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plugin-debezium-postgres from group io.kestra.plugin (version 0.17.1)

Capture PostgreSQL database changes using Debezium integration. Note that this plugin is intended for advanced use cases and requires a proper Debezium setup as explained e.g. in [the following blueprint](https://kestra.io/blueprints/194-use-debezium-to-trigger-a-flow-whenever-new-entries-hit-a-postgres-database-then-send-notification-to-slack-and-process-data-in-python). For simple use cases, consider using the [JDBC-based PostgreSQL plugin](https://kestra.io/plugins/plugin-jdbc-postgres) instead.

Group: io.kestra.plugin Artifact: plugin-debezium-postgres
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Artifact plugin-debezium-postgres
Group io.kestra.plugin
Version 0.17.1
Last update 27. June 2024
Organization not specified
URL https://github.com/kestra-io/plugin-debezium
License Apache License 2.0
Dependencies amount 5
Dependencies debezium-connector-postgres, bcprov-jdk18on, bcpkix-jdk18on, bouncy-gpg, plugin-debezium,
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essencium-backend-sequence-model from group de.frachtwerk (version 2.6.0)

Essencium-backend-sequence-model is a software library built on top of Essencium Backend that allows developers to quickly get started on new software projects. Essencium provides, for example, a fully implemented role-rights concept as well as various field-tested solutions for access management and authentication. Essencium Backend Sequence Model uses Numbers following Hibernates SequenceId-Strategy as primary keys in relational databases and delivers a fully implemented App-User.

Group: de.frachtwerk Artifact: essencium-backend-sequence-model
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Artifact essencium-backend-sequence-model
Group de.frachtwerk
Version 2.6.0
Last update 17. June 2024
Organization not specified
URL https://www.frachtwerk.de
License GNU Lesser General Public License v3, or (at your option) any later version
Dependencies amount 1
Dependencies essencium-backend,
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essencium-backend-identity-model from group de.frachtwerk (version 2.6.0)

Essencium-backend-identity-model is a software library built on top of Essencium Backend that allows developers to quickly get started on new software projects. Essencium provides, for example, a fully implemented role-rights concept as well as various field-tested solutions for access management and authentication. Essencium Backend Identity Model uses Numbers following Hibernates IdentityId-Strategy as primary keys in relational databases and delivers a fully implemented App-User.

Group: de.frachtwerk Artifact: essencium-backend-identity-model
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Artifact essencium-backend-identity-model
Group de.frachtwerk
Version 2.6.0
Last update 17. June 2024
Organization not specified
URL https://www.frachtwerk.de
License GNU Lesser General Public License v3, or (at your option) any later version
Dependencies amount 1
Dependencies essencium-backend,
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IAMsystem from group fr.erias (version 2.2.0)

A fast dictionary-based approach for semantic annotation / entity linking. IAMsystem is efficient at annotating documents with large dictionaries and approximate string matching algorithms. Description of the system can be found in the following paper : "Cossin S, Jouhet V, Mougin F, Diallo G and Thiessard F. IAM at CLEF eHealth 2018: Concept Annotation and Coding in French Death Certificates. CEUR-WS. September 2018"

Group: fr.erias Artifact: IAMsystem
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Artifact IAMsystem
Group fr.erias
Version 2.2.0
Last update 31. March 2023
Organization Computer research applied to health ERIAS - Bordeaux Population Health - Research Center U1219
URL https://github.com/scossin/IAMsystem
License MIT License
Dependencies amount 2
Dependencies liblevenshtein, org.apache.commons.codec,
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limbus-engine-impl from group com.remondis.limbus (version 3.1.0)

This is the Max5 Limbus Engine implementation that currently provides the following features: - Hot-Deploy features: - Deploy from filesystem - Deploy via Limbus API - Deploy via filesystem observer - Deploy from Maven Repositorx - Undeploy via Limbus API - Plugin lifecycle support - Classloader hierarchy - Isolation of deployed classpaths - Shared classloader for centralized libraries - Maintenance console with linux terminal suppot - Safety shutdown sequence - Classloading leak prevention - Thread stopping and cleaning

