music21 and Flamory

Flamory provides the following integration abilities:

Create and use window snapshots for music21
Take and edit music21 screenshots
Automatically copy selected text from music21 and save it to Flamory history

To automate your day-to-day music21 tasks, use the Nekton automation platform. Describe your workflow in plain language, and get it automated using AI.

Screenshot editing

Flamory helps you capture and store screenshots from music21 by pressing a single hotkey. It will be saved to a history, so you can continue doing your tasks without interruptions. Later, you can edit the screenshot: crop, resize, add labels and highlights. After that, you can paste the screenshot into any other document or e-mail message.

Here is how music21 snapshot can look like. Get Flamory and try this on your computer.

music21 - Flamory bookmarks and screenshots

Application info

Music21 is a Python-based toolkit for computer-aided musicology.

Applications of this toolkit include computational musicology, music informations, musical example extraction and generation, music notation editing and scripting, and a wide variety of approaches to composition, both algorithmic and directly specified.

Although computers have transformed how we listen to, obtain, compose, and notate music, they have not fundamentally changed how we research and analyze music. Though many computer databases have been created for musicology, they are not well adapted for sophisticated music queries. For instance, melodies can be found if exact matches exist.

The music21 project at M.I.T. will give to the music community the set of tools it needs to conduct sophisticated musical and statistical analysis using modern programming techniques. The software framework, written in Python, manipulates music as a collection of symbolic data, such as pitch names and note durations, that can then be classified as higher level musical structures according to the style, region, or period being studied.

Music21 focuses specifically on the manipulation of symbolic music data: it leaves to the many preexisting open-source and proprietary software packages the notation and audio playback of scores (the two areas where computer-aided music research is most developed). By focusing on the points of greatest need to musicology, the framework will give rapid results within a short timeframe.

Integration level may vary depending on the application version and other factors. Make sure that user are using recent version of music21. Please contact us if you have different integration experience.