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neodymium-library from group com.xceptance (version 5.0.2)
A test automation library based on common other best practice
open source libraries. It adds missing functionalities but does not
reinvent the wheel. Just glues stuff together nicely and adds some
sprinkles.
0 downloads
Artifact neodymium-library
Group com.xceptance
Version 5.0.2
Last update 29. July 2024
Organization Xceptance Software Technologies GmbH
URL https://github.com/Xceptance/neodymium-library
License MIT License
Dependencies amount 25
Dependencies littleproxy, browserup-proxy-mitm, junit, junit-jupiter-engine, owner, snakeyaml, cucumber-junit, cucumber-java, cucumber-picocontainer, jaxb-api, allure-junit4, allure-junit5, allure-cucumber6-jvm, allure-selenide, json-path, selenide, selenide-junit4, selenide-proxy, commons-csv, commons-text, commons-lang3, slf4j-api, commons-io, gson, okhttp,
There are maybe transitive dependencies!
Group com.xceptance
Version 5.0.2
Last update 29. July 2024
Organization Xceptance Software Technologies GmbH
URL https://github.com/Xceptance/neodymium-library
License MIT License
Dependencies amount 25
Dependencies littleproxy, browserup-proxy-mitm, junit, junit-jupiter-engine, owner, snakeyaml, cucumber-junit, cucumber-java, cucumber-picocontainer, jaxb-api, allure-junit4, allure-junit5, allure-cucumber6-jvm, allure-selenide, json-path, selenide, selenide-junit4, selenide-proxy, commons-csv, commons-text, commons-lang3, slf4j-api, commons-io, gson, okhttp,
There are maybe transitive dependencies!
reactor-pubsub from group com.vlkan (version 0.2.2)
Finally a Google Cloud Pub/Sub driver that you can wrap your mind around its internals and leverage this to
implement efficient, backpressure-aware, asynchronous, debugging-friendly Pubsub requests that play nicely with
your existing Reactor code base.
0 downloads
Artifact reactor-pubsub
Group com.vlkan
Version 0.2.2
Last update 17. February 2021
Organization not specified
URL https://github.com/vy/reactor-pubsub
License Apache License, Version 2.0
Dependencies amount 6
Dependencies slf4j-api, reactor-core, reactor-netty, jsr305, jackson-databind, google-auth-library-oauth2-http,
There are maybe transitive dependencies!
Group com.vlkan
Version 0.2.2
Last update 17. February 2021
Organization not specified
URL https://github.com/vy/reactor-pubsub
License Apache License, Version 2.0
Dependencies amount 6
Dependencies slf4j-api, reactor-core, reactor-netty, jsr305, jackson-databind, google-auth-library-oauth2-http,
There are maybe transitive dependencies!
sakai-wicket-maven-archetype from group org.sakaiproject.maven-archetype (version 1.5.0)
The Sakai Wicket Maven Archetype allows you to generate a sample Sakai app via a single Maven command.
The app is based on Apache Wicket which integrates nicely with Sakai.
The app demonstrates how to get a Sakai tool styled, internationalised and registered, setup your own APIs, wire them up with Spring and inject them via annotations.
The 1.1 and up releases also include multi database support via Spring JDBC. It could easily be used as a base for a real tool.
Group: org.sakaiproject.maven-archetype Artifact: sakai-wicket-maven-archetype
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Artifact sakai-wicket-maven-archetype
Group org.sakaiproject.maven-archetype
Version 1.5.0
Last update 28. October 2014
Organization The Sakai Foundation
URL https://confluence.sakaiproject.org/display/BOOT/Sakai+Wicket+Maven+Archetype
License Educational Community License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group org.sakaiproject.maven-archetype
Version 1.5.0
Last update 28. October 2014
Organization The Sakai Foundation
URL https://confluence.sakaiproject.org/display/BOOT/Sakai+Wicket+Maven+Archetype
License Educational Community License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
ecj from group edu.gmu.cs (version 22)
ECJ, A Java-based Evolutionary Computation Research System.
ECJ is a research EC system written in Java. It was designed to be highly flexible, with nearly all classes (and all of their settings) dynamically determined at runtime by a user-provided parameter file. All structures in the system are arranged to be easily modifiable. Even so, the system was designed with an eye toward efficiency.
