SharpZipLib.NETStandard 1.0.7

SharpZipLib (#ziplib, formerly NZipLib) is a compression library for Zip, GZip, BZip2, and Tar written entirely in C# for .NET. It is implemented as an assembly (installable in the GAC), and thus can easily be incorporated into other projects (in any .NET language)

Install-Package SharpZipLib.NETStandard -Version 1.0.7
dotnet add package SharpZipLib.NETStandard --version 1.0.7
<PackageReference Include="SharpZipLib.NETStandard" Version="1.0.7" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add SharpZipLib.NETStandard --version 1.0.7
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: SharpZipLib.NETStandard, 1.0.7"
For F# scripts that support #r syntax, copy this into the source code to reference the package.

Release Notes

This is a pre-release version!

Please see https://github.com/icsharpcode/SharpZipLib/wiki/Release-1.0 for more information.

NuGet packages (34)

Showing the top 5 NuGet packages that depend on SharpZipLib.NETStandard:

Package Downloads
Microting.eForm
Package Description
Neon.Common
Useful classes used by other neonLIBRARY packages as well as neonFORGE applications
Mosaik.Core
Package Description
Backend.Fx.Testing
Provides some utilities to test a Backend.Fx based application: - In memory persistence layer - test data generation - xunit logging
QCommon.Standard
主要的常用模块,mina,nlog

GitHub repositories (3)

Showing the top 3 popular GitHub repositories that depend on SharpZipLib.NETStandard:

Repository Stars
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
accord-net/framework
Machine learning, computer vision, statistics and general scientific computing for .NET
Sergio0694/NeuralNetwork.NET
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Version History

Version Downloads Last updated
1.0.7 1,317,617 10/23/2017
1.0.4 820 10/23/2017
0.86.0.1 142,690 11/6/2016
0.86.0 1,426 11/6/2016