# GuitarML/NeuralPi

Raspberry Pi guitar pedal using neural networks to emulate real amps and effects.

Repository: https://github.com/GuitarML/NeuralPi
Canonical: https://ross.abutalabs.com/products/neuralpi
Homepage: https://guitarml.com/
Language: C++
License: GPL-3.0
License Family: copyleft
Last push: 2024-01-18T15:55:22+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1929, "days_push": 958, "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 1211, forks 63 (observed 2026-08-28T04:04:00.166272+00:00)

## What it is
NeuralPi is a DIY Raspberry Pi 4-based guitar pedal that uses neural networks to emulate real amplifiers and distortion/overdrive pedals in real time. The software is a JUCE-built VST3 plugin that runs on Elk Audio OS on the Pi and can also be used as a standalone Win/Mac plugin with remote WiFi control.

## Use cases
- build a DIY neural network guitar pedal on a Raspberry Pi
- emulate real amps and overdrive pedals with machine learning
- run neural amp models as a VST3 plugin on Windows or Mac
- control amp models remotely over WiFi from a computer
- load custom trained amp/pedal tone models
- create a low-cost (~$120) hardware amp simulator

## When to choose
- you want a DIY hardware neural amp emulator on Raspberry Pi 4 with Elk Audio OS
- you want to try GuitarML neural amp/pedal models as a desktop plugin before building hardware
- you need real-time guitar amp modeling with model selection, EQ, and gain controls

## When to avoid
- you need instrument-level output directly into a guitar amp (HiFiBerry output is line level)
- you want a turnkey commercial amp simulator rather than a DIY build
- you need a plugin format other than VST3/AU or a platform without builds

## Facets
- artifact type: application
- maturity: active
- function: audio-processing, machine-learning, plugin-system, gui
- domain: machine-learning, hardware, media
- platform: embedded, windows, cross-platform
- tags: guitar-pedal, raspberry-pi, neural-amp-modeling, juce, vst3, elk-audio-os, amp-emulation, real-time-audio, diy-hardware, audio, linux, macos

## Member repositories
- GuitarML/NeuralPi (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:00.166272+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 2026-08-30T06:18:02.194996+00:00, confidence not recorded.
  - readme: https://github.com/GuitarML/NeuralPi (fetched 2026-08-28T04:04:00.166272+00:00, sha d0396e710388)
  - homepage: https://guitarml.com/ (fetched 2026-08-29T12:25:51.636936+00:00, sha 1417801838a8)
- Data as of 2026-08-30T08:39:29.467469+00:00.