MGT-python

PyPi version Python GitHub license CI Documentation

The Musical Gestures Toolbox for Python (musicalgestures) is a collection of tools for visualising and analysing motion in video recordings, together with the sound that accompanies them. It was developed for research on music-related body motion, but it works on any video or audio file.

MGT python

Installation

pip install musicalgestures

You also need FFmpeg on your system; everything else installs automatically. The installation guide covers optional extras such as pose estimation.

Quickstart

import musicalgestures as mg

v = mg.MgVideo(mg.examples.dance)   # or your own file: mg.MgVideo('dance.mp4')
v.motiongrams().show()

This draws motiongrams: images that trace where in the frame movement happens over time, like a spectrogram for the body. Analysis methods return result objects, and .show() displays them.

You can also try the toolbox in the browser, with no installation:

Open In Colab

Documentation

  • Documentation site — installation, quickstart, user guide, and full API reference
  • Wiki — worked examples and discussion of the methods
  • Contributing — how to report issues and submit changes

Credits

This toolbox builds on the Musical Gestures Toolbox for Matlab, which again builds on the Musical Gestures Toolbox for Max. Many researchers and research assistants have helped its development over the years, including Balint Laczko, Joachim Poutaraud, Frida Furmyr, Marcus Widmer, and Alexander Refsum Jensenius.

The software is maintained by the fourMs lab at RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo.

If you use this toolbox in your research, please cite:

License

This toolbox is released under the GNU General Public License 3.0.

Project links

Data verified by PyPI on Aug 12, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.18.0)

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for fisheggg from gravatar.com fisheggg Avatar for fourMs from gravatar.com fourMs

Credits

Author: University of Oslo fourMs Lab

GitHub Statistics

Data verified by PyPI on Aug 12, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

GNU General Public License v3 (GPLv3) (GPL-3.0-or-later)

Requires

Python >=3.10

Provides Extra

pose c3d ml cli dev soundscape full

Tags

computer vision motion analysis musical gestures video analysis

Classifiers

Report project as malware

Download files

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

Source Distribution

musicalgestures-1.10.0.tar.gz (32.6 MB view details)

Uploaded Source

Built Distribution

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

musicalgestures-1.10.0-py3-none-any.whl (32.6 MB view details)

Uploaded Python 3

File details

Details for the file musicalgestures-1.10.0.tar.gz.

File metadata

  • Download URL: musicalgestures-1.10.0.tar.gz
  • Upload date:
  • Size: 32.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for musicalgestures-1.10.0.tar.gz
Algorithm Hash digest
SHA256 856264c55ed73949f87edff7c066e3e816c7943aaf900bc6b7cd88c4a5fce03c
MD5 586f8c8677371e5c26679326aeeda10a
BLAKE2b-256 4c18335e41cf889e33d8921b933dda0a4100c714ebc73c7b6c0c5b508d6fb296

See more details on using hashes here.

Provenance

The following attestation bundles were made for musicalgestures-1.10.0.tar.gz:

Publisher: pypi-publish.yml on fourMs/MGT-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file musicalgestures-1.10.0-py3-none-any.whl.

File metadata

File hashes

Hashes for musicalgestures-1.10.0-py3-none-any.whl
Algorithm Hash digest
SHA256 dc2a759e5903bcaf05525cbce0c964af20d57a94ee33234dd7f365b4a002584c
MD5 b81540959858865fd477574ef4ffe133
BLAKE2b-256 92eb335753cf9107f3e7dadaec3e1c9d4ad44a2f71889195bcd836f90b31f7b3

See more details on using hashes here.

Provenance

The following attestation bundles were made for musicalgestures-1.10.0-py3-none-any.whl:

Publisher: pypi-publish.yml on fourMs/MGT-python

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

1.18.0

2 files

1.17.0

2 files

1.16.0

2 files

1.15.0

2 files

1.14.2

2 files

1.14.1

2 files

1.14.0

2 files

1.13.0

2 files

1.12.1

2 files

1.12.0

2 files

1.11.4

2 files

1.11.3

2 files

1.11.2

2 files

1.11.1

2 files

1.11.0

2 files

This release

1.10.0 This release

2 files

1.9.2

2 files

1.9.1

2 files

1.9.0

2 files

1.8.0

2 files

1.7.1

2 files

1.7.0

2 files

1.6.9

2 files

1.6.8

2 files

1.6.7

2 files

1.6.6

2 files

1.6.5

2 files

1.6.4

2 files

1.6.3

2 files

1.6.2

2 files

1.6.1

2 files

1.6.0

2 files

1.5.0

2 files

1.4.9

2 files

1.4.8

2 files

1.4.7

2 files

1.4.6

2 files

1.4.5

2 files

1.4.4

2 files

1.4.3

2 files

1.4.2

2 files

1.4.0

2 files

1.3.3

2 files

1.3.2

2 files

1.3.0

2 files

1.2.9

2 files

1.2.8

2 files

1.2.7

2 files

1.2.6

2 files

1.2.5

2 files

1.2.4

2 files

1.2.3

2 files

1.2.2

2 files

1.2.1

2 files

1.2.0

2 files

1.1.9

2 files

1.1.7

2 files

1.1.6

2 files

1.1.5

2 files

1.1.4

2 files

1.1.3

2 files

1.1.1

2 files

1.1.0

2 files

1.0.999

2 files

1.0.6

2 files

Supported by

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