relax is a program designed for the study of the dynamics of proteins and other macromolecules though the analysis of experimental NMR data. It supports exponential curve fitting for the calculation of the R1 and R2 relaxation rates, calculation of the NOE, reduced spectral density mapping, the Lipari and Szabo model-free analysis, study of domain motions via the N-state model (or ensemble analysis) and frame order dynamics theories using anisotropic NMR parameters such as RDCs and PCSs, the investigation of stereochemistry in dynamic ensembles, and the analysis of relaxation dispersion.
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, and, in time series analysis, AR, ARMA, and VAR. It also includes statistical tests mainly for regression diagnostics. statsmodels was renamed from scikits.statsmodels.
iNA is a computational tool for quantitative analysis of fluctuations in biochemical reaction networks. Such fluctuations, also known as intrinsic noise, arise due to the stochastic nature of chemical reactions and cannot be ignored for when some molecules are present only in very low copy numbers as is the case in living cells. The SBML-based software computes statistical measures such as means and standard deviations of concentrations within a given accuracy using the analytical system size expansion. The result of iNA’s analysis can be tested against the computationally much more expensive stochastic simulation algorithm.
QtIPy is a simple GUI-based automator for IPython notebooks. It allows you to attach triggers to files, folders, or timers to automatically run notebooks. IPython notebooks are great for interactively working through analysis problems, so why would you want to automatically run them? To get a record of how you ran your analysis! By running a notebook through QtIPy you get the output, figures, and a step by step log of how the analysis was performed all in the same folder.
Rocket Propulsion Analysis (RPA) is a tool for the performance prediction of rocket engines. By providing a few engine parameters such as combustion chamber pressure, used propellant components, and nozzle parameters, the program obtains chemical equilibrium composition of combustion products, determines its thermodynamic properties, and predicts the theoretical rocket performance. A robust, proven, and industry-accepted Gibbs free energy minimization approach is used to obtain the combustion composition. It can perform analysis of nozzle flows with shifting and frozen chemical equilibrium, optimization of propellant components mixture ratio for maximum specific impulse of bipropellant systems, altitude performance analysis, analysis of nozzle performance with respect to overexpansion and flow separation, throttled engine performance analysis, estimation of test (actual) nozzle performance, and nested analysis: stepping of up to four independent variables (component ratio, chamber pressure, nozzle inlet conditions, and nozzle exit conditions).