highly-optimized Huffman coding routines. In many cases, the performance of libjpeg-turbo rivals that of proprietary high-speed JPEG codecs. libjpeg-turbo implements both the traditional libjpeg API as well as the less powerful but more straightforward TurboJPEG API. libjpeg-turbo also features colorspace extensions that allow it to compress from/decompress to 32-bit and big-endian pixel buffers (RGBX, XBGR, etc.), as well as a full-featured Java interface.

Vincent Radio {Adrix.NT} Sources Library & Applications : Delphi C++ Java VRCalc++ C# VRCalc++ Object Oriented Scripting Language - Engine Source Pascal Code - Delphi Packages Build Prjs - VRCalc++ Scripted System Std RT Library - Guides & Docs (CHM, PDF, DOCX) - VCL & FMX (FireMonkey) Support - Script Test Code (Lang RTL VCL FMX) - Visual Stage Project : VCL & FMX Paged Lists & Iterators : Delphi C++ Java C# Multi-Dim Arrays & Direct Graph Classes : Delphi C++ Java VRCalc++ C# Delphi Drag&Drop Applications - VRCalc++ Script Executors: Terminal, VCL, FMX - VRMultiEdit - VRLazyCodeEditor - VR Astro Vision (Astrology) - Paged List Test - VRMosaic : Delphi C++Builder Java C# +with auto resolver - VR Free Chess 2D - VRBlocks - VRGraphStage - VR TTT OX + icons & bitmaps + VCL VisualStyles + Build Projects + instructions to build projects to build projects - Delphi : RAD Studio - C++ : Dev-C++ - java : NetBeans - C# : MS/VS adrixnt@hotmail.it

Open utilities and/or examples for GeneXus, this includes: Example procedures Usercontrols Utilities Others...

DROP implements the model libraries and provides systems for fixed income valuation and adjustments, asset allocation and transaction cost analytics, and supporting libraries in numerical optimization and statistical learning. DROP is composed of four main libraries: [Asset Allocation] (https://lakshmidrip.github.io/DROP/AssetAllocationModule.html) [Fixed Income Analytics] (https://lakshmidrip.github.io/DROP/FixedIncomeModule.html) [Numerical Optimization] (https://lakshmidrip.github.io/DROP/NumericalOptimizerModule.html) [Statistical Learning] (https://lakshmidrip.github.io/DROP/StatisticalLearningModule.html)

Periodic background tasks for React Native apps, cross-platform (iOS and Android), which run even when the app is closed. This library allows the scheduling of a single periodic task, which executes when the app is in the background or closed, no more frequently than every 15 minutes. Network, AsyncStorage etc can be used (anything except UI), so perfect for things like a background data sync for offline support.