PyCalendar/ai-prompt-auto-commit

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    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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    Issues (4)
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    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.

    What the statistics mean
    classnfitaveragestd errormedian95%
    bot5measured2h 14min2h 14min0min8h 54min
    bot5normal2h 14min1h 59min2h 14min9h 33min
    bot5exponential2h 14min1h1h 33min6h 41min
    bot6Kaplan-Meier--0min-
    collaborator or higher3measured14d 20h12d 19h2d 12h36d 16h
    collaborator or higher3normal14d 20h10d 11h14d 20h44d 16h
    collaborator or higher3exponential14d 20h8d 13h10d 7h44d 11h
    collaborator or higher6Kaplan-Meier--40d 11h40d 11h

    n counts the items with a response of the class. Kaplan-Meier counts all items, so its n is the same for every class: the items without a response of the class count as waiting, until they were closed or until now. How to read the response times

    Trend: too few responses to tell whether they get faster or slower. How the trend is computed

    What the statistics mean
    classnfitaveragestd errormedian95%
    collaborator or higher1measured44min-44min44min
    collaborator or higher1normal44min-44min-
    collaborator or higher1exponential44min44min31min2h 12min
    collaborator or higher4Kaplan-Meier----

    n counts the items with a response of the class. Kaplan-Meier counts all items, so its n is the same for every class: the items without a response of the class count as waiting, until they were closed or until now. How to read the response times

    Trend: too few responses to tell whether they get faster or slower. How the trend is computed

    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), model = measured, normal, exponential or kaplan-meier (optional), label = the text of the left side (optional).

    badge preview