midiviz 1.1

An interactive MIDI visualization tool for Jupyter Notebooks.

MidiViz: Interactive MIDI Visualization in Jupyter Notebooks

MidiViz is a lightweight Python package designed to easily visualize and interact with MIDI files directly within a Jupyter Notebook or Google Colab environment.

It renders MIDI notes as a dynamic waterfall or a traditional pianoroll, synchronized with audio synthesized from a SoundFont. MidiViz is highly customizable, supporting multi-track color themes, detailed tooltips on hover, beat/measure gridlines, and other professional features.

Demo

Here is a demonstration of the waterfall mode using the CLASSIC theme.

Key Features

• Two Visualization Modes: Supports waterfall and pianoroll modes.
• Multi-Track Coloring: Automatically assigns distinct colors to different tracks in the MIDI file, making complex pieces easy to follow.
• Customizable Themes: Comes with several color themes and supports fully custom user-defined palettes.
• Interactive Player: Includes a full playback controller with play/pause, a draggable seek bar, time display, and volume control.
• Note Info Tooltip: Hover over any note on the canvas to see its detailed information (track name, timing, pitch name, velocity, etc.).
• Beat & Measure Gridlines: Renders beat lines and numbered measure lines on the canvas to help understand the musical structure.

Installation & Usage

1. Install Package You can install MidiViz directly from PyPI:

   pip install midiviz
   

2. Install System Dependencies (FluidSynth) This package uses midi2audio for audio synthesis, which relies on a system-level synthesizer. FluidSynth is strongly recommended.

   • macOS:

     brew install fluidsynth
     

   • Ubuntu / Debian:

     sudo apt-get install fluidsynth
     

   • Windows:
   1. Go to the FluidSynth GitHub Releases page.
   2. Download the latest .zip archive that includes win64 (or win32) in its name.
   3. Extract the archive to a stable location (e.g., C:\dev\fluidsynth).
   4. Crucial Step: Add the path to the bin directory inside the extracted folder (e.g., C:\dev\fluidsynth\bin) to your system's Environment Variables PATH.

Basic Usage

Using MidiViz is straightforward. All you need is a MIDI file and a SoundFont (.sf2) file.

from IPython.display import display
from midiviz import MidiViz, themes

# Define your file paths
MIDI_FILE_PATH = 'path/to/your/midi_file.mid'
SOUNDFONT_PATH = 'path/to/your/soundfont.sf2'

# 1. Create a MidiViz instance
viz = MidiViz(midi_path=MIDI_FILE_PATH, soundfont_path=SOUNDFONT_PATH)

# 2. Display the visualization (defaults to "pianoroll" mode and CLASSIC theme)
display(viz.show())

# 3. Try "waterfall" mode with a different theme
display(viz.show(mode="waterfall", theme=themes.NIGHT))

Customize

You can deeply customize the visualization through the various parameters of the show() method.

• mode (str): Sets the visualization mode. - "pianoroll": (Default) The classic piano roll view. - "waterfall": The falling-note "Synthesia" style view.

  display(viz.show(mode="waterfall"))
  

• theme (dict): Selects a predefined color theme from the themes.py module. - Available themes: CLASSIC, OCEAN, CUTE, HELL, FOREST, NIGHT.

  from midiviz import themes
  display(viz.show(theme=themes.FOREST))
  

• custom_palette (list): Pass your own list of color strings to override the theme's palette. If the number of tracks exceeds the number of colors, random colors will be generated to fill the gap.

  my_colors = ["#e63946", "#f1faee", "#a8dadc", "#457b9d", "#1d3557"]
  display(viz.show(custom_palette=my_colors))
  

• show_grid (bool): Determines whether to display beat and measure gridlines. Defaults to True.

  display(viz.show(show_grid=False))
  

• height (int): Manually sets a fixed height in pixels for the canvas. Defaults to None (auto-sizing).

• padding (int): In pianoroll mode, this sets the number of semitones to pad above the highest and below the lowest note. Defaults to 2.

• config (dict): An advanced dictionary of frontend JavaScript configurations to override defaults. This allows for fine-grained control over the appearance and behavior of the visualizer.

All Adjustable Properties:

Property	Type	Description	Default Value
noteHeight	Number	The height in pixels of each semitone in pianoroll mode.	5
noteWidth	Number	The width in pixels of each white key in waterfall mode.	16
pixelsPerSecond	Number	The scrolling/falling speed. A higher value means faster movement.	100
playheadPosition	Number	The horizontal position (in pixels) of the playhead in pianoroll mode.	80
playheadColor	String	The color of the playhead line.	"black"
gridColor	String	The color of the non-measure beat lines in the background.	"rgba(200, 200, 200, 0.6)"
labelFont	String	The CSS font property for pitch labels (e.g., C4, C5).	"10px sans-serif"
labelColor	String	The color of the pitch labels.	"#333"
labelWidth	Number	The width in pixels of the label area in pianoroll mode.	40
keyboardHeight	Number	The height in pixels of the piano keyboard in waterfall mode.	60
verticalPitchRange	Array	The MIDI pitch range [min_pitch, max_pitch] to display in waterfall mode.	[21, 108] (A0-C8)

Example:

# Create a custom config dictionary
custom_config = {
    "noteWidth": 20,           # Make the keys wider in waterfall mode
    "pixelsPerSecond": 150,    # Increase the falling speed by 50%
    "playheadColor": "#d62728"  # Change the playhead color to red
}

display(viz.show(
    mode="waterfall",
    config=custom_config,
    theme=themes.NIGHT
))

Additional Notes

• Performance: For extremely long MIDI files with a very large number of notes, browser rendering performance may be impacted. The tool is best used with standard-length musical pieces for an optimal experience.
• Contributing: Contributions of any kind are welcome! If you have suggestions for new themes, ideas for features, or have found a bug, please feel free to open an Issue or Pull Request on GitHub.

License

This project is licensed under the MIT License.