CITATION.cff

cff-version: 1.2.0
message: If you use this software, please cite it using these metadata.
title: "Fluidimage: a Python framework to study flows from images"
abstract: |
  Fluid mechanics experimental studies are often based on image processing,
  with various algorithms such as Particle Image Velocimetry (PIV) or
  Light Induced Fluorescence (LIF) used to compute velocity, vorticity, concentration
  or temperature fields. Fluidimage is a free and open-source Python framework
  to process images of fluids and analyse the resulting fields.
authors:

  - family-names: Augier
    given-names: Pierre
    orcid: https://orcid.org/0000-0001-9481-4459

# Note: the values of "version" and "date-released" might not correspond to the last uploaded version.
# The correct values are in the file pyproject.toml and CHANGES.md.
version: 0.5.2
date-released: "2024-05-24"
identifiers:
  - description: This is the collection of archived snapshots of all versions of Fluidimage
    type: doi
    value: "10.5281/zenodo.11359207"
license: CECILL-2.1
repository-code: "https://foss.heptapod.net/fluiddyn/fluidimage"