rerun-parquet
rerun-parquet is a Data pipelines & ETL skill for AI agents, published by rerun-io in the rerun repository on GitHub. Skillspace rates rerun-parquet D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Ingest tabular Parquet files into Rerun chunk streams with rerun.experimental.ParquetReader. Read when converting trajectory or sensor tables (LeRobot-style parquet, exported logs) into entities and components — column grouping, timeline/index columns, static columns, and lenses (DeriveLens) that assemble the typed components (Transform3D, Scalars) from the reader's grouped struct/scalar output. Builds on rerun-chunk-processing and rerun-data-model.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 11,133
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 2 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Documents Rerun's own public ParquetReader library API
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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