dotnet add package SolrNet.Ninject --version 1.1.1
NuGet\Install-Package SolrNet.Ninject -Version 1.1.1
<PackageReference Include="SolrNet.Ninject" Version="1.1.1" />
paket add SolrNet.Ninject --version 1.1.1
#r "nuget: SolrNet.Ninject, 1.1.1"
// Install SolrNet.Ninject as a Cake Addin #addin nuget:?package=SolrNet.Ninject&version=1.1.1 // Install SolrNet.Ninject as a Cake Tool #tool nuget:?package=SolrNet.Ninject&version=1.1.1
Ninject module for SolrNet. SolrNet is a .NET Open Source client for Apache Solr. This version of SolrNet is compatible with Solr 1.x to Solr 7.x.
|Product||Versions Compatible and additional computed target framework versions.|
|.NET||net5.0 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed.|
|.NET Core||netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed.|
|.NET Standard||netstandard2.0 is compatible. netstandard2.1 was computed.|
|.NET Framework||net46 is compatible. net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed.|
|MonoAndroid||monoandroid was computed.|
|MonoMac||monomac was computed.|
|MonoTouch||monotouch was computed.|
|Tizen||tizen40 was computed. tizen60 was computed.|
|Xamarin.iOS||xamarinios was computed.|
|Xamarin.Mac||xamarinmac was computed.|
|Xamarin.TVOS||xamarintvos was computed.|
|Xamarin.WatchOS||xamarinwatchos was computed.|
NuGet packages (2)
Showing the top 2 NuGet packages that depend on SolrNet.Ninject:
SoundFingerprinting is a C# framework that implements an efficient algorithm of audio fingerprinting and identification. Designed for developers, enthusiasts, researchers in the fields of audio processing, data mining, digital signal processing.
This package is not used by any popular GitHub repositories.