NuGet Packages By Dependencies
FM.SL4 [6 dependencies]
Taskell [6 dependencies]
Taskell, Composition Extensions for the Task Parallel Library
mongodb.TypeScript.DefinitelyTyped [6 dependencies]
TypeScript Definitions (d.ts) for mongodb. Generated based off the DefinitelyTyped repository [git commit: dc271c6b4b1e8b92b365af69a3b740726be6dd5a]. http://github.com/DefinitelyTyped
Microsoft.VisualStudio.Language.Intellisense [6 dependencies]
Microsoft® Visual Studio® Editor Platform
Prism 6 for Windows UWP [6 dependencies]
Prism is a fully open source version of the Prism guidance originally produced by Microsoft Patterns & Practices. Prism provides an implementation of a collection of design patterns that are helpful in writing well structured and maintainable XAML applications, including MVVM, dependency injection,...
Stark.Core [6 dependencies]
Core components for Stark applications.
runtime.native.System.Security.Cryptography.OpenSsl [6 dependencies]
Internal implementation package not meant for direct consumption. Please do not reference directly.
When using NuGet 3.x this package requires at least version 3.4.
Microsoft.Framework.Logging.Console [6 dependencies]
MicCodes.Logger [6 dependencies]
Magicodes日志基础组件
ANSH.DataBase.EFCore [6 dependencies]
解决方案基于NET Standard 2.0开发,主要是将一些项目开发中常用的方法进行整合。
Breeze Library Data Module [6 dependencies]
Breeze Library.Core - Data
PayPalCheckoutSdk [6 dependencies]
Package Description
Catharsium.Util.IO [6 dependencies]
Package Description
Regulus.Network [6 dependencies]
network.
Joker [6 dependencies]
.NET helper classes for modular and reactive applications
OpheliaSuiteV2.Core.SSB.Lib [6 dependencies]
Librería de SSB
go2cs core library [6 dependencies]
Go core library functions in .NET for use with go2cs
Zaabee.RabbitMQ.Serializer.Abstraction [6 dependencies]
The ISerializer for Zaaby.RabbitMQ
datatables.net-responsive [6 dependencies]
This is Responsive for DataTables
DiffSharp.Core [6 dependencies]
DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/