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Catch us in the #rxnet channel over at http://reactiveui.net/slack
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- NuGet v3 feed url (VS 2015+):
Due to the overwhelming pain that fixing #205 - Implement assembly version strategy caused, we have refactored the libraries into a single library
System.Reactive. To prevent breaking existing code that references the v3 libraries, we have facades with TypeForwarders to the new assembly. If you have a reference to a binary built against v3.0, then use the new
Rx 4.1 supports the following platforms
- .NET Framework 4.6+
- .NET Standard 2.0+ (including .NET Core, Xamarin and others)
Notably, Windows 8, Windows Phone 8 and legacy PCL libraries are no longer supported.
v3.0 breaking changes
The NuGet packages have changed their package naming in the move from v2.x.x to v3.0.0
This brings the NuGet package naming in line with NuGet guidelines and also the dominant namespace in each package. The strong name key has also changed, which is considered a breaking change. However, there are no expected API changes, therefore, once you make the NuGet change, no code changes should be necessary.
A Brief Intro
The Reactive Extensions (Rx) is a library for composing asynchronous and event-based programs using observable sequences and LINQ-style query operators. Using Rx, developers represent asynchronous data streams with Observables, query asynchronous data streams using LINQ operators, and parameterize the concurrency in the asynchronous data streams using Schedulers. Simply put, Rx = Observables + LINQ + Schedulers.
Whether you are authoring a traditional desktop or web-based application, you have to deal with asynchronous and event-based programming from time to time. Desktop applications have I/O operations and computationally expensive tasks that might take a long time to complete and potentially block other active threads. Furthermore, handling exceptions, cancellation, and synchronization is difficult and error-prone.
Using Rx, you can represent multiple asynchronous data streams (that come from diverse sources, e.g., stock quote, tweets, computer events, web service requests, etc.), and subscribe to the event stream using the
IObserver<T> interface. The
IObservable<T> interface notifies the subscribed
IObserver<T> interface whenever an event occurs.
Because observable sequences are data streams, you can query them using standard LINQ query operators implemented by the Observable extension methods. Thus you can filter, project, aggregate, compose and perform time-based operations on multiple events easily by using these standard LINQ operators. In addition, there are a number of other reactive stream specific operators that allow powerful queries to be written. Cancellation, exceptions, and synchronization are also handled gracefully by using the extension methods provided by Rx.
Rx complements and interoperates smoothly with both synchronous data streams (
IEnumerable<T>) and single-value asynchronous computations (
Task<T>) as the following diagram shows:
|Single return value||Multiple return values|
Additional documentation, video, tutorials and HOL are available on MSDN.
Flavors of Rx
- Rx.NET: (this repository) The Reactive Extensions (Rx) is a library for composing asynchronous and event-based programs using observable sequences and LINQ-style query operators.
- RxJava: Reactive Extensions for the JVM – a library for composing asynchronous and event-based programs using observable sequences for the Java VM.
- RxScala: Reactive Extensions for Scala – a library for composing asynchronous and event-based programs using observable sequences
- RxCpp: The Reactive Extensions for Native (RxCpp) is a library for composing asynchronous and event-based programs using observable sequences and LINQ-style query operators in both C and C++.
- Rx.rb: A prototype implementation of Reactive Extensions for Ruby (Rx.rb).
- RxPy: The Reactive Extensions for Python 3 (Rx.Py) is a set of libraries to compose asynchronous and event-based programs using observable collections and LINQ-style query operators in Python 3.
- Ix.NET: (included in this repository) The Interactive Extensions (Ix) is a .NET library which extends LINQ to Objects to provide many of the operators available in Rx but targeted for IEnumerable.
- IxCpp: An implementation of LINQ for Native Developers in C++
- Tx: a set of code samples showing how to use LINQ to events, such as real-time standing queries and queries on past history from trace and log files, which targets ETW, Windows Event Logs and SQL Server Extended Events.
- LINQ2Charts: an example for Rx bindings. Similar to existing APIs like LINQ to XML, it allows developers to use LINQ to create/change/update charts in an easy way and avoid having to deal with XML or other underneath data structures. We would love to see more Rx bindings like this one.
- Clone the sources:
git clone https://github.com/dotnet/reactive.git
- Building, testing and debugging the sources
Some of the best ways to contribute are to try things out, file bugs, and join in design conversations.
Looking for something to work on? The list of up for grabs issues is a great place to start.
This project has adopted a code of conduct adapted from the Contributor Covenant to clarify expected behavior in our community. This code of conduct has been adopted by many other projects. For more information see the Code of conduct.
System.Reactive is part of the .NET Foundation. Other projects that are associated with the foundation include the Microsoft .NET Compiler Platform ("Roslyn") as well as the Microsoft ASP.NET family of projects, Microsoft .NET Core & Xamarin Forms.
New York, USA
Daniel C. Weber
The core team members, System.Reactive contributors and contributors in the ecosystem do this open source work in their free time. If you use System.Reactive for serious tasks, and you'd like us to invest more time on it, please donate. This project increases your income/productivity too. It makes development and applications faster and it reduces the required bandwidth.
This is how we use the donations:
- Allow the core team to work on System.Reactive
- Thank contributors if they invested a large amount of time in contributing
- Support projects in the ecosystem that are of great value for users
- Support projects that are voted most (work in progress)
- Infrastructure cost
- Fees for money handling
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