Wu is small command-line application that retrieves weather data from Weather Underground (including current conditions, historical data, forecasts, active alerts, and station lookup). The program is designed to be extremely fast and generally compliant with the Unix philosophy. Wu is written in Go, and requires a Go compiler to build from source.
Protracer is a simple raytracer originally written in 1999 as a university course project. Please be aware that, despite the name, there is nothing especially professional about Protracer. The name is meant to be a pun on the Protracker music tracker application. It currently supports a very limited subset of the POV-Ray file format.
The qpfcalc application is a Qt frontend for pfcalc, a CLI pipe friction calculator. It is similar to gpfcalc, the GTK+ frontend for pfcalc. There are two versions of qpfcalc, one for Windows and one for Linux. The Linux version should be easy to compile and run on any Unix-like operating system with few minor modifications. For the application to function properly the pfcalc backend must be installed. For the Windows version, this is not needed as qpfcalc is distributed along with all the files needed to run, including pfcalc and Qt libraries.
GêBR is a simple graphical interface that facilitates geophysical data processing. While it is not a package for processing, it is designed to integrate a large variety of free processing packages. It can handle Projects and Lines, assemble and run processing sequences, and act as an interface to many freely-available seismic-processing packages (such as Seismic Unix, Madagascar, etc.)
Peg Solitaire is a board game played with pegs: in the classic mode, the board has 33 positions and 32 tokens because the center position is without form. The objective of Peg Solitaire is to remove the pegs but only with horizontal and vertical movements. It is also known as English peg solitaire or Senku. In the reverse modes, initially there is only one piece on the board.
Strategico is an engine for running statistical analysis over groups of time series. It can manage one or more groups (projects) of time series: by default, you can get data from a database or CSV files, normalize them, and then save them inside the engine. The first statistical analysis implemented inside Strategico is the "Long Term Prediction": it automatically finds the best model that fits each time series. Some of the models implemented are mean, trend, linear, exponential smoothing, and Arima. Strategico is scalable: the statistical analysis over each time series (of a project) can be run separately and independently. It is suggested that you set up an HPC Cluster (High Performance Computing) and/or use a resource scheduler like slurm. It is developed with R, one of the most famous statistical languages.