# Maialib - Music Analysis Library {#mainpage}
This library is a multiplatform set of musical tools that enable musical score analisys and composition in a easy and fast way. <br>
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`.
## Advantages
- Easy to use to musicians and musical researchers
- High computer perfomance and fast calculations
- Read and write musical scores (MusicXML file format)
## Get Python Package
```python
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`
## Get Started
You can easily import your sheet music (`*.xml` file) to Python environment using:
```python
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!
## Frequent Asked Questions
### 1) Where can I find the XML file of a specific musical score?
To import musical scores the file extensions must be: `*.xml`, `*.mxl` or `*.musicxml` <br>
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.
### 2) What can I do if I don't have a `*.xml` file of my target music?
- 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 type manually note-by-note the music paper into a musical software (link MuseScore, Sibelius, Finale, etc.)
## Documentation (in development)
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)
### Level 1: Python Tutorial
You can explore `maialib` features looking at `python-tutorial` folder ([link here](https://github.com/nyckmaia/maialib/tree/main/python-tutorial)). <br>
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:
- [Create Notes and Chords](https://github.com/nyckmaia/maialib/blob/main/python-tutorial/create_notes_chords.ipynb)
- [Create a Score](https://github.com/nyckmaia/maialib/blob/main/python-tutorial/create_score.ipynb)
- [Using Dataframes](https://github.com/nyckmaia/maialib/blob/main/python-tutorial/dataframe.ipynb)
### Level 2: Developer Documentation
[Maialib Documentation WebSite](https://maialib.com/)
## VS Code Users
- You can write your Python scripts using `*.py` or `*.ipynb` file extensions.
- If you decide to use `*.ipynb` extension, make shure to install `nbformat` Python package to enable visualize maialib graphs on VS Code editor.
To do that: `pip install nbformat --upgrade`
---
# Would you like to improve any maialib function?
## Are you a C++ developer?
### Requirements to build from C++ sources:
- 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)
## Are you a Python developer?
### Python Dev-only dependencies
```
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
```
## Tested Environments
| 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) |
## Quick Start
### Build Python module from C++ source
Open a terminal (or CMD in Windows), enter inside of the `maialib` folder. <br>
Type: `make` to build the Python module <br>
When the build process finishes, type: `make install` <br>
Done!
## Known issues to build from source
### All Platforms
- 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. <br>
To check all Python versions installed on your system, open the `Terminal` (or `CMD` on Windows) and type: - Linux or Mac: - `which python` - `which python3` - Windows: - `where.exe python` - `where.exe python3`
### Windows-Only
- Disable your antivirus or create a exception (CMake permissions)
## Contact
Nycholas Maia - nyckmaia@gmail.com
## Contributing
- Fork this project
- Make your custumizations and improvments
- Please, send me a pull request
## License
Maialib is licensed under [GPLv3 License](https://www.gnu.org/licenses/gpl-3.0.html)
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"description": "# Maialib - Music Analysis Library {#mainpage}\n\n\n\nThis library is a multiplatform set of musical tools that enable musical score analisys and composition in a easy and fast way. <br>\nThe 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`.\n\n## Advantages\n\n- Easy to use to musicians and musical researchers\n- High computer perfomance and fast calculations\n- Read and write musical scores (MusicXML file format)\n\n## Get Python Package\n\n```python\npip install maialib\n```\n\nOr, if you have a older `maialib` version installed on your system, please get the latest version running: `pip install maialib --upgrade`\n\n## Get Started\n\nYou can easily import your sheet music (`*.xml` file) to Python environment using:\n\n```python\nimport maialib as ml\n\nmyScore = ml.Score('./Beethoven/Symphony_9th.xml')\n```\n\nNow you can explore some `maialib` features like:\n\n- Find musical patterns\n- Write your own scores from your custom algorithms\n- Analyse scores in a musical statistical data perspective\n- And much more!