Convert a multi-modal robotics dataset (MCAP, HDF5, LeRobot, parquet, raw video) into layered Rerun recordings (.rrd) and a catalog-ready dataset. Use whenever the user wants a dataset converted or ingested into Rerun, a conversion pipeline reviewed or…
Performance patterns and gotchas for querying a Rerun catalog from Python. Reach for this when a CatalogClient/dataset query is unexpectedly slow, or when shaping a per-segment / per-episode pipeline that hits the catalog from many places.
Investigate Puffin profiler recordings (.puffin files), find slow scopes, and compare before/after traces using the `rerun dump-puffin` command and bundled analysis helpers.
Assemble the per-PR changeset entries in docs/content/changelog/upcoming/ into a release's changeset-0-XX.md and generate the detailed CHANGELOG.md sections. Use at release time when the user wants to build or finalize the changelog or changeset for a Rerun…
Ingest a LeRobot (HuggingFace) dataset into Rerun. Read when converting a LeRobot dataset to RRDs, splitting it into per-episode segments, or registering it on a Rerun catalog. Covers the built-in directory importer (log_file_from_path), the per-episode…
Core mechanics of the Rerun Chunk Processing API (rerun.experimental) — LazyChunkStream pipelines, Chunk, lenses (MutateLens/DeriveLens/Selector), RrdReader, writing optimized RRDs. Read BEFORE writing any ingestion/conversion/preprocessing code (convert an…
How raw multimodal robot data maps onto the Rerun data model. Read FIRST, before modeling or converting a dataset — and whenever you are about to convert/ingest/preprocess robot data into an .rrd or build a Rerun recording, even if not asked for the data…
Drive the Rerun URDF API (rerun.urdf.UrdfTree) to ingest a URDF as a Transform3D layer on a robot recording. Read when logging a robot model, running forward kinematics from joint states, composing a fixed chain for sensor extrinsics, or when the transform…