Integration of Geophysical Time Series Analysis Methods into an Open-Source Software Package

The article presents an open-source software complex for analyzing time series of geophysical quantities. The complex integrates various analytical methods: statistical (ARIMA, SARIMA), spectral (Fourier transform, wavelet analysis), neural network (LSTM), and morphological approaches, as well as tools for anomaly detection. The key features include modular architecture, synthetic data generation capabilities, flexible algorithm parameterization, and interactive visualization of results. The software complex is already applied in researches of our scientific group, particularly for analyzing meteorological data from carbon monitoring sites. The open-source nature ensures the possibility of adapting functionality for specific tasks and further development of the complex by the scientific community.