\n\n## Frequent Asked Questions\n\n### 1) Where can I find the XML file of a specific musical score?\n\nTo import musical scores the file extensions must be: `*.xml`, `*.mxl` or `*.musicxml` <br>\nYou can easily export your music files to these file formats above from score editors, like:\n\n- MuseScore (free!)\n- Sibelius\n- Finale\n- Others\n\nMany `MusicXML` files are avaliable for free in the internet for download.\n\n### 2) What can I do if I don't have a `*.xml` file of my target music?\n\n- First, make shure and look at different websites and online repositories trying to find the `*.xml` file\n- 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\n- You can use scan the sheet music paper and get a PDF version of it, so:\n - You can use a OMR software to try to convert the PDF file into a `*.xml` file\n - You can pay for other people to type manually note-by-note the PDF into a musical software (link MuseScore, Sibelius, Finale, etc.)\n- You can type manually note-by-note the music paper into a musical software (link MuseScore, Sibelius, Finale, etc.)\n\n## Documentation (in development)\n\nThis project have 2 documentation levels. One for each user type:\n\n- **Level 1 - User documentation:** for musicians, musical researchers and non-professional IT people (help me to do that!)\n- **Level 2 - Developer documentation:** A deeper information for professional C++ programmers (Doxygen)\n\n### Level 1: Python Tutorial\n\nYou can explore `maialib` features looking at `python-tutorial` folder ([link here](https://github.com/nyckmaia/maialib/tree/main/python-tutorial)). <br>\nThere you will learn how to use and mix `maialib` classes and functions to reach your musical goals\nIf you are starting, please check these 3 basic `maialib` Python tutorials:\n\n- [Create Notes and Chords](https://github.com/nyckmaia/maialib/blob/main/python-tutorial/create_notes_chords.ipynb)\n- [Create a Score](https://github.com/nyckmaia/maialib/blob/main/python-tutorial/create_score.ipynb)\n- [Using Dataframes](https://github.com/nyckmaia/maialib/blob/main/python-tutorial/dataframe.ipynb)\n\n### Level 2: Developer Documentation\n\n[Maialib Documentation WebSite](https://maialib.com/)\n\n## VS Code Users\n\n- You can write your Python scripts using `*.py` or `*.ipynb` file extensions.\n- If you decide to use `*.ipynb` extension, make shure to install `nbformat` Python package to enable visualize maialib graphs on VS Code editor.\n To do that: `pip install nbformat --upgrade`\n\n---\n\n# Would you like to improve any maialib function?\n\n## Are you a C++ developer?\n\n### Requirements to build from C++ sources:\n\n- C++17 compatible compiler\n- CMake 3.26\n- Python 3.8\n- Make\n- Doxygen (Optional: To build documentation)\n- Buildcache (Optional: To accelerate the build process)\n- CppCheck (Optional: C++ Static Analyzer)\n\n## Are you a Python developer?\n\n### Python Dev-only dependencies\n\n```\npip install pathlib\npip install cpplint\npip install wheel\npip install mypy\n\n# To generate Python stubs\npip install pybind11-stubgen\n# Mac users: May be you have to add the coverage and pybind11-stubgen on your `PATH` - /etc/paths\n\npybind11_mkdoc (github)\nsudo apt install clang (pybind11_mkdoc dependency) - Linux/Mac Only\n```\n\n## Tested Environments\n\n| Operational System | Compilers |\n| ------------------ | ------------------------------- |\n| Windows 10 x64 | Clang 18.0 |\n| Linux Ubuntu 20.04 | GCC 9.3 |\n| Apple OSX 10.15 | XCode 11.5 (Command Line Tools) |\n\n## Quick Start\n\n### Build Python module from C++ source\n\nOpen a terminal (or CMD in Windows), enter inside of the `maialib` folder. <br>\nType: `make` to build the Python module <br>\nWhen the build process finishes, type: `make install` <br>\nDone!\n\n## Known issues to build from source\n\n### All Platforms\n\n- 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. <br>\n To check all Python versions installed on your system, open the `Terminal` (or `CMD` on Windows) and type: - Linux or Mac: - `which python` - `which python3` - Windows: - `where.exe python` - `where.exe python3`\n\n### Windows-Only\n\n- Disable your antivirus or create a exception (CMake permissions)\n\n## Contact\n\nNycholas Maia - nyckmaia@gmail.com\n\n## Contributing\n\n- Fork this project\n- Make your custumizations and improvments\n- Please, send me a pull request\n\n## License\n\nMaialib is licensed under [GPLv3 License](https://www.gnu.org/licenses/gpl-3.0.html)\n",
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