This is the official announcement of the second version of JPE.
JPE (The Java-Python Extension) is a production-grade seamless integration of Python and Java together. JPE lets you call Java objects and classes from Python, and vice-versa, within the same process space. JPE is reentrant (cross-language callbacks), and supports multi-threading concurently in Java and Python.
The reference web site for JPE is http://jpe.sourceforge.net
As compared to its first release:
1) The build system of JPE has been completely reengineered, and is based on a new build library (libplus). In this new version:
- Java and python are auto-detected from the command line, and everything else is derived from there (Java libraries, library paths...).
- libplus generated its own makefiles, and runtime environment (env variables) for the build and test phases; so there is no need to set-up anything
- everything is now plateform-independant, and the same scripts are used on Win32 and posix (no more GNU make / cygwin make required on windows)
- JPE has been ported to posix environments. However, a shared python library is required on these platforms. You can build your onw, or use the branched version of Python 2.1, named 'pythonx', which is provided for these purposes.
- JPE is distributed in source form from CVS. Substantial efforts have been invested to provide a config and build environment that makes it straightforward to configure, build from source, and test multi-component, multi-platform software systems. Hopefully, that can be one step ahead from the current autoconf or distutil systems. Easily extensible to support arbitrary software components and tools, libplus currently supports C, C++, Python, Java, and swig wrappers. Libplus generates configuration-specific makefiles that chain software component dependencies together, and provides runtime software/tool configuration information. Litteratly, this is an 'open-source' project :))
2) New capabilities of JPE, for the 2d release:
- Java bean support: Jbean properties are accessed as regular python attributes
- Cross-language native array access: JPE integrates the bufarray python extension type; a layer on top of the python buffer interface that provides type-safe access to contiguous fixed-length C arrays (actually, 99% of the situations in scientific C or Fortran libraries). This integration permits to safely access arrays by shared memory reference between Java, Python, and C; while hidding the native memory format.
Arakné, and The Molecular Graphics Laboratory at The Scripps Research Institute.
Frédéric Giacometti email@example.com