| Developer(s) | Primary developer Dr. S.Chekanov |
|---|---|
| Stable release | 3.1 / September 2011 |
| Written in | Java, Jython |
| Operating system | Cross-platform |
| Type | Data analysis |
| Website | jwork.org/jhepwork |
jHepWork (or jWork) is an interactive framework for scientific computation, data analysis and data visualization designed for scientists, engineers and students. jHepWork is multiplatform since it is written in Java, thus it runs on any operating system where the Java virtual machine can be installed.
The program is designed for interactive scientific plots in 2D and 3D and contains numerical scientific libraries implemented in Java for mathematical functions, random numbers, statistical analysis, curve fitting and other data mining algorithms. jHepWork uses a high-level programming language Jython (Python implemented in Java), but Java coding can also be used to call jHepWork numerical and graphical libraries.
jHepWork is an attempt to create a data-analysis environment using open-source packages with a coherent user interface and to create a tool competitive to commercial programs. The idea behind the project is to incorporate open-source mathematical and numerical software packages with GUI-type of user interfaces into a coherent program in which the main user interface is based on short-named Java/Python classes. This was required to build an analysis environment using Java scripting concept. A typical example will be shown below.
HepWork runs on any platforms (Windows, Mac, Linux, etc.) where Java can be installed. Scripts and Java code (in case of the Java programming) can be run either in a GUI editor of jHepWork or as batch programs. The graphical libraries of jHepWork can be used to create applets. All charts (or "Canvases") used for data representation can be embedded into Web browsers.
jHepWork can be used everywhere where an analysis of large numerical data volumes, data mining, statistical data analysis and mathematics are essential. The program can be used in natural sciences, engineering, modeling and analysis of financial markets. jHepWork is considered among five best free and open source data-mining software.[1] There are several other jHepWork reviews available,.[2][3] While the program falls into the category of open source software, it is not completely free for commercial usage (see below).
Contents |
jHepWork has several features useful for data analysis:
The package supports several mathematical, data-analysis and data mining features:
jHepWork has its roots in particle physics where data mining is a primary tasks. jHepWork was initially written for data analysis for particle physics[4] using the Java software concept for International Linear Collider project developed at SLAC. Later versions of jHepWork were modified for general public use (for scientists, engineers, students for educational purpose) since the International Linear Collider project has stalled. Currently, jHepWork is a community-supported program. The main source of reference is the book "Scientific Data analysis using Jython Scripting and Java"[5] which discusses in depth data analysis methods using Java and Jython scripting.
The string "HEP" in the project name "jHepWork" abbreviates "High-Energy Physics". But due to a wide popularity outside this area of physics, there is a trend to call the project shortly as jWork, thus skipping the abbreviation "HEP".
The core source code of the numerical and graphical libraries is licensed by the GNU General Public License. The interactive development environment (IDE) used by jHepWork has some restrictions for commercial usage since language files, documentation files, examples, installer, code-assist databases, interactive help are licensed by the creative-common license. Full members of the jHepWork project have several benefits, such as: the license for a commercial usage, access to the source repository, an extended help system, a user script repository and an access to the complete documentation.
(Non-primary mirrors are not shown)
Here is a simple example which illustrates how to fill a 2D histogram and display it on a canvas. The script also creates a figure in the PDF format. This script illustrates how to glue and mix the native JAVA classes (from the package java.util) and jHepWork classes (the package jhplot) inside a script written using the Python syntax.
from java.util import Random
from jhplot import *
c1 = HPlot3D("Canvas")
c1.setGTitle("Global title")
c1.setNameX("X")
c1.setNameY("Y")
c1.visible()
c1.setAutoRange()
h1 = H2D("2D histogram",25,-3.0, 3.0,25,-3.0, 3.0)
rand = Random();
for i in range(200):
h1.fill(rand.nextGaussian(),rand.nextGaussian())
c1.draw(h1);
c1.export("jhplot3d.png")
This script can be run either using jHepWork IDE or using a stand-alone Jython after specifying classpath to jHepWork libraries. Here is the output of this script:
