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M
DataFreeOpen Source
MILLER
awk, sed, cut, join, and sort for CSV and tabular JSON
BSD-2-Clause
ABOUT
Eval sets and feature dumps arrive as huge CSV or JSON lines that are painful to inspect in pandas and awkward in awk. Miller streams name-indexed records so you can filter, join, and summarize tables in a pipeline without a Python process or loading the file into memory.
INSTALL
brew install millerINTEGRATION GUIDE
1. Filter and summarize LLM eval CSVs in CI without a pandas script
2. Join prediction TSV with ground-truth CSV by a named key
3. Convert nested JSON logs into flat tables for a metrics dashboard
4. Compute group-by stats on streaming feature dumps from a training job
TAGS
csvtsvclidata-wranglinggolang