trackpy

Python particle tracking toolkit

https://github.com/soft-matter/trackpy

Science Score: 46.0%

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
    Found .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    10 of 41 committers (24.4%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.3%) to scientific vocabulary

Keywords from Contributors

gtk qt tk wx closember parallel
Last synced: 7 months ago · JSON representation

Repository

Python particle tracking toolkit

Basic Info
Statistics
  • Stars: 472
  • Watchers: 18
  • Forks: 137
  • Open Issues: 120
  • Releases: 21
Created almost 14 years ago · Last pushed 9 months ago
Metadata Files
Readme License Zenodo

README.md

trackpy

Build status Build status DOI

What is it?

trackpy is a Python package for particle tracking in 2D, 3D, and higher dimensions. Read the walkthrough to skim or study an example project from start to finish.

Documentation

Read the documentation for

  • an introduction
  • tutorials on the basics, 3D tracking, and much, much more
  • easy installation instructions
  • the reference guide

If you use trackpy for published research, please cite the release both to credit the contributors, and to direct your readers to the exact version of trackpy they could use to reproduce your results.

Owner

  • Name: Soft Matter
  • Login: soft-matter
  • Kind: organization

Code useful for doing soft-matter research

GitHub Events

Total
  • Issues event: 7
  • Watch event: 28
  • Issue comment event: 23
  • Push event: 7
  • Pull request review event: 3
  • Pull request event: 13
  • Fork event: 6
Last Year
  • Issues event: 7
  • Watch event: 28
  • Issue comment event: 23
  • Push event: 7
  • Pull request review event: 3
  • Pull request event: 13
  • Fork event: 6

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 1,682
  • Total Committers: 41
  • Avg Commits per committer: 41.024
  • Development Distribution Score (DDS): 0.552
Past Year
  • Commits: 29
  • Committers: 2
  • Avg Commits per committer: 14.5
  • Development Distribution Score (DDS): 0.103
Top Committers
Name Email Commits
Dan Allan d****n@g****m 753
Casper van der Wel c****w@g****m 385
Nathan Keim n****m@c****u 174
Nathan Keim n****m@s****u 79
Thomas A Caswell t****l@u****u 76
Devin d****r@g****m 42
Nathan Keim k****m@p****u 33
Dan Allan d****n@p****u 32
Ruben Verweij r****n@l****l 14
Thomas A Caswell t****l@g****m 12
Charles Reid c****1@g****m 10
Ruben Verweij v****j@p****l 9
Antony Lee a****e@g****m 8
Lars G l****u@m****g 6
François Boulogne f****g 5
Thierry t****o@g****m 5
Victor Allard v****r@l****) 3
Kieran Ramos r****n@g****m 3
crisp-snakey b****g@h****m 3
Daniel Firester d****r@D****l 3
François Boulogne f****e@s****g 2
Hugo van Kemenade h****k@u****m 2
RebeccaWPerry p****a@g****m 2
Ruben Verweij r****w@u****m 2
zoeith z****h@g****m 2
apiszcz a****z@g****m 2
Daniel Firester d****r@l****) 1
Patrick Figliozzi p****i@u****u 1
Casper van der Wel w****l@p****l 1
Jan Schulz j****c@g****t 1
and 11 more...

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 115
  • Total pull requests: 54
  • Average time to close issues: 5 months
  • Average time to close pull requests: 4 months
  • Total issue authors: 67
  • Total pull request authors: 16
  • Average comments per issue: 2.6
  • Average comments per pull request: 1.52
  • Merged pull requests: 48
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 7
  • Pull requests: 16
  • Average time to close issues: 16 days
  • Average time to close pull requests: 22 days
  • Issue authors: 6
  • Pull request authors: 4
  • Average comments per issue: 1.57
  • Average comments per pull request: 0.69
  • Merged pull requests: 14
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • nkeim (13)
  • jacopoabramo (5)
  • besbesmany (5)
  • caspervdw (4)
  • BptGrm (4)
  • Alex-code-lab (4)
  • rodrigo-j-goncalves (3)
  • Rory235 (3)
  • loomcode (3)
  • Ciro1990 (3)
  • alexlib (3)
  • reventropy (2)
  • danielballan (2)
  • freemansw1 (2)
  • stevenvanuytsel (2)
Pull Request Authors
  • nkeim (33)
  • caspervdw (9)
  • vivarose (6)
  • hz-xiaxz (2)
  • T0T0R (2)
  • VeraMTitze (2)
  • rbnvrw (2)
  • kevin-duclos (2)
  • magnunor (1)
  • crisp-snakey (1)
  • anntzer (1)
  • ivanovmg (1)
  • tacaswell (1)
  • freemansw1 (1)
  • danielballan (1)
Top Labels
Issue Labels
bug (6) question (5) needs PR (3) maintenance (2) Good first issue (1) trackpy-examples (1) duplicate (1)
Pull Request Labels
maintenance (4) enhancement (1) bug (1)

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 7,192 last-month
  • Total docker downloads: 481
  • Total dependent packages: 28
    (may contain duplicates)
  • Total dependent repositories: 61
    (may contain duplicates)
  • Total versions: 45
  • Total maintainers: 4
pypi.org: trackpy

particle-tracking toolkit

  • Versions: 39
  • Dependent Packages: 22
  • Dependent Repositories: 53
  • Downloads: 7,192 Last month
  • Docker Downloads: 481
Rankings
Dependent packages count: 0.6%
Dependent repos count: 2.0%
Docker downloads count: 2.5%
Average: 2.9%
Stargazers count: 3.2%
Forks count: 4.3%
Downloads: 4.8%
Last synced: 7 months ago
conda-forge.org: trackpy

trackpy is a Python package for particle tracking in 2D, 3D, and higher dimensions.

  • Versions: 6
  • Dependent Packages: 6
  • Dependent Repositories: 8
Rankings
Dependent packages count: 9.0%
Dependent repos count: 12.2%
Average: 14.6%
Forks count: 17.0%
Stargazers count: 20.1%
Last synced: 8 months ago

Dependencies

.github/workflows/test-conda.yml actions
  • actions/checkout v2 composite
  • s-weigand/setup-conda v1.0.5 composite
.github/workflows/test-pip.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
setup.py pypi
  • matplotlib *
  • numpy >=1.14
  • pandas >=0.22
  • pyyaml *
  • scipy >=1.1