A set of scientific libraries that are open source and form the base for various scientific applications.
If you're looking for a free library of lightweight components for scientific/distributed computing in Java, you should definitely check out SST (Shared Scientific Toolbox). This toolbox includes packages for multidimensional arrays, high-performance networking, parallel dataflow, and annotation-driven, declarative programming.
SST is designed to be a bridge between the specific demands of scientific calculations and traditional Java language programming. As a result, the toolbox strives to provide idioms and primitives that are powerful and general enough for users to write concise, correct, and fast code for most scientific tasks.
SST is particularly well-suited for deployment code where integration and portability are priorities. In other words, you can prototype your work in Matlab, and then deploy it in SST. So if you're looking for a great tool for scientific programming in Java, SST is definitely worth checking out.
SST is designed to be a bridge between the specific demands of scientific calculations and traditional Java language programming. As a result, the toolbox strives to provide idioms and primitives that are powerful and general enough for users to write concise, correct, and fast code for most scientific tasks.
SST is particularly well-suited for deployment code where integration and portability are priorities. In other words, you can prototype your work in Matlab, and then deploy it in SST. So if you're looking for a great tool for scientific programming in Java, SST is definitely worth checking out.
What's New
Version 1.09: N/A