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Open Source Science

naampy

Infer Sociodemographic Characteristics from Names Using Indian Electoral Rolls

https://github.com/appeler/naampy

Science Score: 44.0%

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 links in README
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (0.3%) to scientific vocabulary

Keywords

electoral-rolls gender-classification india names
Last synced: 6 months ago · JSON representation ·

Repository

Infer Sociodemographic Characteristics from Names Using Indian Electoral Rolls

Basic Info
  • Host: GitHub
  • Owner: appeler
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 11.3 MB
Statistics
  • Stars: 10
  • Watchers: 3
  • Forks: 0
  • Open Issues: 0
  • Releases: 3
Topics
electoral-rolls gender-classification india names
Created about 6 years ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

Owner

  • Name: appeler
  • Login: appeler
  • Kind: organization

Making sense of names.

Citation (Citation.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Laohaprapanon"
  given-names: "Suriyan" 
- family-names: "Sood"
  given-names: "Gaurav"
- family-names: "Chintalapati"
  given-names: "Rajashekar"
title: "naampy: Infer Sociodemographic Characteristics from Indian Names"
version: 0.4.2
date-released: 2022-07-22
url: "https://github.com/appeler/naampy"

GitHub Events

Total
  • Watch event: 2
  • Delete event: 1
  • Push event: 17
  • Pull request event: 2
  • Create event: 1
Last Year
  • Watch event: 2
  • Delete event: 1
  • Push event: 17
  • Pull request event: 2
  • Create event: 1

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 72
  • Total Committers: 4
  • Avg Commits per committer: 18.0
  • Development Distribution Score (DDS): 0.458
Top Committers
Name Email Commits
***** g****7@g****m 39
Suriyan Laohaprapanon s****t@g****m 20
Rajashekar Chintalapati r****i@w****m 12
Snyk bot g****t@s****o 1
Committer Domains (Top 20 + Academic)
snyk.io: 1 walmart.com: 1

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 2
  • Total pull requests: 6
  • Average time to close issues: 7 days
  • Average time to close pull requests: 21 minutes
  • Total issue authors: 2
  • Total pull request authors: 3
  • Average comments per issue: 2.0
  • Average comments per pull request: 0.17
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 2
Past Year
  • Issues: 0
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 7 minutes
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 1
View more stats
Top Authors
Issue Authors
  • saurabhzuve (1)
  • LSYS (1)
Pull Request Authors
  • suriyan (3)
  • dependabot[bot] (3)
  • snyk-bot (1)
Top Labels
Issue Labels
Pull Request Labels
dependencies (3) python (2)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 164 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 8
  • Total maintainers: 3
pypi.org: naampy

Infer Gender from Indian Names

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 164 Last month
Rankings
Dependent packages count: 10.0%
Downloads: 17.8%
Stargazers count: 18.5%
Average: 19.6%
Dependent repos count: 21.7%
Forks count: 29.8%
Maintainers (3)
soodoku suriyan rajashekar
Last synced: 7 months ago

Dependencies

requirements.txt pypi
  • pandas >=0.19.2
  • requests *
  • tensorflow ==2.8.
  • tqdm *
setup.py pypi
  • pandas >=0.19.2
  • requests *
  • tensorflow ==2.8.
  • tqdm *
.github/workflows/python-publish.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • pypa/gh-action-pypi-publish 27b31702a0e7fc50959f5ad993c78deac1bdfc29 composite
.github/workflows/test.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
requirements-rtd.txt pypi
  • numpy *
  • pandas >=0.19.2
  • requests *
  • sphinx ==6.1.3
  • sphinx-rtd-theme ==1.2.0
  • tensorflow ==2.8.
  • tqdm *
streamlit/requirements.txt pypi
  • Cython >=0.28.5
  • joblib *
  • keras *
  • naampy *
  • nltk *
  • numpy >=1.22.0
  • pandas >=1.3.0
  • scikit-learn ==0.22.2.post1
  • setuptools >=65.5.1
  • streamlit *
  • tensorflow >=2.7.2,<3
  • tqdm *
.github/workflows/adjacent_repo_recommender.yaml actions
  • actions/checkout v4 composite
  • gojiplus/adjacent v1.3 composite