Work

EUTROPY: A Python-based software optimized with Just-In-Time compilation for simulating eutrophication dynamics in aquatic systems

Year: 2025

Type: software-paper

Abstract: This study presents EUTROPY, an efficient, open-source modeling tool developed in Python for simulating primary production and investigating eutrophication dynamics. Although compiled languages such as Fortran and C ++ are preferred in numerical modeling, Python was selected for its usability. Performance was enhanced using Numba for just-in-time (JIT) compilation, achieving speedups up to 40 times and outperforming a Fortran-based model. In addition, a Shiny interface supports interactive post-processing and visualization. This approach eliminates the two-language problem, enabling both simulation and analysis in one environment, making EUTROPY practical for academic use and a foundation for future applications in environmental management.

Source: SoftwareX

DOI: 10.1016/j.softx.2025.102430

Authors: Burak Kaynaroglu, Arturas Razinkovas-Baziukas, Rasa Idzelytė, Edvinas Tiškus, Mindaugas Zilius, Jovita Mėžinė, Georg Umgiesser

Institutions: Klaipėda University, Istituto di Scienze Marine del Consiglio Nazionale delle Ricerche, National Research Council

Language: English

Topic: Computational Physics and Python Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,200

Funder: Research Executive Agency

OpenAlex ID: W7104180438

Cites: 20

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