The lsst.ap.pipe module links together a set of common image processing tasks so that a user may run one command on a dataset of raw, ingested images rather than several. The Alert Production (AP) pipeline includes the following key data processing Tasks for LSST Prompt Data Products: IsrTask, CharacterizeImageTask, CalibrateTask, ImageDifferenceTask, and DiaPipelineTask.

At present, the alert production pipeline is implemented using two separate frameworks that store and retrieve data from “Butler” repositories in incompatible ways:


lsst.ap.pipe is developed at You can find Jira issues for this module under the ap_pipe component.

Script reference

Task reference

Command-line tasks

Command-line task representing the entire AP pipeline.

Python API reference

lsst.ap.pipe Package


ApPipeConfig Settings and defaults for ApPipeTask.
ApPipeTask(butler, *args, **kwargs) Command-line task representing the entire AP pipeline.