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The study of the preparation phase of earthquake occurrence is essential to better understand our planet and assess the seismic hazard (Marchetti et al., 2024). However, different approaches are generally provided without the possibility of a direct comparison. Consequently, even the nature of the extracted anomalies before an earthquake is the object of scientific discussion.In this work, we present SEISMO-VRE, a freely available tool available on GitHub (https://github.com/dedalomarchetti/SEISMO-VRE), developed as Jupyter Notebooks with Python or MATLAB kernels, to serve a broader user community following the open science paradigm. The tool performs several analyses of the lithosphere, atmosphere and ionosphere, extracting anomalies and trends for each geo-layer. It produces graphs and tables of the extracted anomalies and, in particular, a summary graph for the comparison of the trends in the lithosphere, atmosphere and ionosphere. suggesting potential interactions between Earth’s geo-layers.Data are retrieved from the European Plate Observing System (EPOS) Platform and integrated with NASA and ESA atmospheric and ionospheric data using a dedicated notebook that we provided in the same public GitHub repository.Given the ease of reproducibility of SEISMO-VRE across different case studies, we will present results in response to earthquakes and volcanic eruptions. Case studies will include the Italian Seismic sequence 2016 (M6.0 and M6.5 as larger events), the Turkey Marmara region 23 April 2025 M6.2 earthquake, the Etna volcano eruption on 3 December 2015 (Volcanic Explosive Index, VEI = 3) and other cases.Whenever it’s possible, we will also compare the results of the SEISMO-VRE with published papers to discuss the similarities and differences. Overall, we will provide a scientific discussion on the possible reasons for differences in the identified trends for different earthquakes. In fact, epicentre location (sea or land), focal mechanism, and magnitude appear to play a major role in the preparation phase of earthquakes.Finally, we propose this tool not only to provide a universal and shared framework for the multiparametric investigation of earthquakes, volcanic eruptions and other natural and anthropogenic hazards, but also to highlight the advantages of using the EPOS pan-European research Infrastructure platform. References:Marchetti, D., Bailo, D., Falcone, G., Michalek, J., Paciello, R., & Piscini, A. (2025a). GitHub. https://github.com/dedalomarchetti/SEISMO-VREMarchetti, D.; Bailo, D.; Michalek, J.; Paciello, R.; Falcone, G.; Piscini, A (2025b). A Multiparametric Investigation of an Earthquake by a Jupyter Notebook: The Case Study of the Amatrice-Norcia Italian Seismic Sequence 2016-2017. In Proceedings of the Computational Science and Its Applications – ICCSA 2025 Workshops; https://doi.org/10.1007/978-3-031-97657-5_19Marchetti, D.; Yuan, Y.; Zhu, K (2024. Editorial of Special Issue “Remote Sensing Observations to Improve Knowledge of Lithosphere–Atmosphere–Ionosphere Coupling during the Preparatory Phase of Earthquakes”. Remote Sens. 2024, 16, 1064. https://doi.org/10.3390/rs16061064