Top 20 NuGet task Packages

Core threading types based on System.Threading.Channels: EventProcessor, StateMachine, ExecutionQueue and Sequencer - a scheduler that coordinates the execution of synchronous and asynchronous tasks using a hierarchical key that defines their relative concurrency.

Concrete Implementations for the H.Necessaire Notifications API

An API for the Data Serialization

Task scheduling for .NET core.

A forked version of PetaPoco http://www.toptensoftware.com/petapoco/ - Based on v5 branch. Supports Async and Multipoco operations. Includes support for StoredProc extensions and XML and Table-Valued Parameter queries.

This package provides a C# based durable task framework for writing long running applications.

Library for generating cron expressions

This package provides a C# based durable task framework for writing long running applications.

This package provides a C# based durable Task framework for writing long running applications. It is built from an OSS version of https://www.nuget.org/packages/ServiceBus.DurableTask.

A set of Roslyn analyzers for diagnostic/fix of various asynchronous practices.

A simple and flexible library for scheduling and executing multiple concurrent tasks within a .net application.

Provides an implementation of the messaging gateway for decoupled invocation in the Paramore.Brighter pipeline, using Kafka.

Extension for Moq that allow to easily mock async methods

Reporting addition to Navvy (a long-running tasks execution framework).

Easily retry your asynchronous operation

Source code package. Extension methods for timing out when waiting on a Task, with bypass that doesn't time out when the debugger is attached. Useful to detect deadlocked/slow tests.

Runtime check if an object or type can be awaited.

A .NET Standard 2.1 library that defines abstractions and implementations to manage startup tasks

Provides an easy way to enqueue tasks through parallelization

This is a micro library that solves a single problem: How to run a large number of async tasks in parallel without running too many at the same time - and without running out of memory.