KeyFrog monitors the keyboard and visualizes its usage statistics. The user can obtain much information about keyboard activity: the intensity of keyboard usage, how was it distributed in time, which applications were used, etc. This may be very useful, for example, to developers to monitor their productivity. The environment being monitored is the X Window System (text applications are explicitly supported if run inside an X terminal).
The Shared Scientific Toolbox is a library that facilitates development of efficient, modular, and robust scientific/distributed computing applications in Java. It features multidimensional arrays with extensive linear algebra and FFT support, an asynchronous, scalable networking layer, and advanced class loading, message passing, and statistics packages.
allmon is a generic system for collecting and storing various runtime metrics collections used for system performance, health, quality, and availability monitoring purposes. The system also provides a set of data-mining algorithms useful for further performance analysis. Allmon is designed to harvest different metrics values coming from many areas of monitoring infrastructure. The collected data are based on quantitative and qualitative performance and availability analysis. Allmon collaborates with other analytical tools for OLAP multidimensional analysis and data mining processing. The tool can be used for production as well as for development (profiling) and QA (load testing) purposes.
GHCN Processor is a command-line tool that reads temperature data from the Global Historical Climatic Network (GHCN) database and produces an annual or monthly temperature series in CSV format for an arbitrary set of stations. Stations are filtered based on a simple EL expression passed to the tool. For example, you can select only stations that are in the Northern Hemisphere, in hilly and rural locations. You can also select stations that started reporting in a given year, and so on. The tool supports more than one method of grid partitioning, station combination, and can use both the adjusted data and raw unadjusted data.
DEDiscover is a workflow-based differential equation modeling software tool for scientists, statisticians, and modelers. Whether you need to do quick simulation, develop sophisticated models, or teach mathematical concepts, DEDiscover combines a powerful computation engine with a user-friendly interface to give you a tool that's better, faster, and easier-to-use.
Statmetrics is a software application providing an interactive environment for computational finance. It combines innovative quantitative finance technologies with traditional technical and econometric analysis methods. Statmetrics can be used in diverse fields to perform econometric analysis, technical analysis, risk management, portfolio management, and asset allocation.
SCaVis is an environment for scientific computation, data analysis, and data visualization designed for scientists, engineers, and students. The program can be used for function and data plotting in 2D and 3D, histograms, statistical analysis, and symbolic calculations using the Matlab/Octave high-level interpreted language.