Isoline Retrieval uses supervised statistical classification to retrieve isolines from cross-track scanning or similar satellites. It contains software to generate training data using collocation or radiative transfer simulations, as well as routines to interpolate the final fields using a variation of multi-linear interpolation or kernel estimation. The currently-supported satellites are the Advance Microwave Sounding Unit (AMSU) series and, to a lesser extent, the Global Ozone Measurement Experiment (GOME). An ambitious researcher, however, could easily adapt the codes to a similar satellite.
Wolf Software jArgon Plugin takes a list of jargon terms, their definitions, and (optionally) alternative names from a JSON-encoded file. The file can be static or can be dynamically created using PHP, ASP.NET, etc. Rather than having the user of your site click the word and be taken to another page to find out what the word means, a tooltip is displayed when the user hovers over the word.
scikits.statsmodels is a Python package which provides a complement to scipy for statistical computations, including descriptive statistics and estimation of statistical models. The main included model categories are linear, discrete, generalized linear, and robust linear models, and, in time series analysis, AR, ARMA, and VAR. It also includes statistical tests mainly for regression diagnostics.
The Lean Mean C++ Option Parser handles program arguments (argc, argv). It supports the short and long option formats of getopt(), getopt_long(), and getopt_long_only(), but has a more convenient interface. It is a freestanding, header-only library with no dependencies, not even libc or STL. It comes with a usage message formatter which supports column alignment and line wrapping, making it ideal for localized messages with different lengths.