RabbitMQ.Dataflows VS Sharp.Pipeline

Compare RabbitMQ.Dataflows vs Sharp.Pipeline and see what are their differences.

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RabbitMQ.Dataflows Sharp.Pipeline
4 1
12 0
- -
9.5 10.0
3 days ago almost 8 years ago
C# C#
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

RabbitMQ.Dataflows

Posts with mentions or reviews of RabbitMQ.Dataflows. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-19.

Sharp.Pipeline

Posts with mentions or reviews of Sharp.Pipeline. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-06.

What are some alternatives?

When comparing RabbitMQ.Dataflows and Sharp.Pipeline you can also consider the following projects:

FFmpeg.NET - .NET wrapper for common ffmpeg tasks

ASP.NET Core - ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.

EasyCrypto - Easily encrypt/decrypt data and generate/hash/validate passwords

EasyData - EasyData open source framework for easy CRUD operations UI (and more) [Moved to: https://github.com/KorzhCom/EasyData]

Shuttle.Esb - A highly extensible service bus implementation.

MQTTFirstLook

EnumerableAsyncProcessor - Process Multiple Asynchronous Tasks in Various Ways - One at a time / Batched / Rate limited / Concurrently

AsyncEnumerable - Defines IAsyncEnumerable, IAsyncEnumerator, ForEachAsync(), ParallelForEachAsync(), and other useful stuff to use with async-await

Open.ChannelExtensions - A set of extensions for optimizing/simplifying System.Threading.Channels usage.