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Webapp Watcher (WAW) is a Java EE Filter which alows you to log the requests response times and Java stack traces of a Java EE web application (.war). You can later compute usage statistics of the web application, and also track down potential bugs with the tool "waw-analyzer"

MeCab: Yet Another Part-of-Speech and Morphological Analyzer MeCab is a fast and customizable Japanese morphological analyzer. MeCab is designed for generic purpose and applied to variety of NLP tasks, such as Kana-Kanji conversion. MeCab provides parameter estimation functionalities based on CRFs and HMM

We’re retiring the Azure Video Analyzer preview service; you're advised to transition your applications off of Video Analyzer by 01 December 2022. This SDK is no longer maintained and won’t work after the service is retired. To learn how to transition off, please refer to: https://aka.ms/azsdk/videoanalyzer/transitionoffguidance This package contains Microsoft Azure SDK for Video Analyzer Management SDK. For documentation on how to use this package, please see https://aka.ms/azsdk/java/mgmt. Azure Video Analyzer provides a platform for you to build intelligent video applications that span the edge and the cloud. Package tag package-preview-2021-11.

Provides modules that bring language support for Japanese using the Solr/Lucene kuromoji analyzer. This includes a (1) Bundle providing the Solr Analyzer; (2) an NLP processing Engine that Tokenizes, detects sentences, POS taggs, extracts Named Entities and Lemmatizes Japanese text (3) an LabelTokenizer needed to match tokens of the analyzed text with the labels of Entities in the matched vocabularies.

Provides modules that allow basic language support for Chinese using the Solr/Lucene smartcn analyzer. This includes a (1) Bundle providing the Solr Analyzer; (2) an NLP processing Engine that detects Sentences and Tokenizes Chinese Text and (3) an LabelTokenizer needed to match tokens of the analyzed text with the labels of Entities in the matched vocabularies.

Azure Video Analyzer provides a platform to build intelligent video applications that span the edge and the cloud. The platform offers the capability to capture, record, and analyze live videos along with publishing the results, video, and video analytics, to Azure services in the cloud or the edge. It is designed to be an extensible platform, enabling you to connect different video analysis edge modules such as Cognitive services containers, custom edge modules built by you with open-source machine learning models or custom models trained with your own data. You can then use them to analyze live video without worrying about the complexity of building and running a live video pipeline. Use the client library for Video Analyzer Edge to simplify interactions with the Microsoft Azure IoT SDKs (https://github.com/azure/azure-iot-sdks) and programmatically construct pipeline topologies and live pipelines.

PMD is an extensible multilanguage static code analyzer. It finds common programming flaws like unused variables, empty catch blocks, unnecessary object creation, and so forth. It's mainly concerned with Java and Apex, but supports 16 other languages. It comes with 400+ built-in rules. It can be extended with custom rules. It uses JavaCC and Antlr to parse source files into abstract syntax trees (AST) and runs rules against them to find violations. Rules can be written in Java or using a XPath query. Currently, PMD supports Java, JavaScript, Salesforce.com Apex and Visualforce, Kotlin, Swift, Modelica, PLSQL, Apache Velocity, JSP, WSDL, Maven POM, HTML, XML and XSL. Scala is supported, but there are currently no Scala rules available. Additionally, it includes CPD, the copy-paste-detector. CPD finds duplicated code in Coco, C/C++, C#, Dart, Fortran, Gherkin, Go, Groovy, HTML, Java, JavaScript, JSP, Julia, Kotlin, Lua, Matlab, Modelica, Objective-C, Perl, PHP, PLSQL, Python, Ruby, Salesforce.com Apex and Visualforce, Scala, Swift, T-SQL, Typescript, Apache Velocity, WSDL, XML and XSL.

PMD is an extensible multilanguage static code analyzer. It finds common programming flaws like unused variables, empty catch blocks, unnecessary object creation, and so forth. It's mainly concerned with Java and Apex, but supports 16 other languages. It comes with 400+ built-in rules. It can be extended with custom rules. It uses JavaCC and Antlr to parse source files into abstract syntax trees (AST) and runs rules against them to find violations. Rules can be written in Java or using a XPath query. Currently, PMD supports Java, JavaScript, Salesforce.com Apex and Visualforce, Kotlin, Swift, Modelica, PLSQL, Apache Velocity, JSP, WSDL, Maven POM, HTML, XML and XSL. Scala is supported, but there are currently no Scala rules available. Additionally, it includes CPD, the copy-paste-detector. CPD finds duplicated code in Coco, C/C++, C#, Dart, Fortran, Gherkin, Go, Groovy, HTML, Java, JavaScript, JSP, Julia, Kotlin, Lua, Matlab, Modelica, Objective-C, Perl, PHP, PLSQL, Python, Ruby, Salesforce.com Apex and Visualforce, Scala, Swift, T-SQL, Typescript, Apache Velocity, WSDL, XML and XSL.