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jHepWork ("jWork") is an interactive environment for scientific computation, data analysis and data visualization designed for scientists, engineers and students. The program incorporates many open-source math software packages into a coherent interface using the concept of scripting, rather than only-GUI or macro-based concept.

jHepWork has a goal of creating a tool competitive to commercial scientific packages. The program can be used everywhere where an analysis of large numerical data volumes, data mining, statistical analysis and mathematics are essential. The program can be used in natural sciences, engineering, modeling and analysis of financial markets.
jHepWork is fully multiplatform since it is a 100% pure Java package. It runs on any platform where Java is installed. It was fully tested on Windows, Mac, Linux and any hardware, such as desktops, laptops, netbooks, production servers. It can run in either a GUI-driven mode, or a batch mode. Finally, jHepWork takes the full advantage of multicore processors.

jHepWork uses Jython, the Python language for the Java platform in order to call Java numerical and visualization libraries, which brings more power and simplicity for scientific computing. Other scripting languages (like BeanShell etc.) and, of course, the native Java itself, can also be used.

jHepWork includes:

Java libraries for 2D/3D graphics and scientific data visualization. See jHepWork examples. The main programming language in all these examples is Jython, an implementation of the high-level language Python for the Java platform. Also BeanShell and plain Java can be used.
Numerical libraries for data structures and data manipulation. The libraries include numerical and analytical calculations, linear algebra operations, equation solving algorithms. Many libraries are based on the JAIDA classes for data manipulation, construction of histograms and functions. jHepWork includes high-level data types for manipulations, calculations of systematical errors and their visualization which have no analogy in other data-analysis software. Programs written using the jHepWork framework are very short, have remarkable power with very clear syntax due to high-level constructions of the jHPlot package.
Elements of analytic computations. In this mode, Matlab or Octave programming can be used.
Comprehensive statistical packages. More than 10 thousand JAVA classes and methods are packed in 50 MB library pack (this excludes those from the native Java API). For example, the core package jHPlot (the main numerical package) has about 2000 classes and methods. The rest are third-party JAVA or Python libraries. One can perform any statistical data analysis, linear or non-linear fits, cluster analysis, generate random numbers, construct neural networks etc.
Comprehensive API for data input and output (I/O). Being Java, it includes the native Java I/O from the java.io package. Being Python, it includes the native Python I/O methods and classes. In addition, the native jHepWork I/O contains Java classes for persistent data storage in ZIP-format, Java-serialisation format and XML-formats. jHepWork contains packages for several Java-native SQL databases (including SQLite) and object-based databases. It complies with the ROOT and AIDA data formats. Finally, it uses several platform-neutral file formats, including the compressed Google's Protocol Buffers format.
Professional output graphics for data and function visualization. All plots can be exported to raster formats (PDF, PNG, JPG, etc.) and high-quality vector formats (PostScript, EPS) ready to be included into presentations and scientific papers (including the LaTeX format).
Enhanced Jython shell and BeanShell consoles with syntax highlighting, command line completion and built-in macro language for custom commands. One can easily script your data-analysis or scientific algorithm in a completely interactive way in a few seconds.