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Miller

Project10K

Clean, transform, join, and summarize CSV, TSV, JSON, and other structured data from the command line.

Added 2026-10-07
Replaces
GitHub

What you can build

  • Rename and derive fields in incoming CSV files, then write cleaned records in a consistent format.
  • Select relevant records from structured logs and convert them to CSV for use in a data-analysis tool.
  • Join records by named fields to create a combined output for review or downstream processing.
  • Aggregate numeric fields from a tabular input into a compact report.
  • Transform JSON Lines records into CSV or TSV when preparing data for spreadsheet review.

Try this prompt

Build a small end-to-end command-line workflow using Miller to clean a supplied CSV export: inspect its fields, select and rename relevant columns, derive one field from existing values, and write the result to a separate output file. Include a concise record-count check and document the input and output formats. Preserve the original file, avoid assuming a fixed schema beyond the provided sample, and explain any fields the workflow cannot handle.

Get started

  1. Install Miller

    Choose a prebuilt package from the operating-system options in the repository README, or follow its linked official build-from-source documentation.

  2. Learn the workflow

    Start with the official “Miller in 10 minutes” guide linked from the README; it introduces field-oriented processing and formats.

  3. Try it on a copy

    Use a small CSV, TSV, JSON, or JSON Lines file, and write transformed output to a separate file so the original remains unchanged.

License & notes

BSD-2-ClauseNo paid API or model is documented or required. Processing uses your own machine’s compute and storage. The BSD-2-Clause license permits commercial use; retain the copyright notice, license conditions, and disclaimer in redistributions.

  • Miller is a command-line tool, not a graphical file editor or hosted data-preparation service.
  • Most operations stream records, but sorting and some statistical operations retain data and can require additional memory.
  • BSD-2-Clause redistribution conditions apply; the tool does not provide a database, spreadsheet interface, or managed hosting.

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