Download JAR files tagged by provides with all dependencies
jung-parent from group net.sf.jung (version 2.1.1)
JUNG the Java Universal Network/Graph Framework--is a software
library that provides a common and extendible language for the
modeling, analysis, and visualization of data that can be
represented as a graph or network. It is written in Java, which
allows JUNG-based applications to make use of the extensive
built-in capabilities of the Java API, as well as those of other
existing third-party Java libraries. The JUNG architecture is
designed to support a variety of representations of entities and
their relations, such as directed and undirected graphs,
multi-modal graphs, graphs with parallel edges, and hypergraphs.
It provides a mechanism for annotating graphs, entities, and
relations with metadata. This facilitates the creation of
analytic tools for complex data sets that can examine the
relations between entities as well as the metadata attached to
each entity and relation. The current distribution of JUNG
includes implementations of a number of algorithms from graph
theory, data mining, and social network analysis, such as
routines for clustering, decomposition, optimization, random
graph generation, statistical analysis, and calculation of
network distances, flows, and importance measures (centrality,
PageRank, HITS, etc.). JUNG also provides a visualization
framework that makes it easy to construct tools for the
interactive exploration of network data. Users can use one of
the layout algorithms provided, or use the framework to create
their own custom layouts. In addition, filtering mechanisms are
provided which allow users to focus their attention, or their
algorithms, on specific portions of the graph.
Group: net.sf.jung Artifact: jung-parent
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Artifact jung-parent
Group net.sf.jung
Version 2.1.1
Last update 07. September 2016
Organization not specified
URL http://jrtom.github.io/jung/
License The BSD License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group net.sf.jung
Version 2.1.1
Last update 07. September 2016
Organization not specified
URL http://jrtom.github.io/jung/
License The BSD License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
straightedge from group com.massisframework (version 0.8)
Includes 2 main parts:
- Path finding through 2D polygons using the A star algorithm and navigation-mesh generation
Field of vision / shadows / line of sight / lighting.
The basic polygon and point classes are the KPolygon and KPoint.
KPolygon contains a list of KPoints for vertices as well as a center (centroid), area, and radius (circular bound or distance from center to furthest point).
KPolygon was born out of the need for a more game-oriented and flexible polygon class than the Path2D class in the standard Java library. KPolygon implements java.awt.geom.Shape so it can be easily drawn and filled by Java2D's Graphics2D object.
- This API provides path-finding and field-of-vision. For other complex geometric operations such as buffering (fattening and shrinking) and constructive area geometry (intersections and unions) it is recommended to use the excellent Java Topology Suite (JTS). The standard Java2D library also provides the Area class which can be used for some constructive area geometry operations. Note that there is a utility class PolygonConverter that can quickly convert KPolygons to JTS polygons and vice versa.
Artifact straightedge
Group com.massisframework
Version 0.8
Last update 21. December 2015
Organization not specified
URL https://github.com/rpax/straightedge
License New BSD License
Dependencies amount 1
Dependencies jts,
There are maybe transitive dependencies!
Group com.massisframework
Version 0.8
Last update 21. December 2015
Organization not specified
URL https://github.com/rpax/straightedge
License New BSD License
Dependencies amount 1
Dependencies jts,
There are maybe transitive dependencies!
msdk-mona from group io.github.msdk (version 0.0.1)
MassBank of America (MoNA), is an auto curating repository for storing, comparing and querying mass spectra of chemical compounds. It is metadata centric and it was designed to allow easy integration into other tools by utilize its REST based application programming interface.
At the current time it contains over 200k predicted and 40k unique experimental mass spectra and their associated metadata. The predicted spectra were obtained by utilizing the lipid blast library and the experimental spectra were acquired from 30 different facilities all over the world, including several major research facilities in the United States and Japan.
MoNA is utilizing the InChI Key as unique identifier for chemicals and is designed for easy scalability and expendability. This is realized by utilizing common applications like nginx, grails, AngularJS, postgresSQL and tomcat.
