Skip to main content

Music Theory for Humans

Project description

PyTheory: music theory for humans

Explore music theory, compose multi-part arrangements, and hear them instantly — all in Python.

PyPI version Python versions License

▶ Try it in your browser — a live demo of what PyTheory can do, nothing to install.
Documentation · PyPI · Changelog · Claude Skill


$ pip install pytheory
$ pytheory demo        # hear a generated track right now

Sketch Ideas Fast

from pytheory import Score, Chord, Duration
from pytheory.play import play_score

score = Score("4/4", bpm=140)
score.drums("bossa nova", repeats=4)

chords = score.part("chords", synth="fm", envelope="pad", reverb=0.4)
lead = score.part("lead", synth="saw", envelope="pluck", delay=0.3, lowpass=3000)
bass = score.part("bass", synth="sine", lowpass=500)

for sym in ["Am", "Dm", "E7", "Am"]:
    chords.add(Chord.from_symbol(sym), Duration.WHOLE)
    chords.add(Chord.from_symbol(sym), Duration.WHOLE)

lead.arpeggio("Am", bars=2, pattern="updown", octaves=2)
lead.arpeggio("Dm", bars=2, pattern="updown", octaves=2)
lead.set(lowpass=5000, reverb=0.4)
lead.arpeggio("E7", bars=2, pattern="up", octaves=2)
lead.arpeggio("Am", bars=2, pattern="updown", octaves=2)

for n in ["A2", "E2", "A2", "C3"] * 4:
    bass.add(n, Duration.QUARTER)

play_score(score)              # hear it now
score.save_midi("sketch.mid")  # open in your DAW

Music Theory

>>> from pytheory import Key, Chord, Tone

>>> Key("C", "major").chords
['C major', 'D minor', 'E minor', 'F major', 'G major', 'A minor', 'B diminished']

>>> [c.symbol for c in Key("G", "major").progression("I", "V", "vi", "IV")]
['G', 'D', 'Em', 'C']

>>> Chord.from_symbol("F#m7b5").identify()
'F# half-diminished 7th'

>>> Tone.from_string("C4").interval_to(Tone.from_string("G4"))
'perfect 5th'

>>> Key("C", "major").pivot_chords(Key("G", "major"))
['A minor', 'B minor', 'C major', 'D major', 'E minor', 'G major']

>>> from pytheory.scales import Scale
>>> Scale.recommend("C", "Eb", "F", "Gb", "G", "Bb", top=3)
[('C', 'blues', 1.0), ...]

Guitar

Chord fingerings, tabs, and scale diagrams for guitar and 24 other stringed instruments:

>>> from pytheory import Fretboard

>>> print(Fretboard.guitar().tab("Am"))
A minor
e|--0--
B|--1--
G|--2--
D|--2--
A|--0--
E|--x--

>>> Fretboard.guitar().chord("G")
Fingering(E=3, A=2, D=0, G=0, B=0, e=3)

Melodies and basslines render to ASCII tablature with part.to_tab(), and chord charts work in Nashville numbers too.

Composition

Song structure with sections, repeats, and parameter automation:

score = Score("4/4", bpm=124)
score.drums("house", repeats=16, fill="house", fill_every=8)

pad = score.part("pad", synth="supersaw", envelope="pad",
                 reverb=0.5, chorus=0.3, sidechain=0.85)
lead = score.part("lead", synth="saw", envelope="pluck",
                  legato=True, glide=0.03, humanize=0.3)
bass = score.part("bass", synth="sine", lowpass=300, sidechain=0.7)

score.section("verse")
# ... add notes ...
score.section("chorus")
lead.set(lowpass=5000, reverb=0.3)
# ... add notes ...
score.end_section()

score.repeat("verse")
score.repeat("chorus", times=2)

