PyCalendar/icalendar-anonymizer

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    RepositoryPull requestsIssuesCompleteRead
    PyCalendar/icalendar-anonymizer 83 / 83 86 / 86 100% 1 hour, 15 minutes ago

    Download the data behind this page. The ODS spreadsheets also have the data each table was made from, and what the download is.

    How to check the numbers with scipy.

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    Pull requests (83)
    2
    open
    76
    merged
    5
    closed unmerged
    Issues (86)
    23
    open
    63
    closed

    Response times

    Time until the first response of each class of people (edit classes). The author's own comments do not count. Measured, normal and exponential use only the items that got a response; Kaplan-Meier counts the others, too, as waiting at least until they were closed or until now, and is "-" where less than half (or 95 %) got a response.

    Pull requests: first response times
    classnfitaveragestd errormedian95%
    bot75measured2min1min1min5min
    bot75normal2min1min2min10min
    bot75exponential2min0min1min6min
    bot83Kaplan-Meier--1min-
    collaborator or higher28measured3d 8h1d20h 29min10d 6h
    collaborator or higher28normal3d 8h1d3d 8h12d 5h
    collaborator or higher28exponential3d 8h15h 11min2d 7h10d
    collaborator or higher83Kaplan-Meier--3d 19h-
    Issues: first response times
    classnfitaveragestd errormedian95%
    collaborator or higher31measured13d 11h9d5h 51min52d 2h
    collaborator or higher31normal13d 11h8d 21h13d 11h94d 20h
    collaborator or higher31exponential13d 11h2d 10h9d 8h40d 8h
    collaborator or higher86Kaplan-Meier----

    Badges

    Embed the response time in a README. The badge counts with the default classes of people. The badge shows what is in the database and never calls GitHub. Parameters: kind = pr or issue, percentile = 0-100, class = a class name (optional).

    badge preview