IKVM 7.2.4630.5

There is a newer version of this package available.
See the version list below for details.
dotnet add package IKVM --version 7.2.4630.5
NuGet\Install-Package IKVM -Version 7.2.4630.5
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="7.2.4630.5" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add IKVM --version 7.2.4630.5
#r "nuget: IKVM, 7.2.4630.5"
#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 IKVM as a Cake Addin
#addin nuget:?package=IKVM&version=7.2.4630.5

// Install IKVM as a Cake Tool
#tool nuget:?package=IKVM&version=7.2.4630.5

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 (92)

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.

CuratorIkvm

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

Stanford.NLP.NER

Stanford NER (also known as CRFClassifier) is a Java implementation of a Named Entity Recognizer. Named Entity Recognition (NER) labels sequences of words in a text which are the names of things, such as person and company names, or gene and protein names. The software provides a general (arbitrary order) implementation of linear chain Conditional Random Field (CRF) sequence models, coupled with well-engineered feature extractors for Named Entity Recognition.

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 (5)

Showing the top 5 popular GitHub repositories that depend on IKVM:

Repository Stars
ikvmnet/ikvm
A Java Virtual Machine and Bytecode-to-IL Converter for .NET
msasanmh/SecureDNSClient
A GUI for DNSLookup, DNSProxy, DNSCrypt and GoodbyeDPI.
vivami/SauronEye
Search tool to find specific files containing specific words, i.e. files containing passwords..
paulirwin/JavaToCSharp
Java to C# converter
fireshaper/Omnibus
Search for and download comics that are added to GetComics.info easily
Version Downloads Last updated
8.8.0-pre.1 0 3/28/2024
8.7.5 15,986 1/28/2024
8.7.4 3,259 1/18/2024
8.7.3 12,062 12/9/2023
8.7.2 822 12/8/2023
8.7.1 28,289 11/1/2023
8.7.0 1,113 10/30/2023
8.7.0-pre.3 269 10/27/2023
8.7.0-pre.2 688 10/16/2023
8.7.0-pre.1 537 10/10/2023
8.6.4 36,881 9/10/2023
8.6.3-tags-8-6-3-pre-24.1 755 8/10/2023
8.6.3-tags-8-6-3-pre-11.1 275 8/8/2023
8.6.2 43,401 7/9/2023
8.6.1 5,322 7/7/2023
8.6.0 1,245 7/5/2023
8.5.2 16,973 6/7/2023
8.5.1 5,074 6/2/2023
8.5.0 8,849 5/14/2023
8.5.0-prerelease0001 213 5/12/2023
8.5.0-develop2513 526 5/4/2023
8.5.0-develop1599 288 5/3/2023
8.5.0-develop0690 1,908 2/8/2023
8.4.5 55,246 2/7/2023
8.4.5-prerelease0001 234 2/6/2023
8.4.4 28,176 1/2/2023
8.4.4-prerelease0001 302 1/2/2023
8.4.3 456 1/1/2023
8.4.2 7,395 12/30/2022
8.4.1 1,641 12/28/2022
8.4.0 14,720 12/6/2022
8.4.0-prerelease0001 733 11/26/2022
8.3.3 18,888 11/20/2022
8.3.2 2,455 11/17/2022
8.3.1 3,231 11/17/2022
8.3.0 2,776 11/16/2022
8.3.0-prerelease0395 2,186 10/30/2022
8.3.0-prerelease0394 1,493 10/26/2022
8.2.3 102,122 10/25/2022
8.2.2-prerelease0856 1,503 10/12/2022
8.2.2-prerelease0553 2,167 9/21/2022
8.2.2-prerelease0396 1,304 9/20/2022
8.2.2-prerelease0241 1,285 9/5/2022
8.2.2-prerelease0163 1,316 8/26/2022
8.2.2-prerelease0106 1,133 8/26/2022
8.2.2-prerelease0051 1,325 8/25/2022
8.2.1 212,452 7/25/2022
8.2.0 50,157 7/3/2022
8.2.0-prerelease3420 4,812 7/2/2022
8.2.0-prerelease2777 4,316 6/30/2022
8.2.0-prerelease2138 4,147 6/28/2022
8.2.0-prerelease1515 4,372 6/24/2022
8.2.0-prerelease0911 7,313 6/16/2022
8.2.0-prerelease0899 6,700 6/15/2022
8.2.0-prerelease0892 2,093 6/14/2022
8.2.0-prerelease0809 2,467 6/6/2022
8.2.0-prerelease0392 2,765 5/29/2022
8.1.5717 2,919,438 8/26/2015
8.0.5449.1 165,034 1/12/2015
8.0.5449 11,275 12/2/2014
7.4.5196 97,330 3/24/2014
7.3.4830 279,300 3/28/2013
7.2.4630.5 204,973 12/10/2012
7.1.4532.2 38,851 9/17/2012
7.0.4335 5,784 12/29/2011
0.46.0.1 53,798 8/24/2011