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Open Source Science

https://github.com/clariah/iribaker

Safely convert IRI-like string to IRI.

https://github.com/clariah/iribaker

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
    1 of 4 committers (25.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.2%) to scientific vocabulary

Keywords from Contributors

linked-data linked-data-api open-api semantic-web sparql swagger-ui
Last synced: 11 months ago · JSON representation

Repository

Safely convert IRI-like string to IRI.

Basic Info
  • Host: GitHub
  • Owner: CLARIAH
  • License: mit
  • Language: Python
  • Default Branch: master
  • Size: 12.7 KB
Statistics
  • Stars: 3
  • Watchers: 5
  • Forks: 2
  • Open Issues: 4
  • Releases: 3
Created about 11 years ago · Last pushed about 3 years ago
Metadata Files
Readme License

readme.md

IRI Baker

Simple library for baking RFC3987 compliant IRIs from IRI-like strings.

Installation

Simply do pip3 install iribaker

Or, download this package and run python setup.py install

Usage

  • Import the package (import iribaker)
  • Call iribaker.to_iri(string) with the string you want to check (utf-8 and unicode supported)
  • For example: iri = iribaker.to_iri('http://example.com/€eéf')
  • The function returns:
    • The same (unicode) string, if it is a valid IRI
    • A string where each invalid character is replaced with an underscore (_). This means no roundtripping!
    • A quoted version of the string (using the standard urllib.parse.quote)

E.g. in Python Pandas you could create IRI's for a column with places and have schema:name's for them: g.add((URIRef(iribaker.to_iri('https://example.com/'+str(row['places']))), SDO.name, Literal(str(row['places']), datatype=XSD.string)))

License

This software is made available under the MIT license (see LICENSE for details)

Owner

  • Name: CLARIAH
  • Login: CLARIAH
  • Kind: organization

CLARIAH offers humanities scholars a Common Lab providing access to large collections of digital resources and innovative tools for research

GitHub Events

Total
Last Year

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 22
  • Total Committers: 4
  • Avg Commits per committer: 5.5
  • Development Distribution Score (DDS): 0.455
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Rinke Hoekstra r****a@v****l 12
Hoekstra, Rinke (ELS-AMS) r****a@e****m 5
Melvin Roest m****t@g****m 4
Richard Zijdeman r****n@i****l 1
Committer Domains (Top 20 + Academic)
iisg.nl: 1 elsevier.com: 1 vu.nl: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 5
  • Total pull requests: 1
  • Average time to close issues: 4 minutes
  • Average time to close pull requests: N/A
  • Total issue authors: 4
  • Total pull request authors: 1
  • Average comments per issue: 0.2
  • Average comments per pull request: 0.0
  • 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
View more stats
Top Authors
Issue Authors
  • rlzijdeman (2)
  • Sozialarchiv (1)
  • RinkeHoekstra (1)
Pull Request Authors
  • rlzijdeman (1)
Top Labels
Issue Labels
bug (1) help wanted (1)
Pull Request Labels

Dependencies

setup.py pypi
  • rfc3987 *