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Python bindings and analysis tools for the teslasynth firmware

Project description

teslasynth Python library

Python bindings and offline analysis tools for the Teslasynth MIDI synthesizer firmware.

The library exposes the same synthesis engine used by the ESP32 firmware so you can render MIDI files, visualise pulse signals, and tune safety parameters before connecting any high-voltage hardware.

Licensed under LGPL v3.

Installation

pip install teslasynth

Optional extras:

pip install "teslasynth[plot]"   # Plotly visualisations
pip install "teslasynth[wav]"    # WAV export (requires SciPy)

Quick start

from teslasynth import Teslasynth
from teslasynth import render, wav

synth = Teslasynth()

# Render a MIDI file to WAV
wav.write("song.mid", "song.wav", synth=synth)

# Or get the raw pulse stream
for time_us, on_us, off_us in render.pulse_stream("song.mid", synth=synth):
    print(f"{time_us:10d} µs  on={on_us} µs  off={off_us} µs")

CLI

teslasynth render   <midi> <wav>   [--config FILE] [--sample-rate HZ]
teslasynth plot     <midi>         [--config FILE] [--out FILE.html]
teslasynth signal   <midi>         [--config FILE] [--out FILE.html]
teslasynth config   [--config FILE] [key=value ...]
teslasynth instruments
teslasynth percussions
teslasynth envelope <instrument>   [--out FILE.html]
teslasynth version

Documentation

Full documentation at http://projects.hnaderi.dev/teslasynth/python

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