This library is a multiplatform set of musical tools that enable musical score analisys and composition in a easy and fast way.
The project core was wrote in C++17
, but it also has a Python
wrapper that allows a greater number of people (ie musicians not trained in IT) to also have in their hands the same power and musical tools available in maialib
.
- Easy to use to musicians and musical researchers
- High computer perfomance and fast calculations
- Read and write musical scores (MusicXML file format)
pip install maialib
Or, if you have a older maialib
version installed on your system, please get the latest version running: pip install maialib --upgrade
You can easily import your sheet music (*.xml
file) to Python environment using:
import maialib as ml
myScore = ml.Score('./Beethoven/Symphony_9th.xml')
Now you can explore some maialib
features like:
- Find musical patterns
- Write your own scores from your custom algorithms
- Analyse scores in a musical statistical data perspective
- And much more!
To import musical scores the file extensions must be: *.xml
, *.mxl
or *.musicxml
You can easily export your music files to these file formats above from score editors, like:
- MuseScore (free!)
- Sibelius
- Finale
- Others
Many MusicXML
files are avaliable for free in the internet for download.
- First, make shure and look at different websites and online repositories trying to find the
*.xml
file - You can find on the internet the desired MIDI file and import it in a score editor (like MuseScore, Sibelius, Finale, etc.) and then export the
MusicXML
file from it - You can use scan the sheet music paper and get a PDF version of it, so:
- You can use a OMR software to try to convert the PDF file into a
*.xml
file - You can pay for other people to type manually note-by-note the PDF into a musical software (link MuseScore, Sibelius, Finale, etc.)
- You can use a OMR software to try to convert the PDF file into a
- You can type manually note-by-note the music paper into a musical software (link MuseScore, Sibelius, Finale, etc.)
This project have 2 documentation levels. One for each user type:
- Level 1 - User documentation: for musicians, musical researchers and non-professional IT people (help me to do that!)
- Level 2 - Developer documentation: A deeper information for professional C++ programmers (Doxygen)
You can explore maialib
features looking at python-tutorial
folder (link here).
There you will learn how to use and mix maialib
classes and functions to reach your musical goals
If you are starting, please check these 3 basic maialib
Python tutorials:
- You can write your Python scripts using
*.py
or*.ipynb
file extensions. - If you decide to use
*.ipynb
extension, make shure to installnbformat
Python package to enable visualize maialib graphs on VS Code editor. To do that:pip install nbformat --upgrade
- C++17 compatible compiler
- CMake 3.26
- Python 3.8
- Make
- Doxygen (Optional: To build documentation)
- Buildcache (Optional: To accelerate the build process)
- CppCheck (Optional: C++ Static Analyzer)
pip install pathlib
pip install cpplint
pip install wheel
pip install mypy
# To generate Python stubs
pip install pybind11-stubgen
# Mac users: May be you have to add the coverage and pybind11-stubgen on your `PATH` - /etc/paths
pybind11_mkdoc (github)
sudo apt install clang (pybind11_mkdoc dependency) - Linux/Mac Only
Operational System | Compilers |
---|---|
Windows 10 x64 | Clang 18.0 |
Linux Ubuntu 20.04 | GCC 9.3 |
Apple OSX 10.15 | XCode 11.5 (Command Line Tools) |
Open a terminal (or CMD in Windows), enter inside of the maialib
folder.
Type: make
to build the Python module
When the build process finishes, type: make install
Done!
- Multiple Python versions installed, like:
Official Python
,Microsoft Python
,MSYS2 Python
and others can direct the build system to choose a wrong version to build and install the library.
To check all Python versions installed on your system, open theTerminal
(orCMD
on Windows) and type: - Linux or Mac: -which python
-which python3
- Windows: -where.exe python
-where.exe python3
- Disable your antivirus or create a exception (CMake permissions)
Nycholas Maia - nyckmaia@gmail.com
- Fork this project
- Make your custumizations and improvments
- Please, send me a pull request
Maialib is licensed under GPLv3 License