diff --git a/docs/assets/20250204_versionstream.png b/docs/assets/20250204_versionstream.png new file mode 100644 index 0000000..2f3130d Binary files /dev/null and b/docs/assets/20250204_versionstream.png differ diff --git a/docs/assets/20250204_weekly.png b/docs/assets/20250204_weekly.png new file mode 100644 index 0000000..4038c33 Binary files /dev/null and b/docs/assets/20250204_weekly.png differ diff --git a/docs/index.md b/docs/index.md index 3811fab..43b617d 100644 --- a/docs/index.md +++ b/docs/index.md @@ -15,10 +15,10 @@ We refer to data *directly consumable by analyses* as ***analysis-grade data*** *NiPreps* were conceived as a generalization of *fMRIPrep* across new modalities, populations, cohorts, and species. *fMRIPrep* is widely adopted, as our telemetry with Sentry (and now, *in-house* with [migas](https://github.com/nipreps/migas-py)) shows: -| ![fmriprep usage](assets/20250102_weekly.png) | +| ![fmriprep usage](assets/20250204_weekly.png) | |:--:| | *fMRIPrep* is executed an average of 11,800 times every week, of which, around 7,800 times it finishes successfully (66.2% success rate). The average number of executions started includes debug and *dry* runs where researchers do not intend actually process data. Therefore, the *effective* (that is, discarding test runs) success ratio of *fMRIPrep* is likely higher. | -| ![fmriprep versions](assets/20250102_versionstream.png) | +| ![fmriprep versions](assets/20250204_versionstream.png) | |:--:| | Streamplot of *fMRIPrep*'s version adoption. |