Search Results for "mobile pattern"
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Showing 3 open source projects for "mobile pattern"
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Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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MvvmCross
The .NET MVVM framework for cross-platform solutions
Build clean, pixel perfect, native UIs. Share behavior and business logic in a single codebase across supported platforms, using the Model-View-ViewModel (MVVM) design pattern. MvvmCross is a framework specifically developed for Xamarin and the mobile ecosystem. It supports Xamarin.iOS, Xamarin.Android, Xamarin.Mac, Xamarin.Forms, Universal Windows Platform (UWP) and Windows Presentation Framework (WPF). MvvmCross is a cross-platform MVVM framework. It enables developers to create apps using the MVVM pattern on Xamarin.iOS, Xamarin.Android, Xamarin.Mac, Xamarin.Forms, Universal Windows Platform (UWP) and Windows Presentation Framework (WPF). ... -
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Swinject
Dependency injection framework for Swift with iOS/macOS/Linux
Swinject is a lightweight dependency injection framework for Swift. Dependency injection (DI) is a software design pattern that implements Inversion of Control (IoC) for resolving dependencies. In the pattern, Swinject helps your app split into loosely-coupled components, which can be developed, tested, and maintained more easily. Swinject is powered by the Swift generic type system and first-class functions to define the dependencies of your app simply and fluently. Services must be... -
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abu
Abu quantitative trading system (stocks, options, futures, bitcoin)
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,...
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