Skip to main content

Flowtracks - postprocessing of 3D-PTV data

This package contains Flowtracks, a Python-package for post-processing of 3D Particle Tracking Velocimetry particle/trajectory databases.

Latest release: https://pypi.org/project/flowtracks/ (flowtracks 1.2.2)

The full documentation for this package may be built from the Sphinx sources in the doc/ directory. It is also available online:

http://flowtracks.readthedocs.org

Please refer to that documentation for the full information on installing, reference documentation and usage examples contained in the package.

The program is distributed under the terms of the GNU General Public License, version 3.0. For details, see the LICENSE.txt file.

How to cite this work

Meller, Y and Liberzon, A 2016 Particle Data Management Software for 3DParticle Tracking Velocimetry and Related Applications – The Flowtracks Package. Journal of Open Research Software, 4: e23, DOI: http://dx.doi.org/10.5334/jors.101

Getting Started

Obtaining the package and its dependencies

The most recent version of this package may be found under the auspices of the OpenPTV project, in its Github repository,

https://github.com/OpenPTV/postptv

Dependencies:

Installation

For users (no source checkout needed) — install the latest release from PyPI (https://pypi.org/project/flowtracks/):

pip install flowtracks

With ParaView export support (writes .vti/.vtr/.pvd via pyvista/vtk):

pip install "flowtracks[vtk]"

Requires Python ≥ 3.11; numpy/scipy and the other core dependencies are installed automatically.

For developers — clone the repository and install it editable:

git clone https://github.com/OpenPTV/postptv
cd postptv
pip install -e ".[vtk]"   # or: uv sync --group dev (installs pytest)

See pyproject.toml for the full dependency list and the optional extras (vtk, legacy-io, notebooks). The legacy HDF5/pytables reader needs the legacy-io extra; the .vti/.vtr ParaView writers need vtk.

The examples are Jupyter notebooks [2], and can be previewed without any special setup under the examples section of

http://flowtracks.readthedocs.org

[1] Python documentation: https://docs.python.org/3/install/index.html [2] http://jupyter.org/

Metadata

Release files for flowtracks 1.6.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for flowtracks 1.6.0
File Size Uploaded
flowtracks-1.6.0.tar.gz 7.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for flowtracks 1.6.0
File Interpreter ABI Platform
flowtracks-1.6.0-py3-none-any.whl Python 3 none any Details

Total release size: 7.3 MB

Release files / flowtracks-1.6.0.tar.gz

Download URL flowtracks-1.6.0.tar.gz
Size 7.0 MB
Tags Source
SHA-256 checksum
How to use checksums
94f05574bf21847820e1c013927c3b5dbe6db16d574cd21f72b4891a608b2dfb
BLAKE2b-256 checksum
How to use checksums
aff83b3581b757cd6a1f20bf4af762ab613b0a4a5aa65f6b7ce2a9fbd1fc0cfc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 29, 2026.

Transparency log

Release files / flowtracks-1.6.0-py3-none-any.whl

Download URL flowtracks-1.6.0-py3-none-any.whl
Size 344.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ac609dbdc08c4ef81267643b969cadb53b35af53da3a59a35f46702621e99498
BLAKE2b-256 checksum
How to use checksums
48513e3c9285a9a8bfc596aac47e492900d7d5c9c2b566c3123633d75e12d96c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 29, 2026.

Transparency log
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page