OpenPIV is an initiative of scientists to develop a software, algorithms and methods for the state-of-the-art experimental tool of Particle Image Velocimetry (PIV) which are free, open source, and easy to operate. OpenPIV is the successor of the well known URAPIV software - it is faster, more friendly and much more flexible. OpenPIV is provided using Matlab, Python or 32bit Windows executable (based on C++ and Qt source).

Liberzon, Alex; Gurka, Roi; Ben-Gida, Hadar (2020): OpenPIV - Matlab. figshare. Software. https://doi.org/10.6084/m9.figshare.12330536

Please note that there are two versions of the GUI:

1. older Matlab version, before 2014b: https://github.com/OpenPIV/openpiv-matlab/releases/tag/v1.1
2. Newer Matlab versions, use https://github.com/OpenPIV/openpiv-matlab/archive/master.zip or clone this repository

1. Open Github account
2. Visit our Git repositories through https://github.com/OpenPIV
3. Fork your favorite repository
4. Fix, commit, push to your repository and send us a pull request.
5. register on openpiv-develop mailing list through https://groups.google.com/forum/#!forum/openpiv-users

1. Matlab - see the screencast http:https://youtu.be/yg-LjAt-v3Q

2. Read the Tutorial by Sergio Bengoechea Lozano, TU Berlin

3. Python - http:https://www.openpiv.net/openpiv-python/

4. C++ - not ready yet

5. Spatial and Temporal Analysis Toolbox http:https://www.openpiv.net/openpiv-spatial-analysis-toolbox/

6. Pressure from PIV http:https://www.openpiv.net/openpiv-pressure

How to get support? Where to ask questions? Use one of the following:

1. Google group https://groups.google.com/forum/#!forum/openpiv-users
2. e-mail to [email protected]
3. Comment using Github page

1. About OpenPIV
2. About PIV parameters