MoNA is currently integrated in applications like MSDial, BinBase, MZMine and the statistics package R. This was accomplished by utilizing its REST based API, which is also utilized by its main AngularJS based web interface. We consider MoNA to be highly useful for crosslinking mass spectra in publications, identification of unknowns and integration in data acquisition software.
This package provides you with access to the REST api of the main MoNA installation.
Artifact msdk-mona
Group io.github.msdk
Version 0.0.1
Last update 24. November 2015
Organization not specified
URL Not specified
License not specified
Dependencies amount 5
Dependencies msdk-datamodel, minimal-json, commons-lang, jersey-media-json-jackson, jersey-client,
There are maybe transitive dependencies!
Group io.github.msdk
Version 0.0.1
Last update 24. November 2015
Organization not specified
URL Not specified
License not specified
Dependencies amount 5
Dependencies msdk-datamodel, minimal-json, commons-lang, jersey-media-json-jackson, jersey-client,
There are maybe transitive dependencies!
jadex-rules from group net.sourceforge.jadex (version 2.4)
Jadex Rules is a small lightweight rule engine, which currently
employs the well-known Rete algorithm for highly efficient rule
matching. Jadex rules is therefore similar to other rule engines
like JESS and Drools. Despite the similarities there are also
important differences between these systems:
* Jadex Rules is very small and
intended to be used as component
of other software. Even though rules can be specified in a Java
dialect as well as (a small variation of) the CLIPS language
its primary usage is on the API level. Jadex Rules is currently
the core component of the Jadex BDI reasoning engine.
* Jadex Rules cleanly separates between state and rule representation.
This allows the state implementation as well as the matcher to be
flexibly exchanged. Some experiments have e.g. been conducted with
a Jena representation. Regarding the matcher, it is planned to
support also the Treat algorithm, which has a lower memory footprint
than Rete.
* Jadex Rules pays close attention to rule debugging. The state as
well as the rete engine can be observed at runtime. The rule debugger
provides functionalities to execute a rule program stepwise and also
use rule breakpoints to stop the execution at those points.
0 downloads
Artifact jadex-rules
Group net.sourceforge.jadex
Version 2.4
Last update 20. December 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 3
Dependencies jadex-commons, jadex-xml, antlr-runtime,
There are maybe transitive dependencies!
Group net.sourceforge.jadex
Version 2.4
Last update 20. December 2013
Organization not specified
URL Not specified
License not specified
Dependencies amount 3
Dependencies jadex-commons, jadex-xml, antlr-runtime,
There are maybe transitive dependencies!
EasyConfig from group net.sf.ssg.tools (version 0.1)
EasyConfig provides simple way to overview and apply settings to file or folder based collections of files.
Synonyms to "setting" are property, attribute, value while throughout application "setting" is used.
The settings are groupped in "configuration" that is collection of settings from various sources.
Main design concepts are:
* minimalistic way to describe configuration
* pluggable support for data types (validation), setting sources, source handlers
Sample use case:
An application is deployed in multiple locations.
We need to quickly check key settings/parameters and optionally modify some of them.
These values are located in different places:
- in files directly in file structure
- in files inside archive files (optionally nested archives)
- values in DB tables
- values accessible via URLs
- other sources (just guessed: SSH/telnet connection+some command(s), UPnP devices, proprietary protocols, etc)
We gather info from any supported (extendable) source and can modify and apply changes if supported by source
(e.g. we can't update value that is count of rows in DB table, but we can read that value).
Artifact EasyConfig
Group net.sf.ssg.tools
Version 0.1
Last update 01. February 2013
Organization not specified
URL http://sourceforge.net/p/easyconfig
License The Apache Software License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group net.sf.ssg.tools
Version 0.1
Last update 01. February 2013
Organization not specified
URL http://sourceforge.net/p/easyconfig
License The Apache Software License, Version 2.0
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
jung2 from group net.sf.jung (version 2.0.1)
JUNG the Java Universal Network/Graph Framework--is a software
library that provides a common and extendible language for the
modeling, analysis, and visualization of data that can be
represented as a graph or network. It is written in Java, which
allows JUNG-based applications to make use of the extensive
built-in capabilities of the Java API, as well as those of other
existing third-party Java libraries. The JUNG architecture is
designed to support a variety of representations of entities and
their relations, such as directed and undirected graphs,
multi-modal graphs, graphs with parallel edges, and hypergraphs.
