IKVM 7.4.5196

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See the version list below for details.
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dotnet add package IKVM --version 7.4.5196
                    
NuGet\Install-Package IKVM -Version 7.4.5196
                    
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="IKVM" Version="7.4.5196" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="IKVM" Version="7.4.5196" />
                    
Directory.Packages.props
<PackageReference Include="IKVM" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add IKVM --version 7.4.5196
                    
#r "nuget: IKVM, 7.4.5196"
                    
#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.
#addin nuget:?package=IKVM&version=7.4.5196
                    
Install IKVM as a Cake Addin
#tool nuget:?package=IKVM&version=7.4.5196
                    
Install IKVM as a Cake Tool

IKVM.NET is an implementation of Java for Mono and the Microsoft .NET Framework.

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

This package has no dependencies.

NuGet packages (97)

Showing the top 5 NuGet packages that depend on IKVM:

Package Downloads
TikaOnDotNet

Bare-bones IKVM Java-to-.NET port of Apache Tika. You'll want to install TikaOnDotNet.TextExtractor.

Stanford.NLP.CoreNLP

Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, and mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. Stanford CoreNLP is an integrated framework, which make it very easy to apply a bunch of language analysis tools to a piece of text. Starting from plain text, you can run all the tools on it with just two lines of code. Its analyses provide the foundational building blocks for higher-level and domain-specific text understanding applications.

IKVM.Maven.Sdk

Java SE 8 Virtual Machine for .NET (Maven SDK)

CuratorIkvm

Curator client library & recipes for Zookeeper. This is the IKVM version; which is to say that this is compiled from Java to .NET

OpenNLP.NET

The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services. OpenNLP also included maximum entropy and perceptron based machine learning.

GitHub repositories (7)

Showing the top 7 popular GitHub repositories that depend on IKVM:

Repository Stars
apache/lucenenet
Apache Lucene.NET
ikvmnet/ikvm
A Java Virtual Machine and Bytecode-to-IL Converter for .NET
vivami/SauronEye
Search tool to find specific files containing specific words, i.e. files containing passwords..
sergey-tihon/Stanford.NLP.NET
Stanford NLP for .NET
ArtifexSoftware/Ghostscript.NET
Ghostscript.NET - managed wrapper around the Ghostscript library (32-bit & 64-bit). Tested with Ghostscript versions < 10.
paulirwin/JavaToCSharp
Java to C# converter
fireshaper/Omnibus
Search for and download comics that are added to GetComics.info easily
Version Downloads Last updated
8.11.2 26,595 3/10/2025
8.11.1 28,437 2/16/2025
8.11.0 35,762 2/3/2025
8.11.0-pre.4 982 1/30/2025
8.11.0-pre.2 2,434 12/29/2024
8.11.0-pre.1 1,782 12/16/2024
8.10.3 119,678 10/31/2024
8.10.2 110,067 9/14/2024
8.10.1 126,365 8/20/2024
8.10.0 54,229 8/18/2024
8.10.0-pre.1 978 8/14/2024
8.9.1 81,483 7/14/2024
8.9.0 13,035 7/12/2024
8.9.0-pre.3 1,017 7/10/2024
8.9.0-pre.2 743 7/9/2024
8.9.0-pre.1 1,062 7/6/2024
8.8.1 30,471 5/31/2024
8.8.0 55,084 4/17/2024
8.8.0-pre.1 765 3/28/2024
8.7.6 3,090 4/8/2024
8.7.5 106,815 1/28/2024
8.7.4 9,842 1/18/2024
8.7.3 55,936 12/9/2023
8.7.2 3,286 12/8/2023
8.7.1 90,113 11/1/2023
8.7.0 2,053 10/30/2023
8.7.0-pre.3 385 10/27/2023
8.7.0-pre.2 840 10/16/2023
8.7.0-pre.1 685 10/10/2023
8.6.4 111,170 9/10/2023
8.6.3-tags-8-6-3-pre-24.1 944 8/10/2023
8.6.3-tags-8-6-3-pre-11.1 424 8/8/2023
8.6.2 102,376 7/9/2023
8.6.1 15,672 7/7/2023
8.6.0 14,123 7/5/2023
8.5.2 33,496 6/7/2023
8.5.1 8,251 6/2/2023
8.5.0 14,021 5/14/2023
8.5.0-prerelease0001 347 5/12/2023
8.5.0-develop2513 714 5/4/2023
8.5.0-develop1599 455 5/3/2023
8.5.0-develop0690 2,288 2/8/2023
8.4.5 105,037 2/7/2023
8.4.5-prerelease0001 365 2/6/2023
8.4.4 48,585 1/2/2023
8.4.4-prerelease0001 428 1/2/2023
8.4.3 1,328 1/1/2023
8.4.2 9,931 12/30/2022
8.4.1 4,997 12/28/2022
8.4.0 21,777 12/6/2022
8.4.0-prerelease0001 945 11/26/2022
8.3.3 33,493 11/20/2022
8.3.2 2,785 11/17/2022
8.3.1 5,265 11/17/2022
8.3.0 3,318 11/16/2022
8.3.0-prerelease0395 2,825 10/30/2022
8.3.0-prerelease0394 1,705 10/26/2022
8.2.3 145,304 10/25/2022
8.2.2-prerelease0856 1,685 10/12/2022
8.2.2-prerelease0553 2,372 9/21/2022
8.2.2-prerelease0396 1,465 9/20/2022
8.2.2-prerelease0241 1,457 9/5/2022
8.2.2-prerelease0163 1,521 8/26/2022
8.2.2-prerelease0106 1,306 8/26/2022
8.2.2-prerelease0051 1,482 8/25/2022
8.2.1 385,434 7/25/2022
8.2.0 86,279 7/3/2022
8.2.0-prerelease3420 5,483 7/2/2022
8.2.0-prerelease2777 5,055 6/30/2022
8.2.0-prerelease2138 4,708 6/28/2022
8.2.0-prerelease1515 5,053 6/24/2022
8.2.0-prerelease0911 8,077 6/16/2022
8.2.0-prerelease0899 7,105 6/15/2022
8.2.0-prerelease0892 2,429 6/14/2022
8.2.0-prerelease0809 2,786 6/6/2022
8.2.0-prerelease0392 3,231 5/29/2022

The release notes can be found here: http://ikvm.net/release/7.4.5196.0