Fluidsly

Fluidsly is a software platform and conceptual framework for analyzing and interoperating fluid dynamics data. It provides a unified workflow for importing data from computational fluid dynamics simulations, laboratory experiments, and field sensors, and for performing cross‑source comparisons. The term is used to describe both the project and the methodological approach of treating diverse fluid datasets in a coherent, fluidly integrated manner.

Origin and scope: The project emerged from interdisciplinary fluid research groups aiming to standardize data semantics and units. Fluidsly was released as an open‑source platform in 2023 by the Fluids Institute and has since grown with community contributions.

Key features include data adapters for common CFD codes such as OpenFOAM, SU2, and ANSYS Fluent, support for experimental data from PIV and other measurement techniques, a Python API, declarative metrics definitions, automated unit handling, turbulence statistics, and browser‑based visualization dashboards. Workflows can be saved as reproducible YAML pipelines to support traceability and collaboration.

Applications span academic research in aerospace, automotive, and environmental engineering, as well as education and rapid prototyping of analysis pipelines for fluid experiments and simulations. The platform is designed to complement traditional CFD solvers by enabling data-centric analysis, cross-source comparisons, and reproducible workflows.

Reception and status: Fluidsly remains a niche, community‑driven project. While not a substitute for dedicated CFD solvers, it aims to streamline data management and analysis across diverse fluid datasets and to foster open collaboration in fluid dynamics research.

Related topics include computational fluid dynamics, experimental fluid dynamics, data visualization, and open‑source scientific software.