Library for efficient processing and visualization of time series
QATS is a Python library and GUI for efficient processing and visualization of time series. QATS provides tools for: * Import and export from/to various pre-defined time series file formats * Signal processing * Inferring statistical distributions * Cycle counting using the Rainflow algorithm It was originally created to handle time series files exported from SIMO and RIFLEX. Now it also handles SIMA hdf5 (.h5) files, Matlab (version < 7.3) .mat files, CSV files and more. QATS also features a GUI which offers efficient and low threshold processing and visualization of time series. It is perfect for inspecting, comparing and reporting: * time series * power spectral density distributions * peak and extreme distributions * cycle distributions
pkg install py311-qats