figio

A Python application that uses declarative yml input file recipes to produce high quality matplotlib and LaTeX figures.

https://github.com/autotwin/figio

Science Score: 57.0%

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
    Found 3 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

A Python application that uses declarative yml input file recipes to produce high quality matplotlib and LaTeX figures.

Basic Info
  • Host: GitHub
  • Owner: autotwin
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 210 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 9
Created about 1 year ago · Last pushed 12 months ago
Metadata Files
Readme License Citation Zenodo

README.md

figio

book pypi DOI

figio is a Python application that uses declarative yml input file recipes to produce high quality matplotlib and $\LaTeX$ figures.

To get started, see the documentation.

Owner

  • Name: autotwin
  • Login: autotwin
  • Kind: organization

Automated Workflow from `Image` to `Mesh` for the Human Digital Twin

Citation (CITATION.cff)

cff-version: 1.2.0
title: figio
message: 'If you use this software, please cite it as below.'
type: software
authors:
  - family-names: Hovey
    given-names: Chad B.
    orcid: 'https://orcid.org/0000-0003-1892-0502'
    email: chovey@sandia.gov
    affiliation: Sandia National Laboratories
  - family-names: Buche
    given-names: Michael R.
    orcid: 'https://orcid.org/0000-0003-0915-5765'
    email: mrbuche@sandia.gov
    affiliation: Sandia National Laboratories
identifiers:
  - type: doi
    value: 10.5281/zenodo.14630355
repository-code: 'https://github.com/autotwin/figio'
url: 'https://autotwin.github.io/figio'
abstract: A declarative method for plotting (x, y) and histogram data.
license: GPL-3.0

GitHub Events

Total
  • Release event: 9
  • Delete event: 7
  • Public event: 1
  • Push event: 65
  • Pull request event: 41
  • Create event: 20
Last Year
  • Release event: 9
  • Delete event: 7
  • Public event: 1
  • Push event: 65
  • Pull request event: 41
  • Create event: 20

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 20
  • Average time to close issues: N/A
  • Average time to close pull requests: 6 minutes
  • Total issue authors: 0
  • Total pull request authors: 3
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 20
  • Bot issues: 0
  • Bot pull requests: 6
Past Year
  • Issues: 0
  • Pull requests: 20
  • Average time to close issues: N/A
  • Average time to close pull requests: 6 minutes
  • Issue authors: 0
  • Pull request authors: 3
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 20
  • Bot issues: 0
  • Bot pull requests: 6
Top Authors
Issue Authors
Pull Request Authors
  • hovey (13)
  • github-actions[bot] (6)
  • mrbuche (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 55 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 8
  • Total maintainers: 1
pypi.org: figio

figio

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 55 Last month
Rankings
Dependent packages count: 9.8%
Average: 32.4%
Dependent repos count: 55.1%
Maintainers (1)
Last synced: 7 months ago

Dependencies

.github/workflows/Package.yml actions
  • actions/checkout v4 composite
  • actions/download-artifact v4 composite
  • actions/setup-python v5 composite
  • actions/upload-artifact v4 composite
pyproject.toml pypi
  • matplotlib *
  • numpy *
  • pyyml *
  • schema *
  • scipy *
  • tzlocal *