miditoolkit

A python package for working with MIDI data.

Version: 0.1.16
Latest update date: 2022/4/18

The usage is similar to pretty_midi, while miditoolkit handles MIDI events in symbolic timing (ticks, instead of seconds). Furthermore, the toolkit can parse MIDI tracks into piano-rolls for computation or visualization purposes.

Main Features

MIDI
- Global
  - ticks per beat
  - tempo changes
  - key signatures
  - time signatures
  - lyrics
  - markers
- Instruments
  - control changes
  - pitch bend
- Editing
  - chunk/cropping
- IO
  - BytesIO
Piano-rolls
- Tools
  - notes to piano-rolls
  - piano-rolls to notes
  - chromagram
- Visualization
External Library
- structure analysis

TODO

better documentation
absolute timing
cropping: Control Changes
cropping: bars
symbolic features
new structural analysis

Installation

current version: 0.1.15
python 2 is not supported
Install the miditoolkit via PYPI:

pip install miditoolkit

Example Usage

import miditoolkit
path_midi = miditoolkit.midi.utils.example_midi_file()
midi_obj = miditoolkit.midi.parser.MidiFile(path_midi)
print(midi_obj)

"""
Output:

ticks per beat: 480
max tick: 72002
tempo changes: 68
time sig: 2
key sig: 0
markers: 71
lyrics: False
instruments: 2

"""

A. Parse and create MIDI files
B. Piano-roll Manipulation

Philosophy

pretty_midi can parse MIDI files and generate pianorolls in absolute timing (seconds).
pypianoroll can parse MIDI files into pianorolls in symbolic timing (through beat resolution).
mido processes MIDI files in the lower level such as messages and ports.

Miditoolkit is designed for handling MIDI in symbolic timing (ticks), which is the native format of MIDI timing. We keep the midi parser as simple as possible, and offer several important functions to complete the versatility. For example, piano-rolls, tick-to-second, chromagram, and etc.

To customize settings and maximum the degree of freedom, users can use additional libraries like visualization, which are excluded in the toolkit.

jech2 / miditoolkit