JHepWork(Redirected from SCaViS)
This article needs additional citations for verification. (May 2013) (Learn how and when to remove this template message)
jHepWork (2005-2013) 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. Since 2013, it was renamed to SCaViS project.
|Developer(s)||Primary developer Dr. S.Chekanov|
3.7 / 2013-01-14
|Written in||Java, Jython|
|License||Mixed: The core engine is GPL, but the installer, documentation and other components are only free for non-commercial purposes.|
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 high-level programming languages, such as Jython (Python implemented in Java), JRuby (Ruby 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 tools 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.There are several other jHepWork reviews available,. While the program falls into the category of open source software, it is not completely free for commercial usage (see below).
jHepWork has several features useful for data analysis:
- uses Jython, JRuby or BeanShell scripting, or the standard Java. The GNU Octave mode is also available for symbolic calculations;
- can be integrated with the Web in forms of applets or Java Web-start applications, thus it is suited for distributed analysis environment via the Internet;
- jHepWork is designed from the ground up to support programming with multiple threads;
- has a full-featured IDE with syntax highlighting, syntax checker, code completion and analyser. It includes a version of IDE for small-screen devices;
- includes a help system with a code completion based on the Java reflection technology;
- uses a platform-neutral I/O based on Google's Protocol Buffers. Data can be written in C++ and analyzed using Java/Jython.
- databases (object databases and SQL-based databases)
- has a browser for serialized objects and objects created using Google Protocol Buffers;
- includes packages for statistical calculations;
- symbolic calculations similar to those found in the GNU Octave project or MATLAB, but rewritten in Java (jMathLab project).
The package supports several mathematical, data-analysis and data mining features:
- 2D and 3D interactive visualization of data, functions, histograms, charts.
- analytic calculations using Matlab or Octave syntax
- histograms in 2D and 3D, as well as profile histograms
- random numbers and statistical samples
- functions, including parametric equations in 3D
- contour plots, scatter plots
- neural networks
- linear regression and curve fitting using several minimization techniques
- Cluster analysis (K-means clustering analysis (single and multi pass), Fuzzy (C-means) algorithm, agglomerative hierarchical clustering)
- input/output for all data objects (arrays, functions, histograms) are based on Java serialization. There is also a support for I/O from/to C++ and other languages using the Google's Protocol buffer format. Several databases are supported (Java-object databases and SQL-based)
- Cellular automaton
- output to high-quality Vector graphics. Support for PostScript, EPS, PDF and raster formats
Symbolic and numeric calculationsEdit
Symbolic calculations use GNU Octave scipting language. The following methods are available:
Input and outputEdit
jHepWork includes the native Java and Python methods for file input and outputs. In addition, it allows to write data in the following formats:
- The HFile format based on Java serialization. Optionally, compression and XML serialization are supported. Data can be written sequentially or using the key-value maps.
- The PFile format based on the Protocol buffers engine for multiplatform input output
- The HBook format, which is a simplified XML format to write large data structures without XML tags
- Arbitrary data structure can be written into object databases with file system as back-end. This allows writing large data collections to files which normally do not fit into the computer memory.
- Several SQL database engines are included as external packages
- AIDA (computing) file format (read only)
- ROOT file format (read only)
Data stored in external files can be viewed using browsers for convenient visualization.
jHepWork has its roots in particle physics where data mining is a primary task. jHepWork was initially written for data analysis for particle physics 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" 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".
jHepWork runs on Windows, Linux, Mac and the Android platforms. The package for the Android is called AWork.
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)
- Scientific Data analysis using Jython Scripting and Java. Book. 497 pp, by S.V.Chekanov (Springer-Verlag, 2010, ISBN 978-1-84996-286-5)
Examples of Jython scriptsEdit
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") # create an interactive 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.eps") # export to EPS Vector Graphics
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:
- TeachSource. 5 of the Best Free and Open Source Data Mining Software
- SoftSea Ediror review
- DreamCSS.COM. 8 useful open source information graphics software
- HEP data analysis using jHepWork and Java. arXiv:0809.0840v2, ANL-HEP-CP-08-53 preprint. CERN preprint
- S.V.Chekanov, Scientific Data analysis using Jython Scripting and Java. Book. 497p. (Springer-Verlag, 2010, ISBN 978-1-84996-286-5)