boost_serialization-vc140 1.70.0

There is a newer version of this package available.
See the version list below for details.
dotnet add package boost_serialization-vc140 --version 1.70.0
NuGet\Install-Package boost_serialization-vc140 -Version 1.70.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="boost_serialization-vc140" Version="1.70.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add boost_serialization-vc140 --version 1.70.0
#r "nuget: boost_serialization-vc140, 1.70.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install boost_serialization-vc140 as a Cake Addin
#addin nuget:?package=boost_serialization-vc140&version=1.70.0

// Install boost_serialization-vc140 as a Cake Tool
#tool nuget:?package=boost_serialization-vc140&version=1.70.0

boost_serialization-vc140. Compiler: Visual Studio 2015 Update 3.

Product Compatible and additional computed target framework versions.
native native is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (2)

Showing the top 2 NuGet packages that depend on boost_serialization-vc140:

Package Downloads
boost-vc140

boost-vc140. Compiler: Visual Studio 2015 Update 3.

mlpack-windows

mlpack is an intuitive, fast, scalable C++ machine learning library, meant to be a machine learning analog to LAPACK. It aims to implement a wide array of machine learning methods and functions as a swiss army knife for machine learning researchers.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on boost_serialization-vc140:

Repository Stars
freezy/dmd-extensions
A toolbox for virtual pinball dot matrix displays.
Version Downloads Last updated
1.84.0 533 12/16/2023
1.83.0 670 8/15/2023
1.82.0 804 4/19/2023
1.81.0 760 12/16/2022
1.80.0 1,040 8/17/2022
1.79.0 1,520 4/20/2022
1.78.0 1,794 12/19/2021
1.77.0 2,423 8/18/2021
1.76.0 2,002 4/21/2021
1.75.0 1,571 4/6/2021
1.74.0 959 4/6/2021
1.73.0 1,271 4/4/2021
1.72.0 2,656 4/19/2020
1.71.0 2,335 10/27/2019
1.70.0 2,879 5/2/2019
1.69.0 3,457 2/11/2019
1.68.0 5,216 8/15/2018
1.67.0 5,234 4/19/2018
1.66.0 3,914 1/2/2018
1.65.1 3,706 9/8/2017
1.65.0 2,051 8/22/2017
1.64.0 3,952 4/20/2017
1.63.0 10,504 1/5/2017
1.62.0 3,424 10/3/2016
1.61.0 9,746 6/14/2016
1.60.0 41,960 12/19/2015
1.59.0 3,863 8/15/2015