# libpd/libpd

Pure Data embeddable audio synthesis library

Repository: https://github.com/libpd/libpd
Canonical: https://ross.abutalabs.com/products/libpd
Language: Objective-C
License: NOASSERTION
License Family: other
Last push: 2026-06-21T12:46:42+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 88, release rhythm 35, longevity 100
- inputs: {"age_days": 5407, "days_push": 73, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1244, forks 289 (observed 2026-08-28T04:04:06.911021+00:00)

## What it is
libpd embeds Miller Puckette's Pure Data real-time audio synthesis engine as a portable C library for use in applications. It provides language bindings for C++, C#, Java, Objective-C, and Python, with companion builds for iOS and Android.

## Use cases
- embed pure data patches in a mobile app
- add audio synthesis to a game engine
- run pd patches inside a desktop application
- build an interactive music app for android or ios
- generate sound procedurally in c++ or python
- use pure data as an embedded dsp engine

## When to choose
- you want Pure Data's patch-based synthesis inside your own app
- you need cross-platform real-time audio with mobile support
- you want to reuse existing Pd patches programmatically

## When to avoid
- you need a standalone visual patch editor rather than an embeddable library
- you want a high-level music framework rather than a low-level C API
- you need a permissively licensed dependency and cannot accept libpd's custom license terms

## Facets
- artifact type: library
- maturity: stable
- function: audio-processing, sdk
- domain: media, developer-tools, cross-platform
- platform: cross-platform, cpp, python, jvm
- tags: pure-data, audio-synthesis, embeddable, sound-design, music, real-time-audio, audio, android, ios, desktop

## Member repositories
- libpd/libpd (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:06.911021+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 2026-08-30T05:08:15.546134+00:00, confidence not recorded.
  - readme: https://github.com/libpd/libpd (fetched 2026-08-28T04:04:06.911021+00:00, sha a012f0849dc6)
- Data as of 2026-08-30T08:39:29.467469+00:00.