Group: com.remondis.limbus Artifact: limbus-engine-impl
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Artifact limbus-engine-impl
Group com.remondis.limbus
Version 3.1.0
Last update 26. March 2023
Organization not specified
URL Not specified
License not specified
Dependencies amount 10
Dependencies limbus-engine-api, limbus-engine-interfaces, limbus-properties, limbus-vfs, limbus-system, limbus-event-multicaster, limbus-task-scheduler, limbus-utils, limbus-launcher, lanterna,
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jcore-mutationfinder-ae from group de.julielab (version 2.6.1)

An analysis engine to recognize mentions of gene point mutations in document text. This is a wrapper around the original MutationFinder (http://mutationfinder.sourceforge.net/), published in the following paper: MutationFinder: A high-performance system for extracting point mutation mentions from text J. Gregory Caporaso, William A. Baumgartner Jr., David A. Randolph, K. Bretonnel Cohen, and Lawrence Hunter; Bioinformatics, 2007 23(14):1862-1865; doi:10.1093/bioinformatics/btm235;

Group: de.julielab Artifact: jcore-mutationfinder-ae
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Artifact jcore-mutationfinder-ae
Group de.julielab
Version 2.6.1
Last update 18. December 2022
Organization not specified
URL Not specified
License BSD-2-Clause
Dependencies amount 6
Dependencies oro, junit-jupiter-engine, jcore-types, jcore-descriptor-creator, slf4j-api, assertj-core,
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wekaPython from group nz.ac.waikato.cms.weka (version 1.0.18)

Integration with CPython for Weka. Python version 2.7.x or higher is required. Also requires the following packages to be installed in python: numpy, pandas, matplotlib and scikit-learn. This package provides a wrapper classifier and clusterer that, between them, cover 60+ scikit-learn algorithms. It also provides a general scripting step for the Knowlege Flow along with scripting plugin environments for the Explorer and Knowledge Flow.

Group: nz.ac.waikato.cms.weka Artifact: wekaPython
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Artifact wekaPython
Group nz.ac.waikato.cms.weka
Version 1.0.18
Last update 25. November 2022
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/wekaPython
License GNU General Public License 3
Dependencies amount 6
Dependencies weka-dev, jsyntaxpane, jackson-databind, jackson-module-parameter-names, commons-codec, commons-io,
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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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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
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cycle-mutation-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: Vincent A. Cicirello. 2022. Cycle Mutation: Evolving Permutations via Cycle Induction. Applied Sciences, 12, 11, Article 5506 (June 2022). https://doi.org/10.3390/app12115506. Also available at: https://www.cicirello.org/publications/applsci-12-05506.pdf

Group: org.cicirello Artifact: cycle-mutation-experiments
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Artifact cycle-mutation-experiments
Group org.cicirello
Version 1.0.0
Last update 30. May 2022
Organization Cicirello.Org
URL https://github.com/cicirello/cycle-mutation-experiments
License GPL-3.0-or-later
Dependencies amount 0
Dependencies No dependencies
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self-tuning-lam-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: Vincent A. Cicirello. 2021. Self-Tuning Lam Annealing: Learning Hyperparameters While Problem Solving. Applied Sciences, 11, 21, Article 9828 (November 2021). https://doi.org/10.3390/app11219828. Also available at: https://www.cicirello.org/publications/applsci-11-09828.pdf

Group: org.cicirello Artifact: self-tuning-lam-experiments
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Artifact self-tuning-lam-experiments
Group org.cicirello
Version 1.0.0
Last update 21. October 2021
Organization Cicirello.Org
URL https://github.com/cicirello/self-tuning-lam-experiments
License GPL-3.0-or-later
Dependencies amount 1
Dependencies chips-n-salsa,
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