It provides a mechanism for annotating graphs, entities, and
relations with metadata. This facilitates the creation of
analytic tools for complex data sets that can examine the
relations between entities as well as the metadata attached to
each entity and relation. The current distribution of JUNG
includes implementations of a number of algorithms from graph
theory, data mining, and social network analysis, such as
routines for clustering, decomposition, optimization, random
graph generation, statistical analysis, and calculation of
network distances, flows, and importance measures (centrality,
PageRank, HITS, etc.). JUNG also provides a visualization
framework that makes it easy to construct tools for the
interactive exploration of network data. Users can use one of
the layout algorithms provided, or use the framework to create
their own custom layouts. In addition, filtering mechanisms are
provided which allow users to focus their attention, or their
algorithms, on specific portions of the graph.
Group: net.sf.jung Artifact: jung2
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Artifact jung2
Group net.sf.jung
Version 2.0.1
Last update 24. January 2010
Organization not specified
URL http://jung.sourceforge.net/site
License The BSD License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
Group net.sf.jung
Version 2.0.1
Last update 24. January 2010
Organization not specified
URL http://jung.sourceforge.net/site
License The BSD License
Dependencies amount 0
Dependencies No dependencies
There are maybe transitive dependencies!
SourceAnalyst from group io.github.leravolcevska (version 1.3.0)
The Source Analyst library is a powerful tool designed to streamline and expedite the tracking of traffic sources for mobile applications. This versatile library is aptly named "Source Analyst" and is an invaluable asset for app developers and marketers seeking to gain deeper insights into the performance of their advertising campaigns. With just one simple function call, Source Analyst empowers you to efficiently investigate the effectiveness of various advertising sources.
Key Features:
Effortless Tracking: Source Analyst simplifies the complex task of tracking the origins of traffic for your mobile app. No need for convoluted setups or extensive coding – one function is all it takes.
Comprehensive Insights: Gain a comprehensive understanding of where your app's users are coming from. Whether it's through social media, search engines, referral links, or other channels, Source Analyst provides you with clear data on traffic sources.
Performance Evaluation: Evaluate the performance of your advertising campaigns with precision. Discover which sources are driving the most valuable users to your app, helping you optimize your marketing efforts effectively.
Time-Saving: Say goodbye to hours spent on manual data collection and analysis. Source Analyst automates the tracking process, freeing up your time to focus on making data-driven decisions.
Customization: Tailor Source Analyst to your specific needs. Customize the library to track the metrics that matter most to your app's success.
Real-time Data: Access real-time data, ensuring that you always have up-to-date insights into your traffic sources.
Integration-Friendly: Seamlessly integrate Source Analyst into your existing mobile app infrastructure, whether you're developing for Android or iOS.
User-Friendly: Source Analyst is designed with user-friendliness in mind. Its intuitive interface and straightforward documentation make it accessible to developers of all levels of expertise.
How It Works:
Using Source Analyst is as easy as calling a single function within your code. Simply integrate the library into your app, and you can begin tracking traffic sources immediately. From there, Source Analyst compiles and presents the data in a clear and organized manner, allowing you to make data-driven decisions with ease.
In a world where understanding the origins of your app's traffic is essential for marketing success, Source Analyst is the go-to solution. Say goodbye to the complexity of tracking sources and embrace the simplicity and effectiveness of Source Analyst for your mobile app.
Harness the power of Source Analyst and unlock a new level of insight into your app's performance today!
Group: io.github.leravolcevska Artifact: SourceAnalyst
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Artifact SourceAnalyst
Group io.github.leravolcevska
Version 1.3.0
Last update 07. September 2023
Organization not specified
URL https://github.com/leravolcevska/SourceAnalyst
License MIT License
Dependencies amount 1
Dependencies kotlin-stdlib-jdk8,
There are maybe transitive dependencies!
