6 projects tagged "Scientific"
Updated 24 Mar 2013
relax
| Pop | 239.03 |
|---|---|
| Vit | 39.16 |
relax is a program designed for the study of the dynamics of proteins or other macromolecules though the analysis of NMR relaxation experiments. 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 and frame order dynamics theories using anisotropic NMR parameters such as RDCs and PCSs, and the investigation of stereochemistry.
Updated 22 Apr 2013
Mahotas
| Pop | 183.72 |
|---|---|
| Vit | 33.13 |
Mahotas is an image processing library for Python. It includes a couple of algorithms implemented in C++ for speed while operating in numpy arrays. The main algorithms are watershed and Otsu thresholding.
Updated 24 Jan 2013
Voynex Calculator
| Pop | 36.25 |
|---|---|
| Vit | 28.80 |
Voynex calculator is a Web browser application designed to evaluate mathematical and JavaScript expressions. The main difference between it and other calculators is that it is possible to enter the whole expression at once instead of entering it step by step. For example, it can evaluate expressions like, "sin(sqrt(PI/3)+sqrt(PI/5))+cos(PI/2+1)", "x=pow(4,5)+3; 3*x+log(x)", or "0xff07+0x1c04*(0x45+0x55>>1)". The power of the JavaScript language itself is used to evaluate expressions of arbitrary complexity. It offers a wide set of mathematical functions to calculate trigonometrical, logarithmic, and other expressions.
Updated 19 Oct 2011
Libnabo
| Pop | 33.91 |
|---|---|
| Vit | 1.00 |
libnabo is a fast K Nearest Neighbor library for low-dimensional spaces. It provides a clean, legacy-free, scalar-type–agnostic API thanks to C++ templates.
Updated 07 May 2012
scikits.statsmodels
| Pop | 42.50 |
|---|---|
| Vit | 1.13 |
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.
Updated 08 May 2012
statsmodels
| Pop | 21.82 |
|---|---|
| Vit | 19.44 |
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.
