PyCalendar/x-wr-timezone

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    RepositoryPull requestsIssuesCompleteRead
    PyCalendar/x-wr-timezone 30 / 30 20 / 20 100% 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 (30)
    3
    open
    21
    merged
    6
    closed unmerged
    Issues (20)
    7
    open
    13
    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%
    collaborator or higher14measured8d 20h2d 23h22h 36min23d 15h
    collaborator or higher14normal8d 20h2d 21h8d 20h26d 14h
    collaborator or higher14exponential8d 20h2d 8h6d 3h26d 12h
    collaborator or higher30Kaplan-Meier--21d 23h-
    Issues: first response times
    classnfitaveragestd errormedian95%
    collaborator or higher7measured368d 22h214d 11h3d 18h1227d 9h
    collaborator or higher7normal368d 22h198d 13h368d 22h1233d 3h
    collaborator or higher7exponential368d 22h139d 10h255d 17h1105d 5h
    collaborator or higher20Kaplan-Meier--523d 3h1529d 4h
    external2measured104d 4h103d 9h104d 4h197d 5h
    external2normal104d 4h73d 2h104d 4h274d 5h
    external2exponential104d 4h73d 15h72d 4h312d 1h
    external20Kaplan-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