Group io.github.leravolcevska
Version 1.3.0
Last update 07. September 2023
Organization not specified
URL https://github.com/leravolcevska/SourceAnalyst
License MIT License
Dependencies amount 1
Dependencies kotlin-stdlib-jdk8,
There are maybe transitive dependencies!
InfoScope from group io.github.petrostick (version 1.1.0)
InfoScope Library: Simplifying Privacy Policy Display with WebView
The InfoScope Library is a versatile tool designed to enhance the seamless presentation of privacy policies through WebView integration. Privacy policies play a crucial role in maintaining transparency and trust between users and applications, and the InfoScope Library streamlines this process by offering a range of convenient features.
At its core, the library provides the SimpleAutoWebView, a WebView component equipped with fundamental settings for optimal privacy policy display. This WebView component is tailored to effortlessly load and present privacy policy content to users, ensuring a smooth and user-friendly experience.
To further enhance the functionality and customization options, the InfoScope Library includes two essential components: SimpleAutoWebViewClient and SimpleAutoWebChromeClient. These components enable developers to quickly establish and configure the basic WebView behavior and appearance.
The SimpleAutoWebViewClient is designed to facilitate the interaction between the WebView and the application. It streamlines the process of handling various events, such as page loading, error handling, and navigation. With this component, developers can swiftly create a WebViewClient that aligns with their application's requirements, promoting a consistent and intuitive user journey.
Complementing the WebView functionality, the SimpleAutoWebChromeClient focuses on managing the visual aspects of WebView content, including alert dialogs, JavaScript dialogs, and UI interactions. This component empowers developers to define the behavior and appearance of these elements, ensuring a polished and integrated presentation of the privacy policy content.
In summary, the InfoScope Library offers a comprehensive toolkit for developers to seamlessly integrate privacy policy display using WebView. By providing the SimpleAutoWebView, SimpleAutoWebViewClient, and SimpleAutoWebChromeClient components, the library enables swift development and easy customization, fostering transparency and trust between users and applications. Embrace the power of the InfoScope Library to elevate your privacy policy presentation and enhance your user experience.
Group: io.github.petrostick Artifact: InfoScope
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Artifact InfoScope
Group io.github.petrostick
Version 1.1.0
Last update 18. August 2023
Organization not specified
URL https://github.com/PetroStick/InfoScope
License MIT License
Dependencies amount 1
Dependencies kotlin-stdlib-jdk8,
There are maybe transitive dependencies!
Group io.github.petrostick
Version 1.1.0
Last update 18. August 2023
Organization not specified
URL https://github.com/PetroStick/InfoScope
License MIT License
Dependencies amount 1
Dependencies kotlin-stdlib-jdk8,
There are maybe transitive dependencies!
chips-n-salsa from group org.cicirello (version 6.4.0)
Chips-n-Salsa is a Java library of customizable,
hybridizable, iterative, parallel, stochastic, and self-adaptive
local search algorithms. The library includes implementations of
several stochastic local search algorithms, including simulated
annealing, hill climbers, as well as constructive search algorithms
such as stochastic sampling. Chips-n-Salsa now also includes genetic
algorithms as well as evolutionary algorithms more generally. The
library very extensively supports simulated annealing. It includes
several classes for representing solutions to a variety of optimization
problems. For example, the library includes a BitVector class that
implements vectors of bits, as well as classes for representing
solutions to problems where we are searching for an optimal vector
of integers or reals. For each of the built-in representations, the
library provides the most common mutation operators for generating
random neighbors of candidate solutions, as well as common crossover
operators for use with evolutionary algorithms. Additionally, the
library provides extensive support for permutation optimization
problems, including implementations of many different mutation
operators for permutations, and utilizing the efficiently implemented
Permutation class of the JavaPermutationTools (JPT) library.
Chips-n-Salsa is customizable, making extensive use of Java's generic
types, enabling using the library to optimize other types of representations
beyond what is provided in the library. It is hybridizable, providing
support for integrating multiple forms of local search (e.g., using a hill
climber on a solution generated by simulated annealing), creating hybrid
mutation operators (e.g., local search using multiple mutation operators),
as well as support for running more than one type of search for the same
problem concurrently using multiple threads as a form of algorithm portfolio.
