PyCalendar/sphinx-icalendar

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    Data sources

    RepositoryPull requestsIssuesCompleteRead
    PyCalendar/sphinx-icalendar 2 / 2 4 / 4 100% 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.

    Sources shown

    Pull requests (2)
    0
    open
    2
    merged
    0
    closed unmerged
    Issues (4)
    1
    open
    3
    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 higher2measured1d 13h1d 12h1d 13h2d 22h
    collaborator or higher2normal1d 13h1d 2h1d 13h4d 2h
    collaborator or higher2exponential1d 13h1d 2h1d 2h4d 16h
    collaborator or higher2Kaplan-Meier--51min3d 2h
    Issues: first response times
    classnfitaveragestd errormedian95%
    collaborator or higher2measured13d 7h9d 10h13d 7h21d 18h
    collaborator or higher2normal13d 7h6d 16h13d 7h28d 19h
    collaborator or higher2exponential13d 7h9d 9h9d 5h39d 20h
    collaborator or higher4Kaplan-Meier--3d 20h22d 17h

    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