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A simple command line interface to the datamade/dedupe library.

Is dssg/pgdedupe beginner-friendly?

We have not seen enough recent pull requests from outside contributors to dssg/pgdedupe to say how often they are merged. No beginner-friendly issue is open right now; the list below has the other issues we hold for it.

Stars
43
Forks
5
Open beginner issues
0
Indexed issues
15
Dominant language
Jupyter Notebook
License
No license data
Last GitHub push
Jan 29, 2018
Latest indexed
Sep 15, 2026
Contributing guide
Contributing guide
Code of conduct
No code of conduct
Beginner labels
No beginner labels indexed
PR merge metrics
No merged PRs in 30d

How to contribute to dssg/pgdedupe

  1. Read the contributing guide first: it says how the maintainers want changes proposed, tested and reviewed.
  2. Follow the repository to hear when a new beginner-friendly issue opens, or look through the other issues below.

Issues somebody may already be working on are listed last. List everything by date

  • Create custom name comparison
    Open

    Difficulty 5/5 Over a week Newbie friendliness 25/100

    dssg/pgdedupe#88 ·

  • Improve logging/visualization for blocking parameters
    Open

    Difficulty 5/5 Over a week Newbie friendliness 20/100

    dssg/pgdedupe#87 ·

  • Record time to complete
    Open

    Difficulty 3/5 1-2 days Newbie friendliness 35/100

    dssg/pgdedupe#72 · 1 comment ·

  • Write blocking rules to table
    Open

    Difficulty 5/5 Over a week Newbie friendliness 25/100

    dssg/pgdedupe#71 ·

  • Add table cleanup step
    Open

    Difficulty 4/5 3-5 days Newbie friendliness 30/100

    dssg/pgdedupe#66 ·

  • Use user-set clustering thresholds
    Open

    Difficulty 5/5 Over a week Newbie friendliness 25/100

    dssg/pgdedupe#65 ·

  • Document Results Tables
    Open

    Difficulty 3/5 1-2 days Newbie friendliness 25/100

    dssg/pgdedupe#64 ·

  • Store labeled examples in a table
    Open

    Difficulty 5/5 Over a week Newbie friendliness 25/100

    dssg/pgdedupe#63 ·

  • Implement method for matching new records to existing clusters
    Open

    Difficulty 4/5 3-5 days Newbie friendliness 25/100

    dssg/pgdedupe#62 ·

  • components 're-filtered'
    Open

    Difficulty 4/5 3-5 days Newbie friendliness 25/100

    dssg/pgdedupe#48 ·

  • Better output and reporting of found duplicates
    Open

    Difficulty 5/5 Over a week Newbie friendliness 35/100

    dssg/pgdedupe#20 ·

  • Generate reproducible IDs
    Open

    Difficulty 5/5 Over a week Newbie friendliness 30/100

    dssg/pgdedupe#19 ·

  • Use all available information
    Open

    Difficulty 5/5 Over a week Newbie friendliness 20/100

    dssg/pgdedupe#18 · 1 comment ·

  • Add tests!
    Open

    Difficulty 5/5 Over a week Newbie friendliness 10/100

    dssg/pgdedupe#12 · 1 comment ·

  • Use a custom comparator for ID numbers and DOBs
    Open

    Difficulty 3/5 1-2 days Newbie friendliness 42/100

    dssg/pgdedupe#8 · 2 comments ·

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