Chips-n-Salsa is iterative, with support for multistart metaheuristics,
including implementations of several restart schedules for varying the run
lengths across the restarts. It also supports parallel execution of multiple
instances of the same, or different, stochastic local search algorithms for
an instance of a problem to accelerate the search process. The library
supports self-adaptive search in a variety of ways, such as including
implementations of adaptive annealing schedules for simulated annealing,
such as the Modified Lam schedule, implementations of the simpler annealing
schedules but which self-tune the initial temperature and other parameters,
and restart schedules that adapt to run length.
0 downloads
Artifact chips-n-salsa
Group org.cicirello
Version 6.4.0
Last update 28. July 2023
Organization Cicirello.Org
URL https://chips-n-salsa.cicirello.org/
License GPL-3.0-or-later
Dependencies amount 3
Dependencies jpt, rho-mu, core,
There are maybe transitive dependencies!
Group org.cicirello
Version 6.4.0
Last update 28. July 2023
Organization Cicirello.Org
URL https://chips-n-salsa.cicirello.org/
License GPL-3.0-or-later
Dependencies amount 3
Dependencies jpt, rho-mu, core,
There are maybe transitive dependencies!
commons-crypto from group org.apache.commons (version 1.2.0)
Apache Commons Crypto is a cryptographic library optimized with AES-NI (Advanced Encryption
Standard New Instructions). It provides Java API for both cipher level and Java stream level.
Developers can use it to implement high performance AES encryption/decryption with the minimum
code and effort. Please note that Crypto doesn't implement the cryptographic algorithm such as
AES directly. It wraps to OpenSSL or JCE which implement the algorithms.
Features
--------
1. Cipher API for low level cryptographic operations.
2. Java stream API (CryptoInputStream/CryptoOutputStream) for high level stream encryption/decryption.
3. Both optimized with high performance AES encryption/decryption. (1400 MB/s - 1700 MB/s throughput in modern Xeon processors).
4. JNI-based implementation to achieve comparable performance to the native C/C++ version based on OpenSsl.
5. Portable across various operating systems (currently only Linux/MacOSX/Windows);
Apache Commons Crypto loads the library according to your machine environment (it checks system properties, `os.name` and `os.arch`).
6. Simple usage. Add the commons-crypto-(version).jar file to your classpath.
Export restrictions
-------------------
This distribution includes cryptographic software.
The country in which you currently reside may have restrictions
on the import, possession, use, and/or re-export to another country,
of encryption software. BEFORE using any encryption software,
please check your country's laws, regulations and policies
concerning the import, possession, or use, and re-export of
encryption software, to see if this is permitted.
See <http://www.wassenaar.org/> for more information.
The U.S. Government Department of Commerce, Bureau of Industry and Security (BIS),
has classified this software as Export Commodity Control Number (ECCN) 5D002.C.1,
which includes information security software using or performing
cryptographic functions with asymmetric algorithms.
The form and manner of this Apache Software Foundation distribution makes
it eligible for export under the License Exception
ENC Technology Software Unrestricted (TSU) exception
(see the BIS Export Administration Regulations, Section 740.13)
for both object code and source code.
The following provides more details on the included cryptographic software:
* Commons Crypto use [Java Cryptography Extension](http://docs.oracle.com/javase/8/docs/technotes/guides/security/crypto/CryptoSpec.html) provided by Java
* Commons Crypto link to and use [OpenSSL](https://www.openssl.org/) ciphers
74 downloads
Artifact commons-crypto
Group org.apache.commons
Version 1.2.0
Last update 14. January 2023
Organization not specified
URL https://commons.apache.org/proper/commons-crypto/
License Apache License, Version 2.0
Dependencies amount 1
Dependencies jna,
There are maybe transitive dependencies!
Group org.apache.commons
Version 1.2.0
Last update 14. January 2023
Organization not specified
URL https://commons.apache.org/proper/commons-crypto/
License Apache License, Version 2.0
Dependencies amount 1
Dependencies jna,
There are maybe transitive dependencies!
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