PIV Software — Academic Usage Statistics

Based on OpenAlex data • Generated 2026-11-05 • Years 2016–2025

This page compares how often 30 PIV (particle image velocimetry) software packages are mentioned in scientific papers. Every package is counted with the same exact-phrase full-text search in OpenAlex, covering the last 10 fully completed years (2016–2025). The page is updated automatically every month.

Most mentioned in 2025: PIVlab (240 papers), LaVision DaVis (120), Dantec Dynamic Studio / FlowManager (37), OpenPIV (30), Flownizer (16).
Most mentioned 2016–2025 in total: PIVlab (1691 papers), LaVision DaVis (1388), Dantec Dynamic Studio / FlowManager (454), TSI Insight (209), OpenPIV (208). For comparison: OpenAlex lists 4,176 papers from 2025 that contain the phrase "particle image velocimetry".

Summary Table ▼

Software⇅ Category⇅ Developer⇅ Total (2016-2025)⇅ Recent (2025)⇅ Peak year⇅ Peak count⇅ Top field⇅ Top country⇅
PIVlab Open Source W. Thielicke 1691 240 2023 252 Engineering United States
LaVision DaVis Commercial LaVision GmbH 1388 120 2021 179 Engineering United States
Dantec Dynamic Studio / FlowManager Commercial Dantec Dynamics 454 37 2020 55 Engineering France
TSI Insight Commercial TSI Inc. 209 13 2019 28 Engineering United Kingdom
OpenPIV Open Source OpenPIV Team 208 30 2024 35 Engineering United States
GeoPIV / GeoPIV-RG Free / Academic White, Stanier et al. 191 11 2016 28 Engineering United Kingdom
Flownizer Commercial Ditect Co. Ltd. 182 16 2019 25 Engineering United States
PIVview Commercial PIVTEC GmbH 181 8 2021 25 Engineering Germany
MatPIV Open Source J.K. Sveen 158 7 2022 25 Biochemistry, Genetics and Molecular Biology United States
ILA PIVtec Commercial ILA GmbH / PIVtec 140 6 2022 20 Engineering Germany
JPIV Open Source P. Vennemann 47 2 2016 8 Engineering United Kingdom
MicroVec Commercial MicroVec Inc. 46 4 2024 13 Engineering China
PRANA Open Source Eckstein & Vlachos 41 2 2016 6 Engineering United States
PIVmat Open Source F. Moisy 33 1 2019 8 Engineering France
DigiFlow Commercial Dalziel Research Partners 32 0 2016 8 Engineering United Kingdom
mpiv Open Source N. Mori & K.-A. Chang 28 2 2017 5 Earth and Planetary Sciences United States
FTR-PIV Commercial FlowTech Research 19 0 2016 3 Engineering Japan
DPIVSoft Open Source P. Meunier & T. Leweke 19 1 2020 5 Engineering France
UVMAT / CIVx Open Source J.-M. Foucaut et al. 19 0 2020 4 Engineering France
VidPIV Commercial Oxford Lasers 16 1 2016 4 Engineering Australia
IDT ProVision Commercial IDT 14 1 2024 3 Engineering India
FluidImage Open Source P. Augier et al. 13 2 2019 3 Engineering France
PaIRS-UniNa Free / Academic Univ. of Naples 12 6 2025 6 Engineering Italy
GPIV Open Source G.H. de Graaf 8 0 2016 3 Engineering United States
CIVx Open Source Gostiaux, Salort (ENS Lyon) 7 0 2021 3 Engineering France
PIVsuite Open Source PIVsuite project 7 0 2020 2 Earth and Planetary Sciences United Kingdom
Fluere Free / Academic Fluere project 6 1 2018 2 Engineering Germany
EDPIV Free / Academic L. Gui 4 0 2016 2 Engineering United States
YSC Flow Analyzer Commercial YSC Corp. 3 0 2017 1 Engineering United States
PIVtools Open Source Taylor, Lawson & Ganapathisubramani (Univ. of Southampton) 1 0 2022 1 Biochemistry, Genetics and Molecular Biology India

Papers per Year (linear scale) ▼

Papers per Year (log scale — shows smaller software) ▼

Total Papers 2016–2025 ▼

Publication Venue Impact (JIF proxy) ▼

Shows the paper-weighted mean 2-year journal citedness of the venues in which papers mentioning each software are published — OpenAlex’s open stand-in for the journal impact factor. Read this carefully: it measures the citation reputation of the journals a tool appears in, not the quality of the software or of the individual papers. It is also strongly field-dependent (e.g. biomedical/microfluidics journals carry higher citedness than experimental fluid-mechanics journals for structural reasons), so tools used in different subfields are not directly comparable here. Bars show n, the number of papers each score rests on — a high score based on only a handful of papers is largely chance and should be read with caution. Treat this chart as a rough indicator, not a verdict.

Market Share (% of Total PIV Literature) ▼

Open Source vs. Commercial (combined) ▼

Research Field Distribution ▼

Field Distribution per Software (% of papers) ▼

Top Countries per Software ▼

Geographic Distribution (all software) ▼