ECJ is developed at George Mason University's ECLab Evolutionary Computation Laboratory. The software has nothing to do with its initials' namesake, Evolutionary Computation Journal. ECJ's sister project is MASON, a multi-agent simulation system which dovetails with ECJ nicely.
Artifact ecj
Group edu.gmu.cs
Version 22
Last update 08. September 2014
Organization Evolutionary Computation Laboratory at George Mason University
URL http://cs.gmu.edu/~eclab/projects/ecj/
License The Academic Free License, version 3.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group edu.gmu.cs
Version 22
Last update 08. September 2014
Organization Evolutionary Computation Laboratory at George Mason University
URL http://cs.gmu.edu/~eclab/projects/ecj/
License The Academic Free License, version 3.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
scala-quickstart-archetype from group pl.org.miki (version 0.8.2)
Customizable cruft-free Scala archetype. Options:
-sourceFolders: [all-in-src-java, scala-only, both-split-src]. DEFAULT: all-in-src-java.
--all-in-src-java: Scala and Java code are both in src/main/java (same for test). Plays nicely with IDEs.
--scala-only: only src/main/scala set up, and set as source folder.
--both-split-src: both src/main/java and src/main/scala. Can play merry havock with IDEs, so not the default.
-testLibrary: [scalatest, specs2, scalacheck-only, junit-only]. DEFAULT: scalatest.
--scalatest: adds Scalatest AND Scalacheck AND JUnit for most of your testing needs.
--specs2: adds specs2 AND Scalacheck AND JUnit.
--scalacheck-junit: adds Scalacheck AND JUnit.
--junit-only: adds JUnit ONLY.
-scalaVersion: 2.10.x+. DEFAULT: 2.11.2.
*The Scala tool version is generated automatically.
*Some Scala versions may not be compatible with selected test library versions. Adjust as necessary.
Artifact scala-quickstart-archetype
Group pl.org.miki
Version 0.8.2
Last update 26. July 2014
Organization not specified
URL https://github.com/mikkoz/java8-quickstart-archetype
License BSD 3-clause "New" or "Revised" License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group pl.org.miki
Version 0.8.2
Last update 26. July 2014
Organization not specified
URL https://github.com/mikkoz/java8-quickstart-archetype
License BSD 3-clause "New" or "Revised" License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
rng from group de.cit-ec.ml (version 1.0.0)
This is an implementation of the Neural Gas algorithm on
distance data (Relational Neural Gas) for unsupervised clustering.
We recommend that you use the functions provided by the RelationalNeuralGas
class for your purposes. All other classes and functions are utilities which
are used by this central class. In particular, you can use RelationalNeuralGas.train()
to obtain a RNGModel (i.e. a clustering of your data), and subsequently
you can use RelationalNeuralGas.getAssignments() to obtain the resulting
cluster assignments, and RelationalNeuralGas.classify() to cluster new points
which are not part of the training data set.
The underlying scientific work is summarized nicely in the dissertation
"Topographic Mapping of Dissimilarity Datasets" by Alexander Hasenfuss
(2009).
The basic properties of an Relational Neural Gas algorithm are the following:
1.) It is relational: The data is represented only in terms of a pairwise
distance matrix.
2.) It is a clustering method: The algorithm provides a clustering model,
that is: After calculation,
each data point should be assigned to a cluster (for this package here we
only consider hard clustering, that is: each data point is assigned to
exactly one cluster).
3.) It is a vector quantization method: Each cluster corresponds to a
prototype, which is in the center of the
cluster and data points are assigned to the cluster if and only if they are
closest to this particular prototype.
4.) It is rank-based: The updates of the prototypes depend only on
the distance ranking, not on the absolute value of the distances.
Artifact rng
Group de.cit-ec.ml
Version 1.0.0
Last update 26. January 2018
Organization not specified
URL https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas
License The GNU General Public License, Version 3
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group de.cit-ec.ml
Version 1.0.0
Last update 26. January 2018
Organization not specified
URL https://gitlab.ub.uni-bielefeld.de/bpaassen/relational_neural_gas
License The GNU General Public License, Version 3
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
jsgen from group com.github.jochenw (version 1.2)
Jsgen is a Java Source Generation Framework: That means, it should be a valuable tool, if you intend to write a custom generator for Java
sources.
