# YannickJadoul/Parselmouth

Praat in Python, the Pythonic way

Repository: https://github.com/YannickJadoul/Parselmouth
Canonical: https://ross.abutalabs.com/products/parselmouth
Homepage: https://parselmouth.readthedocs.io/
Language: C++
License: GPL-3.0
License Family: copyleft
Last push: 2026-08-21T20:13:39+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 27, longevity 100
- inputs: {"age_days": 3375, "days_push": 12, "days_rel": 279, "gap_med": 206.0, "n_releases_24m": 3}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1286, forks 131 (observed 2026-08-28T04:04:14.880086+00:00)

## What it is
Parselmouth is a Python library that exposes Praat's internal C/C++ speech and acoustic analysis code through a complete, Pythonic interface. Because it links directly to Praat's source rather than wrapping its scripting language, analysis results are identical to those produced by Praat itself.

## Use cases
- analyze speech audio with Praat algorithms from Python
- extract pitch contours and formants from wav files
- compute spectrograms and intensity programmatically
- batch-process audio files for phonetic research
- automate Praat analyses without writing Praat scripts
- integrate acoustic measurements into NumPy and matplotlib pipelines

## When to choose
- You need Praat-identical analysis results inside a Python workflow
- You want to script or automate acoustic/phonetic analyses at scale instead of using Praat's GUI or scripting language
- You are building scientific pipelines that combine speech analysis with NumPy, SciPy, or matplotlib

## When to avoid
- You need speech recognition or transcription rather than acoustic analysis
- You only need audio playback, editing, or format conversion that simpler audio libraries cover
- You are not working in Python and just want the standalone Praat application

## Facets
- artifact type: library
- maturity: stable
- function: audio-processing
- domain: speech-processing
- platform: python, cross-platform, windows
- tags: praat, phonetics, speech-analysis, acoustic-analysis, pitch-analysis, formants, spectrogram, python-bindings, jupyter, audio, linux, macos

## Member repositories
- YannickJadoul/Parselmouth (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:14.880086+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 2026-08-30T04:56:08.088301+00:00, confidence not recorded.
  - readme: https://github.com/YannickJadoul/Parselmouth (fetched 2026-08-28T04:04:14.880086+00:00, sha 2d36db3463b9)
- Data as of 2026-08-30T08:39:29.467469+00:00.