flowtracks

Post processing routines for analysing PTV data.

https://github.com/openptv/postptv

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    1 of 4 committers (25.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (17.8%) to scientific vocabulary

Keywords

acceleration particles python tracking turbulence velocity
Last synced: 6 months ago · JSON representation

Repository

Post processing routines for analysing PTV data.

Basic Info
  • Host: GitHub
  • Owner: OpenPTV
  • License: gpl-3.0
  • Language: Python
  • Default Branch: master
  • Size: 8.76 MB
Statistics
  • Stars: 16
  • Watchers: 6
  • Forks: 13
  • Open Issues: 5
  • Releases: 2
Topics
acceleration particles python tracking turbulence velocity
Created over 12 years ago · Last pushed 10 months ago
Metadata Files
Readme License

README.md

Flowtracks - postprocessing of 3D-PTV data

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

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:

  • The software depends on the SciPy package, obtainable from http://www.scipy.org/

  • Some features depend on the Matplotlib package. Users which need those features may get Matplotlib at http://matplotlib.org/

Installation

To install this package, follow the standard procedure for installing Python modules. The package may be installed either systemwide, in the default location, or for a single user, by changing the install location and updating environment variables in the standard way, as indicated by the Python documentation [1].

For a default systemwide installation: using a terminal, change directory into the root directory of theis program's source code, then run

pip install -r requirements.txt

Note that for the default install you may need administrative privileges on the machine you are using. Consult the Python documentation for the single-user install procedure.

The install script will install the Python package in the default place for your platform. Additionally, it will install example scripts in a subdirectory flowtracks-examples/ under the default executable location, and a the documentation in the default package root. For information on where these directories are on your platform (and how to change them), refer to the Python documentation [1]. Other standard features of the setup script are also described therein.

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/2/install/index.html [2] http://jupyter.org/

Owner

  • Name: Open source particle tracking velocimetry - OpenPTV
  • Login: OpenPTV
  • Kind: organization
  • Email: openptv@gmail.com

GitHub Events

Total
  • Release event: 1
  • Watch event: 2
  • Delete event: 7
  • Push event: 7
  • Pull request event: 18
  • Create event: 8
Last Year
  • Release event: 1
  • Watch event: 2
  • Delete event: 7
  • Push event: 7
  • Pull request event: 18
  • Create event: 8

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 216
  • Total Committers: 4
  • Avg Commits per committer: 54.0
  • Development Distribution Score (DDS): 0.398
Past Year
  • Commits: 7
  • Committers: 1
  • Avg Commits per committer: 7.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Yosef Meller m****f@n****l 130
Alex Liberzon a****b 43
Yosef Meller y****l@p****l 42
Yosef Meller y****m@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 11
  • Total pull requests: 47
  • Average time to close issues: 12 months
  • Average time to close pull requests: 3 months
  • Total issue authors: 3
  • Total pull request authors: 3
  • Average comments per issue: 1.45
  • Average comments per pull request: 0.45
  • Merged pull requests: 42
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 12
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 minute
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 12
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • alexlib (10)
  • OpenPTVuser (1)
  • StefWouters1 (1)
Pull Request Authors
  • alexlib (36)
  • yosefm (22)
  • gitter-badger (1)
Top Labels
Issue Labels
enhancement (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 296 last-month
  • Total dependent packages: 1
  • Total dependent repositories: 1
  • Total versions: 2
  • Total maintainers: 1
pypi.org: flowtracks

Library for handling of PTV trajectory database.

  • Versions: 2
  • Dependent Packages: 1
  • Dependent Repositories: 1
  • Downloads: 296 Last month
Rankings
Dependent packages count: 3.2%
Forks count: 10.2%
Stargazers count: 17.1%
Average: 18.7%
Dependent repos count: 22.1%
Downloads: 41.0%
Maintainers (1)
Last synced: 6 months ago

Dependencies

setup.py pypi