As such, it is the successor of a previous framework, called JaxMeJS (http://jaxme.sourceforge.net/JaxMeJS/docs/index.html).
The predecessor came into being as a standalone project. It was incorporated into the bigger JaxMe project, when the latter
was adopted by the Apache Webservices project. And it was buried as part of the bigger project, when the latter was moved to the
Apache Attic (http://svn.apache.org/repos/asf/webservices/archive/jaxme/).
That was fine for quite some time, because the latest released version (JaxMeJS 0.5.2) did its job quite well.
Over the years, however, the Java language has evolved, and the lack of support for features like Generics, or
Annotations, became a burden. Hence the Successor: Jsgen picks up, where JaxMeJS ended. It is, however, a complete
rewrite with several additional features, that the author considers to be important for modern Java applications:
1. It supports Generics.
2. It supports Annotations.
3. The builder pattern has been adopted. Almost all important classes are implemented as builders.
This should make writing the actual source generators much more concise, and maintainable, than
it used to be before.
4. The code style is configurable. Code styles allow you to concentrate on the actual work.
The resulting Jave source will look nicely formatted, anyways. As of this writing, you
can select between two builtin code styles:
- The default code style is basically the authors personal free style, roughly comparable to the default
code style of the Eclipse Java IDE.
- As an alternative, there is also a Maven code style, which is widely used in the Open Source communities.
Compared to the default style, it is less concise, if not even a bit verbose. On the other hand, it is
widely adopted by projects in the vicinity of {{{https://maven.apache.org}Apache Maven}}.
5. Import lists are created, and sorted, automatically.
Artifact jsgen
Group com.github.jochenw
Version 1.2
Last update 10. November 2019
Organization not specified
URL https://jochenw.github.io/jsgen
License Apache License, Version 2.0
Dependencies amount 1
Dependencies jsr305,
There are maybe transitive dependencies!
Group com.github.jochenw
Version 1.2
Last update 10. November 2019
Organization not specified
URL https://jochenw.github.io/jsgen
License Apache License, Version 2.0
Dependencies amount 1
Dependencies jsr305,
There are maybe transitive dependencies!
minitest from group rubygems (version 5.4.1)
minitest provides a complete suite of testing facilities supporting
TDD, BDD, mocking, and benchmarking.
"I had a class with Jim Weirich on testing last week and we were
allowed to choose our testing frameworks. Kirk Haines and I were
paired up and we cracked open the code for a few test
frameworks...
I MUST say that minitest is *very* readable / understandable
compared to the 'other two' options we looked at. Nicely done and
thank you for helping us keep our mental sanity."
-- Wayne E. Seguin
minitest/unit is a small and incredibly fast unit testing framework.
It provides a rich set of assertions to make your tests clean and
readable.
minitest/spec is a functionally complete spec engine. It hooks onto
minitest/unit and seamlessly bridges test assertions over to spec
expectations.
minitest/benchmark is an awesome way to assert the performance of your
algorithms in a repeatable manner. Now you can assert that your newb
co-worker doesn't replace your linear algorithm with an exponential
one!
minitest/mock by Steven Baker, is a beautifully tiny mock (and stub)
object framework.
minitest/pride shows pride in testing and adds coloring to your test
output. I guess it is an example of how to write IO pipes too. :P
minitest/unit is meant to have a clean implementation for language
implementors that need a minimal set of methods to bootstrap a working
test suite. For example, there is no magic involved for test-case
discovery.
"Again, I can't praise enough the idea of a testing/specing
framework that I can actually read in full in one sitting!"
-- Piotr Szotkowski
Comparing to rspec:
rspec is a testing DSL. minitest is ruby.
-- Adam Hawkins, "Bow Before MiniTest"
minitest doesn't reinvent anything that ruby already provides, like:
classes, modules, inheritance, methods. This means you only have to
learn ruby to use minitest and all of your regular OO practices like
extract-method refactorings still apply.
Group: rubygems Artifact: minitest
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Artifact minitest
Group rubygems
Version 5.4.1
Last update 28. March 2015
Organization not specified
URL https://github.com/seattlerb/minitest
License MIT
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group rubygems
Version 5.4.1
Last update 28. March 2015
Organization not specified
URL https://github.com/seattlerb/minitest
License MIT
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
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