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krippendorff

Fast computation of Krippendorff's alpha agreement measure in Python.

https://github.com/pln-fing-udelar/fast-krippendorff

Science Score: 23.0%

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
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    2 of 7 committers (28.6%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.8%) to scientific vocabulary

Keywords

agreement alpha coders inter-annotator-agreement krippendorff reliability reliability-rating units values

Keywords from Contributors

cryptocurrencies
Last synced: 6 months ago · JSON representation

Repository

Fast computation of Krippendorff's alpha agreement measure in Python.

Basic Info
  • Host: GitHub
  • Owner: pln-fing-udelar
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 87.9 KB
Statistics
  • Stars: 148
  • Watchers: 12
  • Forks: 17
  • Open Issues: 4
  • Releases: 16
Topics
agreement alpha coders inter-annotator-agreement krippendorff reliability reliability-rating units values
Created over 8 years ago · Last pushed about 1 year ago
Metadata Files
Readme License

README.md

Actions Status Version License Supported Python versions

Fast Krippendorff

Fast computation of Krippendorff's alpha agreement measure.

Based on Thomas Grill implementation.

Example usage

Given a reliability data matrix, run:

```python import krippendorff

krippendorff.alpha(reliability_data=...) ```

See sample.py and alpha's docstring for more details.

Installation

bash pip install krippendorff

Caveats

The implementation is fast as it doesn't do a nested loop for the coders. However, V should be small, since a VxV matrix it's used.

Citing

If you use this code in your research, please cite Fast Krippendorff:

bibtex @misc{castro-2017-fast-krippendorff, author = {Santiago Castro}, title = {Fast {K}rippendorff: Fast computation of {K}rippendorff's alpha agreement measure}, year = {2017}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/pln-fing-udelar/fast-krippendorff}} }

Owner

  • Name: Grupo PLN, UdelaR
  • Login: pln-fing-udelar
  • Kind: organization
  • Location: Uruguay

Natural Language Processing Group from University of the Republic, Uruguay

GitHub Events

Total
  • Create event: 3
  • Issues event: 1
  • Release event: 1
  • Watch event: 10
  • Delete event: 2
  • Issue comment event: 2
  • Push event: 7
  • Pull request event: 4
  • Fork event: 2
Last Year
  • Create event: 3
  • Issues event: 1
  • Release event: 1
  • Watch event: 10
  • Delete event: 2
  • Issue comment event: 2
  • Push event: 7
  • Pull request event: 4
  • Fork event: 2

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 117
  • Total Committers: 7
  • Avg Commits per committer: 16.714
  • Development Distribution Score (DDS): 0.53
Past Year
  • Commits: 27
  • Committers: 3
  • Avg Commits per committer: 9.0
  • Development Distribution Score (DDS): 0.333
Top Committers
Name Email Commits
Santiago Castro s****0@h****m 55
Santiago Castro s****o@u****u 40
Santiago Castro s****o@f****y 17
Santiago Castro b****t@m****y 2
Norman Gilmore g****t@t****m 1
dependabot-preview[bot] 2****] 1
Grotrek g****k@g****m 1
Committer Domains (Top 20 + Academic)
teamforecast.com: 1 montevideo.com.uy: 1 fing.edu.uy: 1 umich.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 18
  • Total pull requests: 21
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 15 days
  • Total issue authors: 15
  • Total pull request authors: 5
  • Average comments per issue: 2.56
  • Average comments per pull request: 0.67
  • Merged pull requests: 20
  • Bot issues: 0
  • Bot pull requests: 2
Past Year
  • Issues: 3
  • Pull requests: 6
  • Average time to close issues: 15 days
  • Average time to close pull requests: 2 minutes
  • Issue authors: 3
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • Garrafao (3)
  • Alex-Bujorianu (2)
  • vanatteveldt (1)
  • grigsos (1)
  • BeRT2me (1)
  • agrizzli (1)
  • imranraad07 (1)
  • thatch (1)
  • yh08 (1)
  • mxli417 (1)
  • johannabi (1)
  • rabinadk1 (1)
  • KonstantinHebenstreit (1)
  • bryant1410 (1)
  • deeuu (1)
Pull Request Authors
  • bryant1410 (19)
  • normangilmore (2)
  • dependabot[bot] (2)
  • grotrek (1)
  • dependabot-preview[bot] (1)
Top Labels
Issue Labels
Pull Request Labels
dependencies (3)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 39,394 last-month
  • Total dependent packages: 2
  • Total dependent repositories: 41
  • Total versions: 19
  • Total maintainers: 1
pypi.org: krippendorff

Fast computation of the Krippendorff's alpha measure.

  • Versions: 19
  • Dependent Packages: 2
  • Dependent Repositories: 41
  • Downloads: 39,394 Last month
Rankings
Dependent repos count: 2.3%
Dependent packages count: 3.2%
Downloads: 4.9%
Average: 5.4%
Stargazers count: 7.0%
Forks count: 9.6%
Maintainers (1)
bryant1410
Last synced: 6 months ago

Dependencies

pyproject.toml pypi
  • pytest * develop
  • numpy *
  • python ^3.7
.github/workflows/main.yml actions
  • abatilo/actions-poetry v2 composite
  • actions/checkout v4 composite
  • actions/setup-python v4 composite
.github/workflows/publish.yml actions
  • abatilo/actions-poetry v2 composite
  • actions/checkout v4 composite
  • actions/setup-python v4 composite