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jaakkopasanen/AutoEq

Automatic headphone equalization from frequency responses observed · 2026-08-28

github.com/jaakkopasanen/AutoEq · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

47/100

  • Activity 32
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3104
  • days_rel: n/a
  • days_push: 409
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

16145 stars · 2553 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

AutoEq is a Python library and web application for automatically generating parametric equalizer settings from headphone frequency response measurements. It also provides a large collection of headphone measurements, target curves, and pre-computed equalizer presets.

Use cases

  • generate parametric EQ settings for my headphones from a frequency response measurement
  • equalize headphones to a target curve like Harman
  • convert headphone measurements into settings for EqualizerAPO or Wavelet
  • analyze and plot headphone frequency response data in Python
  • optimize a set of parametric EQ filters to match a target response
  • find pre-computed EQ presets for a specific headphone model

When to choose

  • you want to correct your headphone's frequency response with a parametric equalizer
  • you need programmatic tools to process frequency response measurements
  • you want access to a large curated dataset of headphone measurements and targets
  • you want a no-install web app to generate EQ settings

When to avoid

  • you need software that applies real-time equalization itself - AutoEq only generates settings
  • you need speaker or room correction rather than headphone EQ
  • you want a simple one-click audio enhancer without measurement data

Facets

library · maturity active

audio-processing data-science cli developer-tools cross-platform python cross-platform headphone-equalization parametric-eq frequency-response audio-measurements pypi-package audio web-server

2 sources

Member repositories

RepositoryRoleHealth v2
jaakkopasanen/AutoEqmain47

For agents

markdown · JSON · MCP: product_card(name="jaakkopasanen/AutoEq")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem