PyCalendar/calendaring-sync

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    RepositoryPull requestsIssuesCompleteRead
    PyCalendar/calendaring-sync 19 / 19 21 / 21 100% 1 hour, 13 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 (19)
    0
    open
    19
    merged
    0
    closed unmerged
    Issues (21)
    5
    open
    16
    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%
    bot13measured1min0min1min1min
    bot13normal1min0min1min1min
    bot13exponential1min0min1min3min
    bot19Kaplan-Meier--1min-
    collaborator or higher7measured4h 24min2h 34min2h 7min15h 7min
    collaborator or higher7normal4h 24min2h 23min4h 24min14h 46min
    collaborator or higher7exponential4h 24min1h 40min3h 3min13h 10min
    collaborator or higher19Kaplan-Meier--2h 21min19h 22min
    Issues: first response times
    classnfitaveragestd errormedian95%
    collaborator or higher1measured19h 47min-19h 47min19h 47min
    collaborator or higher1normal19h 47min-19h 47min-
    collaborator or higher1exponential19h 47min19h 47min13h 43min2d 11h
    collaborator or higher21Kaplan-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