Search Results for "quality"

A powerful cross-platform UI toolkit for building native-quality iOS, Android, and Progressive Web Apps with HTML, CSS, and JavaScript. With a low friction migration, Ionic 6 brings improved desktop support, new UI components, iOS/Android design enhancements, performance and bundling improvements, and so much more. Free and open-source, Ionic offers a library of mobile-optimized UI components, gestures, and tools for building fast highly interactive apps.

Ionic is an open source mobile app development framework based on Web components that makes it easy to build fast, top quality native and progressive web apps. It uses web technologies that significantly improve design, performance and usability.

Material Components for Android delivers Material Design’s popular and reliable design and development resources to Android developers. With Material Design’s modular and customizable UI components, Android developers can create beautiful, high quality products faster and easier. Developed by a core team of engineers and UX designers at Google, Material Components enable developers to achieve a more reliable development workflow for building exceptional and highly functional apps. Material Components for Android is a drop-in replacement for Android's Design Support Library, offering tried and trusted Material Design guidelines and components.

JUCE is an open-source cross-platform C++ application framework for creating high-quality desktop and mobile applications, including VST, VST3, AU, AUv3, RTAS and AAX audio plug-ins. JUCE can be easily integrated with existing projects via CMake, or can be used as a project generation tool via the Projucer, which supports exporting projects for Xcode (macOS and iOS), Visual Studio, Android Studio, Code::Blocks and Linux Makefiles as well as containing a source code editor.

At Agoda, we have more than 1000 automated tests to ensure our application's quality and give our best experience to the user. All of them are written with Espresso from Google. Even though Espresso is working really well with our test, the code readability is quite low. Let's look at some of the examples of how we write the test. As Agoda developers, we want to improve not just our codebase quality, but also our implementation of tests as well.

Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models, such as financial time series loss model, deep pattern quality assessment model, long and short pattern combination evaluation model, long pattern stop-loss strategy model, short pattern covering strategy model, big data K-line pattern Historical portfolio fitting model, trading position mentality model, dopamine quantification model, inertial residual resistance support model, long-short swap revenge probability model, strong and weak confrontation model, trend angle change rate model, etc.