Skip to main content

A python package for working with MIDI data files.

Project description

Miditoolkit

A Python package for working with MIDI files.

PyPI version fury.io Python 3.7 GitHub CI GitHub license Downloads Code style

Miditoolkit works by loading/writing MIDIs with mido in a user-friendly way. It is inspired from pretty_midi, with similar usage and core features, but handles the MIDI events in native ticks time unit instead of seconds. It also comes with a few optimizations and speed-ups, and can parse MIDI tracks into piano-rolls for computation or visualization purposes. If you are working with seconds time units (for e.g. music transcription), you'll be likely better with pretty_midi. Otherwise, if you are working solely on MIDI and symbolic music, miditoolkit should provide slightly faster performances.

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

TODO

  • better documentation;
  • finish the code cleaning of the pianoroll methods (vis);
  • a way to switch the time in seconds across the whole MidiFile object;
  • cropping Control Changes and bars;
  • symbolic features
  • new structural analysis

Installation

You can install miditoolkit via PYPI:

pip install miditoolkit

... or directly from git if you want to get the latest features or fixes (only recommended if you need it):

pip install git+https://github.com/YatingMusic/miditoolkit

Example Usage

from miditoolkit import MidiFile
from miditoolkit.midi.utils import example_midi_file

path_midi = example_midi_file()
midi_obj = 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

  • mido processes MIDI files in the lower level such as messages and ports, and is the backend pretty_midi and miditoolkit;
  • pretty_midi parses MIDI files and pianorolls in seconds time unit, plus has audio related features;
  • pypianoroll parses MIDI files into pianorolls in ticks time unit.

Miditoolkit is designed for handling MIDI in ticks, the native time unit of the MIDI protocol. 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, etc.

Project details


Download files

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

Source Distribution

miditoolkit-1.0.1.tar.gz (22.4 kB view details)

Uploaded Source

Built Distribution

miditoolkit-1.0.1-py3-none-any.whl (24.5 kB view details)

Uploaded Python 3

File details

Details for the file miditoolkit-1.0.1.tar.gz.

File metadata

  • Download URL: miditoolkit-1.0.1.tar.gz
  • Upload date:
  • Size: 22.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for miditoolkit-1.0.1.tar.gz
Algorithm Hash digest
SHA256 88f7ba5bcf6438bd303a0654f808a6eef6f573bcb6b9f5ebd649e78fc786b2c5
MD5 4afbcaa6c637afdfa500d41aaaa8f332
BLAKE2b-256 ed8567eb411c91e5b3ff1c04c2396c1ca4464acad533905b7998283844739242

See more details on using hashes here.

File details

Details for the file miditoolkit-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: miditoolkit-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 24.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for miditoolkit-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b2067e896e99b2f33934678202853664324eb2ad51999bbfc909d85c8e665e2d
MD5 54b43730d19e3890c151c12bfaad6923
BLAKE2b-256 173ad2c741e404efe31700e971b5b93c96eb5a8e9a5100dc69cb7fef39f83d80

See more details on using hashes here.

Supported by

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