Top 20 NuGet atomic Packages

Provides useful structures for performing efficient concurrent operations. Original Project: https://github.com/etishor/ConcurrencyUtilities, including a port of Java's LongAdder and Striped64 classes
The package is a part of the Saritasa Tools project. Saritasa.Tools.Common contains various utilities and extensions for DateTime conversion, strings manipulation, validation utils (Guard), parse with default, flow (memoize, retry), collection processing (chunk select), atomic (CAS, swap), strings h...
boost_atomic-vc141. Compiler: Visual Studio 2017 15.9.17.
boost_atomic-vc140. Compiler: Visual Studio 2015 Update 3.
boost_atomic-vc142. Compiler: Visual Studio 2019 16.3.6.
boost_atomic-vc100. Compiler: Visual Studio 2010 SP1.
boost_atomic-vc120. Compiler: Visual Studio 2013 Update 5.
Immutable persistent collections, algebraic sum-type aka descriminated union, Ref type and supportive extensions for performant functional programming in C#. Split from the DryIoc: https://github.com/dadhi/DryIoc
Razor assemblies for the .NET version of Pattern Lab
boost_atomic-vc110. Compiler: Visual Studio 2012 Update 4.
.NET version of Pattern Lab (Mustache)
Core assemblies for the .NET version of Pattern Lab
Helper libraries and templates to assist in developing BlockScripts for the game SpaceEngineers. Includes Mocked grid items to allow for indepth atomic testing of block scripts while easily pasting the logic into the game edit window. A locally installed copy of SpaceEngineers is required to compli...
Razor starter kit for the .NET version of Pattern Lab
Mustache starter kit for the .NET version of Pattern Lab
.NET version of Pattern Lab (Razor)
Write File Atomic (write-file-atomic) binding library for Bridge.NET projects.
Library for managing multithreaded program state; providing lock-free, fast, scalable data wrappers for shared variables.
Source code package. An extension for determining whether or not an object can be expressed as a single value.
Simplistic, atomic, interlocked counter that allows for huge numbers of operations to be performed using a "sharding" style approach to summation.