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ScalaLab Jan15

The ScalaLab project aims to provide an efficient scientific programming environment for the Java Virtual Machine. The scripting language is based on the Scala programming language enhanced with high level scientific operators and with an integrated environment that provides a MATLAB-like working style. Also, all the huge libraries of Java scientific code can be easily accessible (and many times with a more convenient syntax). The main potential of the ScalaLab is numerical code speed and flexibility. The statically typed Scala language can provide speeds of scripting code similar to pure Java. A major design priority of ScalaLab is its user-friendly interface. We like the user to enjoy writing scientific code, and with this objective we design the whole framework.
The MATLAB-like mathematical DSL of ScalaLab is termed ScalaSci , and is developed as an internal DSL, by exploiting the superb extensibility of the Scala language.
ScalaLab Advantages

The Main Advantages Of Scalasci That Equip It With Great Potential Are:

  • The flexibility and scalability of the wonderful and powerful Scala language, that offer many opportunities to implement convenient high-level scientific operators.

  • The speed of Scala based scripting, that approaches the speed of native and optimized Java code, and thus is close to, or even better from C/C++ based scientific code!

  • The vast Java based scientific libraries with excellent code for many application domains. These libraries are directly available from ScalaSci with the dynamic loading of the corresponding Java toolboxes.

  • The user friendly Matlab-like environment of ScalaLab and the high quality scientific plotting support.

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    Predicted future versions and notices:

    The constantly monitors the update of all programs, including information from the ScalaLab Jan15 changelog file, however sometimes it can happen that data are not complete or are outdated.We assume that author continue's to develop Jan15 version with further advanced features, and soon you will be informed. Equally important Jan16 upgrades of the program we will continue to monitor. Full ScalaLab description has been compared with the overall software database and our algorithm has found the following applications (are showed below).