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logstash-logback-sensitive-data-obfuscator from group io.github.orczykowski (version 1.0.0)

This library provides a solution for masking sensitive data in logs within applications that use Logback with logstash-logback-encoder and ch.qos.logback.contrib.json.classic.JsonLayout. It allows you to extend the XML configuration by defining names od fields/variables/properties which contain in value sensitive data. The library includes predefined patterns for detecting sensitive values and also allows for creating custom patterns.

Group: io.github.orczykowski Artifact: logstash-logback-sensitive-data-obfuscator
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Artifact logstash-logback-sensitive-data-obfuscator
Group io.github.orczykowski
Version 1.0.0
Last update 23. July 2023
Organization not specified
URL http://maven.apache.org
License MIT License
Dependencies amount 0
Dependencies No dependencies
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jstyleparser from group org.daisy.libs (version 1.20-p21)

jStyleParser is a CSS parser written in Java. It has its own application interface that is designed to allow an efficient CSS processing in Java and mapping the values to the Java data types. It parses CSS 2.1 style sheets into structures that can be efficiently assigned to DOM elements. It is intended be the primary CSS parser for the CSSBox library. While handling errors, it is user agent conforming according to the CSS specification.

Group: org.daisy.libs Artifact: jstyleparser
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3 downloads
Artifact jstyleparser
Group org.daisy.libs
Version 1.20-p21
Last update 19. July 2023
Organization not specified
URL http://cssbox.sourceforge.net/jstyleparser
License GNU Lesser General Public License 3.0
Dependencies amount 4
Dependencies org.apache.servicemix.bundles.antlr-runtime, slf4j-api, unbescape, commons-io,
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prime from group org.technologybrewery.prime (version 1.3.0)

In brewing, you prime nearly finished beer with a little extra sugar (or similar fermentable product) just before bottling to help the beer carbonate. In Java, Prime adds a little structure or manipulates data in your database just before starting up your application. Prime leverages Flyway to deliver "sugar" to your database - we just do a little bit to package it up to run when your war is loaded.

Group: org.technologybrewery.prime Artifact: prime
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Artifact prime
Group org.technologybrewery.prime
Version 1.3.0
Last update 21. April 2023
Organization not specified
URL https://github.com/TechnologyBrewery/prime
License MIT License
Dependencies amount 3
Dependencies krausening, commons-lang3, flyway-core,
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disk-project from group edu.isi.kcap.diskproject (version 3.0.2)

The DISK system automates the execution of scientific workflows triggered on data changes. To do this DISK collects data from different data repositories and defines methods on different workflows systems. User defined goals are periodically check for new data/methods available. When a method detects new data, a new workflow execution will be send. Each experiment execution is stored with its metadata and outputs for posterior analysis.

Group: edu.isi.kcap.diskproject Artifact: disk-project
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Artifact disk-project
Group edu.isi.kcap.diskproject
Version 3.0.2
Last update 20. April 2023
Organization USC/Information Sciences Institute
URL https://github.com/KnowledgeCaptureAndDiscovery/DISK-API
License Apache-2.0
Dependencies amount 0
Dependencies No dependencies
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moa-kafka from group nz.ac.waikato.cms.moa (version 2023.04.0)

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. This artifact enables you to stream data to MOA from Kafka.

Group: nz.ac.waikato.cms.moa Artifact: moa-kafka
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Artifact moa-kafka
Group nz.ac.waikato.cms.moa
Version 2023.04.0
Last update 03. April 2023
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3
Dependencies amount 2
Dependencies moa, kafka-clients,
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weka-package from group nz.ac.waikato.cms.moa (version 2023.04.0)

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems. This artifact enables you to use MOA from within WEKA.

Group: nz.ac.waikato.cms.moa Artifact: weka-package
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0 downloads
Artifact weka-package
Group nz.ac.waikato.cms.moa
Version 2023.04.0
Last update 03. April 2023
Organization University of Waikato, Hamilton, NZ
URL http://moa.cms.waikato.ac.nz/
License GNU General Public License 3
Dependencies amount 1
Dependencies moa,
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YahooFinanceAPI from group de.sfuhrm (version 3.16.4)

This library provides some methods that should make it easy to communicate with the Yahoo Finance API. It allows you to request detailed information, some statistics and historical quotes on stocks. Separate functionality is available to request a simple FX quote. Please check the javadoc to get a complete overview of the available methods and to get an idea of which data is available from Yahoo Finance.

Group: de.sfuhrm Artifact: YahooFinanceAPI
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Artifact YahooFinanceAPI
Group de.sfuhrm
Version 3.16.4
Last update 12. March 2023
Organization not specified
URL http://financequotes-api.com
License MIT License
Dependencies amount 2
Dependencies slf4j-api, jackson-databind,
There are maybe transitive dependencies!

data-science from group org.odpi.egeria (version 3.15)

The Data Science Open Metadata Access Service (OMAS) provides APIs and events for tools and applications focused on building all types of analytics models such as predictive models and machine learning models. It provides the ability to define the purpose and requirements for a model, along with lineage and audit information relating to the development and validation process associated with the model.

Group: org.odpi.egeria Artifact: data-science
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0 downloads
Artifact data-science
Group org.odpi.egeria
Version 3.15
Last update 31. January 2023
Organization not specified
URL Not specified
License not specified
Dependencies amount 0
Dependencies No dependencies
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jcore-elasticsearch-consumer from group de.julielab (version 2.6.2)

This component converts CAS annotations into a JSON format that originates from Solr's preanalyzed field type. At the JulieLab, there is an ElasticSearch plugin making this format accessible also by ElasticSearch. Configuration happens right in Java code. Note that the component is also able to generate perfectly valid ElasticSearch default JSON which does not require the plugin. Then, however, the preanalyzed data format cannot be used because this is the format that required the ElasticSearch plugin.

Group: de.julielab Artifact: jcore-elasticsearch-consumer
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Artifact jcore-elasticsearch-consumer
Group de.julielab
Version 2.6.2
Last update 29. December 2022
Organization JULIE Lab Jena, Germany
URL https://github.com/JULIELab/jcore-base/tree/master/jcore-elasticsearch-consumer
License BSD-2-Clause
Dependencies amount 14
Dependencies jcore-descriptor-creator, slf4j-api, httpclient, lucene-analyzers-common, assertj-core, guava, gson, jcore-utilities, julielab-java-utilities, icu4j, commons-lang3, mapdb, testng, junit-jupiter,
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mone-article-experiments from group org.cicirello (version 1.0.0)

This package contains Java programs for reproducing the experiments, and analysis of experimental data, from the following article: Cicirello, V.A. On Fitness Landscape Analysis of Permutation Problems: From Distance Metrics to Mutation Operator Selection. Mobile Networks and Applications (2022). https://doi.org/10.1007/s11036-022-02060-z.

Group: org.cicirello Artifact: mone-article-experiments
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0 downloads
Artifact mone-article-experiments
Group org.cicirello
Version 1.0.0
Last update 09. November 2022
Organization Cicirello.Org
URL https://github.com/cicirello/MONE2022-experiments
License GPL-3.0-or-later
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!



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