# whipper-team/whipper

Python CD-DA ripper preferring accuracy over speed

Repository: https://github.com/whipper-team/whipper
Canonical: https://ross.abutalabs.com/products/whipper
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: python, audio, cdda, cd-ripper, digital-audio, unix, linux, whipper, rip, flac, cli, terminal, morituri, cd-da-ripper
Last push: 2026-02-17T22:33:18+00:00

## Health v2 (maintenance only)
Score: 53/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 68, release rhythm 8, longevity 100
- inputs: {"age_days": 4165, "days_push": 197, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1402, forks 117 (observed 2026-08-28T04:04:37.336571+00:00)

## What it is
Whipper is a Python 3 command-line CD-DA ripper forked from morituri that prioritizes ripping accuracy over speed. It detects drive read offsets, performs Test & Copy rips, verifies results, and outputs to formats like FLAC.

## Use cases
- rip audio CDs to FLAC accurately
- digitize a CD collection with verified error-free rips
- detect my CD drive's read offset
- defeat the drive cache when ripping CDs
- check whether a disc is a CD-R
- command-line CD ripping on Linux

## When to choose
- you need accurate, verified CD rips rather than fast ones
- you want a scriptable CLI ripper on Linux
- you want a maintained successor to morituri

## When to avoid
- you need a GUI ripper
- you rip DVDs or Blu-rays rather than audio CDs
- you need Windows or macOS support

## Facets
- artifact type: cli-tool
- maturity: active
- function: audio-processing, cli
- domain: media
- platform: cli, python
- tags: cd-ripper, cdda, flac, accurate-ripping, morituri-fork, digital-audio, test-and-copy, audio, command-line, linux

## Member repositories
- whipper-team/whipper (main) score 53

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:37.336571+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:39:00.483342+00:00, confidence not recorded.
  - readme: https://github.com/whipper-team/whipper (fetched 2026-08-28T04:04:37.336571+00:00, sha 811bc98df3ea)
- Data as of 2026-08-30T08:39:29.467469+00:00.