PyCalendar/pycal.org
Data sources
| Repository | Pull requests | Issues | Complete | Read |
|---|---|---|---|---|
| PyCalendar/pycal.org | 27 / 27 | 33 / 33 | 100% | 1 day, 3 hours ago |
Download the data behind this page. The ODS spreadsheets also have the data each table was made from, and what the download is.
- response times: ODS, CSV, Parquet, JSON
- pull requests and issues: ODS, CSV, Parquet
- comments and reviews: ODS, CSV, Parquet
- commits: ODS, CSV, Parquet
- contributors: ODS, CSV, Parquet
How to check the numbers with scipy.
Sources shown
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.
| class | n | fit | average | std error | median | 95% |
|---|---|---|---|---|---|---|
| collaborator or higher | 23 | measured | 3d 9h | 1d 17h | 3h 29min | 11d 1h |
| collaborator or higher | 23 | normal | 3d 9h | 1d 16h | 3d 9h | 16d 16h |
| collaborator or higher | 23 | exponential | 3d 9h | 16h 54min | 2d 8h | 10d 2h |
| collaborator or higher | 27 | Kaplan-Meier | - | - | 10h 11min | 38d 10h |
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: no clear change of the time until the first response over time (p = 0.68, 23 responses). How the trend is computed
| class | n | fit | average | std error | median | 95% |
|---|---|---|---|---|---|---|
| collaborator or higher | 12 | measured | 18d 13h | 13d 14h | 1d 7h | 97d 10h |
| collaborator or higher | 12 | normal | 18d 13h | 13d | 18d 13h | 92d 16h |
| collaborator or higher | 12 | exponential | 18d 13h | 5d 8h | 12d 20h | 55d 13h |
| collaborator or higher | 33 | Kaplan-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: no clear change of the time until the first response over time (p = 0.68, 12 responses). 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).