ichthyop

Python library for the analysis of Ichthyop outputs

https://github.com/ichthyop/ichthyop-python

Science Score: 54.0%

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

  • CITATION.cff file
    Found 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
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.5%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

Python library for the analysis of Ichthyop outputs

Basic Info
  • Host: GitHub
  • Owner: ichthyop
  • License: gpl-3.0
  • Language: Python
  • Default Branch: master
  • Homepage: http://www.ichthyop.org/
  • Size: 7.64 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 3
  • Releases: 3
Created over 5 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation Zenodo

README.md

License DOI PyPI Latest Release GitHub Issues

Ichthyop

Ichthyop (http://ichthyop.org/) is a free Java tool designed to study the effects of physical and biological factors on ichthyoplankton dynamics (code available here).

This python package is dedicated to the analysis of Ichthyop's outputs. - Plots trajectories (as a function of time, depth, etc.) - Make animations - Connectivity calculations

Owner

  • Name: Ichthyop
  • Login: ichthyop
  • Kind: organization

A Lagrangian tool for simulating ichthyoplankton dynamics

Citation (CITATION.cff)

cff-version: 1.1.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Barrier
    given-names: Nicolas
    orcid: https://orcid.org/0000-0002-1693-4719
  - family-names: Lett 
    given-names: Christophe
    orcid: https://orcid.org/0000-0001-5809-2452

title: Ichthyop Python package
version: 1.0.2
date-released: 2023-02-28
doi: 10.5281/zenodo.4109869

GitHub Events

Total
  • Issues event: 3
  • Watch event: 1
  • Issue comment event: 1
Last Year
  • Issues event: 3
  • Watch event: 1
  • Issue comment event: 1

Committers

Last synced: about 3 years ago

All Time
  • Total Commits: 25
  • Total Committers: 2
  • Avg Commits per committer: 12.5
  • Development Distribution Score (DDS): 0.36
Top Committers
Name Email Commits
barriern n****r@i****r 16
Nicolas Barrier 3****n@u****m 9
Committer Domains (Top 20 + Academic)
ird.fr: 1

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 2
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 2
  • Total pull request authors: 0
  • Average comments per issue: 1.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • ytmben (2)
  • barriern (1)
  • ejamet73 (1)
Pull Request Authors
Top Labels
Issue Labels
enhancement (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 20 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 3
  • Total maintainers: 1
pypi.org: ichthyop

Python package for the analysis of Ichthyop outputs

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 20 Last month
Rankings
Dependent packages count: 10.1%
Dependent repos count: 21.5%
Average: 29.3%
Forks count: 29.8%
Stargazers count: 38.8%
Downloads: 46.3%
Maintainers (1)
Last synced: 8 months ago

Dependencies

setup.py pypi
  • basemap >=1.0
  • matplotlib >=1.4
  • netCDF4 >=1.1
  • numpy >=1.9
  • pyshp *
  • xarray >=0.1