jHepWork 2.4

jHepWork is a full-featured multiplatform data-analysis framework for scientists, engineers and students. jHepWork incorporates many open-source math software packages into a coherent interface using the concept of Java scripting, rather than only-GUI or macro-based concept.

jHepWork has a goal of creating a tool competitive to commercial scientific packages which can be run on any platform. jHepWork is a 100% pure Java package with numerical and graphical libraries for data-analysis applications. It uses Jython in order to bring more power and simplicity to scientific computing, although other scripting languages (like BeanShell etc.) can also be used.

Data analysis tools:

* Based on Jython, an implementation of the high-level language Python written in Java.
* Includes numerical Java libraries integrated with a graphical user interface for data manipulation. See jHepWork examples. The main programming language in all these examples is Python (actually, Jython). Data manipulation is assumed to be done using Jython scripting, but also BeanShell and plain Java can be used.
* Data structures and data manipulation methods, integrated with Java and JAIDA classes, combines remarkable power with very clear syntax. jHepWork includes high-level data types for manipulations, calculations of systematical errors and visualization (plots, tables, spreadsheet, file input/output) which have no analogy in other data analysis frameworks. Programs written using the jHepWork framework are usually very short due to high-level constructions of the jHPlot package.
* Enhanced console for BeanShell and Jython with syntax highlighting and built-in macro language for custom commands. Macros based on the jEdit textArea can be reused.
* Many mathematical and physics libraries are linked automatically. Fully compatible with FreeHEP libraries for data manipulation, histograms and fits.
* Comprehensive. More than 10 thousand classes and methods are packed in 27 MB (this excludes those from the native Java API). Most libraries were designed for data analysis and mathematical operations. For example, JEHEP IDE editor contains about 500 classes and methods, while the core package JHPLOT (the main graphical canvas and data structures) has about 1200 classes and methods. The rest are third-party libraries. The native code assist or external IDE (NetBeans or Eclipse) can help to navigate between classes and methods.
* Native Java I/O based on serialization. Platform-neutral file formats based on XML and compressed Google's Protocol Buffers records.
* Professional graphics. Output to the vector format (PostScript, EPS) and other formats (PDF, PNG, JPG, etc.)
* Seamlessly integrated with Java-based Linear Collider Detector (LCD) software concept.

A powerful Python/Jython friendly IDE with a code assist
which also supports many programming languages: C/C++, JAVA, PHP, FORTRAN and many more. It is also specially designed for editing LaTeX files. It has several unique features, such as:

* The only Java-based editor with on-fly spell checking
* The only editor with color syntax highlighting for all classes and methods of ROOT
* Color syntax highlighting for many programming languages
* Multiple clipboards
* Multiple Eclipse-like bookmarks
* File browser
* Multi-document support
* Linux/Unix - like commands cp, mv, rm, cat etc. are supported.
* Extensive LaTeX support: a structure viewer, build-in Bibtex manager (JabRef) and LatexTools
* A document structure viewer for fast navigation
* Extensive configurability