A .NET library that brings Reactive Extensions (Rx) to collections, enabling reactive and declarative in-memory data management.
Dynamic Data is a .NET library that integrates Reactive Extensions (Rx) with collections, allowing developers to manage in-memory data reactively. It solves the complexity of dynamically updating collections with operations like filtering, sorting, and transformation by providing a declarative, operator-based API that automatically reflects changes in source data.
.NET developers building applications that require real-time updates to in-memory collections, such as trading systems, data dashboards, or any UI-intensive application with dynamic data sources.
Developers choose Dynamic Data because it drastically reduces boilerplate code for managing dynamic collections, offers over 60 collection-based operators for complex data shaping, and seamlessly integrates with Rx for a fluent, composable, and thread-safe data management experience.
Reactive collections based on Rx.Net
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Offers over 60 operators for filtering, sorting, grouping, and more, enabling complex data manipulations with minimal code, as demonstrated in the trading example with chained operators.
Leverages Reactive Extensions for composable, fluent data streams that automatically reflect source changes, reducing boilerplate code for dynamic collections.
Supports multi-threaded scenarios with operators like ObserveOnDispatcher, ensuring safe UI binding and data updates across different threads.
Features like DisposeMany automatically clean up disposable objects when removed from collections, preventing memory leaks in transformations.
Requires proficiency in Reactive Extensions and reactive programming patterns, which can be a significant barrier for teams unfamiliar with these concepts.
The observable model introduces latency compared to direct collection manipulation, potentially impacting high-frequency updates or large datasets.
Limited to .NET ecosystems and tightly coupled with Rx, making it unsuitable for projects using other technologies or platforms.