Batteries Included

  • 56 synth waveforms — the 10 classics (sine, saw, triangle, square, pulse, FM, noise, supersaw, PWM) plus 46 modeled instruments: Rhodes, Wurlitzer, pipe organ, vibraphone, choir, sitar, theremin, and more.
  • 100 drum patterns — rock, jazz, bebop, bossa nova, salsa, samba, afrobeat, funk, reggae, house, trap, metal, drum and bass, and 87 more. 37 fill presets, 74 synthesized percussion sounds, stereo panned like a real kit.
  • 6 effects with automation — distortion, chorus, lowpass, delay, reverb, and LFO modulation on any parameter. Sidechain compression, master bus compressor/limiter, stereo output.
  • Convolution reverb — 7 impulse responses: Taj Mahal (12s), cathedral, plate, spring, cave, parking garage, canyon.
  • 6 musical systems — Western, Indian (Hindustani), Arabic (Maqam), Japanese, Blues/Pentatonic, Javanese Gamelan. 40+ scales.
  • 83 instrument presets — guitar (8 tunings), bass, ukulele, mandolin family, violin family, banjo, harp, oud, sitar, erhu, and more.
lead = score.part("lead", synth="saw",
                  distortion=0.7, lowpass=1000, lowpass_q=5.0,
                  delay=0.3, reverb=0.4, reverb_type="plate")

lead.set(lowpass=4000, distortion=0.9)                  # automate mid-song
lead.lfo("lowpass", rate=0.5, min=400, max=3000, bars=8)  # LFO modulation

Command Line

$ pytheory repl                            # interactive scratchpad
$ pytheory demo                            # hear a generated track
$ pytheory key G major                     # explore a key
$ pytheory identify Cmaj7                  # analyze a chord symbol
$ pytheory progression C major I V vi IV   # build a progression
$ pytheory midi C major I V vi IV -o out.mid
$ pytheory play Am7 --synth saw --envelope pluck
$ pytheory modes C                         # show all modes
$ pytheory circle C                        # circle of fifths
$ pytheory tune --instrument guitar        # strobe tuner, string-locked
$ pytheory studio                          # browser: recording → sheet music
$ pytheory live --link                     # MIDI synth rig, Ableton Link sync

Live MIDI input and Ableton Link sync are optional extras:

$ pip install "pytheory[live]"   # MIDI input (python-rtmidi)
$ pip install "pytheory[link]"   # Ableton Link sync

Why Python?

A DAW is great for tweaking sounds. But when you're thinking about music — code is faster than clicking. Sketch ideas, hear them instantly, export MIDI, finish in your DAW.

Tools like Claude Code can use PyTheory to prototype musical ideas from natural language — "write a bossa nova in A minor with a saw lead and reverb" becomes real, playable music.

Talk to it with Claude

PyTheory ships an official Claude Code plugin — six skills that let Claude compose, analyze, and notate music for you. In Claude Code:

/plugin marketplace add kennethreitz/pytheory-skill
/plugin install composing-with-pytheory@pytheory

Then just ask — "write me a bossa nova in G minor", "what's the fingering for F#m7b5?", "turn this hum into a lead sheet". See the guide. For a real album made entirely in PyTheory, hear Interpretations.

Learn More

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pytheory-0.57.10.tar.gz (366.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pytheory-0.57.10-py3-none-any.whl (297.1 kB view details)

Uploaded Python 3

File details

Details for the file pytheory-0.57.10.tar.gz.

File metadata

  • Download URL: pytheory-0.57.10.tar.gz
  • Upload date:
  • Size: 366.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for pytheory-0.57.10.tar.gz
Algorithm Hash digest
SHA256 b49d1bd2ca6a03096e4a87c2cc52a5622d251ddba74424ce1643d7ce4eacc09b
MD5 48a05c2533e9347373e2b0c3c0633f81
BLAKE2b-256 6f982d861b955fe328c95729f74a2394e09d6b865789cf3f7663adfb4bf9fdaf

See more details on using hashes here.

File details

Details for the file pytheory-0.57.10-py3-none-any.whl.

File metadata

  • Download URL: pytheory-0.57.10-py3-none-any.whl
  • Upload date:
  • Size: 297.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for pytheory-0.57.10-py3-none-any.whl
Algorithm Hash digest
SHA256 bec9527f85f82c57f300253bcba7925edf723f56c90c2733bee2882264ce980a
MD5 c8a6b60785d4dd37c37c54d8688b0864
BLAKE2b-256 22193021efabc7383ff9f011e100d7f471cf2fc0cee450edd56bb7cb47537f8f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page