MeuseR

MeuseR is an open-source software framework for processing and analyzing environmental time-series data, with a focus on riverine and hydrological datasets. The project is named after the Meuse river to reflect its intended domain and user base. MeuseR provides tools to ingest data from sensors and databases, curate quality-controlled measurements, run statistical analyses, build hydrological models, and generate visualizations for decision makers.

The architecture is modular and language-friendly, offering data adapters, a central data model for time series and geospatial features, and reusable processing pipelines. It integrates with Python and R, supports common data formats such as NetCDF, CSV, GeoJSON, and connects to GIS software and databases. Workflows are designed to be reproducible, with versioned datasets and notebook-ready analyses.

Development is community-driven, released under a permissive open-source license, and coordinated via online repositories, issue trackers, and continuous integration. Documentation includes installation guides, API references, tutorials, and case studies.

Applications include hydrological research, flood risk assessment, water-quality monitoring, and river management. The project is used by universities, research institutes, and government agencies, and it encourages collaboration across disciplines and regions.

Origin and history: conceived in the early 2020s by researchers seeking an interoperable toolkit for environmental data, with ongoing contributions expanding its capabilities and ecosystem.