sf2_loader | use soundfonts loader , player and audio renderer
kandi X-RAY | sf2_loader Summary
kandi X-RAY | sf2_loader Summary
sf2_loader is a Python library. sf2_loader has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. However sf2_loader has 4 bugs. You can install using 'pip install sf2_loader' or download it from GitHub, PyPI.
This sf2 loader is heavily combined with musicpy, which is one of my most popular project, focusing on music programming and music analysis and composition. If you have already learned how to use musicpy to build notes, chords and pieces, you can straightly pass them to the sf2 loader and let it play what you write. Besides of playing music with the loaded soundfonts files, I also write an audio renderer in the sf2 loader, which could render the audio from the loaded soundfont files with the input musicpy data structures and output as audio files, you can choose the output format, such as wav, mp3, ogg, and output file names, sample width, frame rate, channels and so on. In fact, this project borns with my attempt at making muscipy's sampler module being able to load soundfont files to play and export audio files. If you are not familiar with musicpy data structures and is not willing to learn it in recent times, you can also straightly using midi files as input to the sf2 loader, and export the rendered audio files using the loaded soundfont files. However, I still recommend you to learn about musicpy, even not to consider music programming and analysis, it could also be very useful for midi files editing and reconstructing. This sf2 loader is compatible with both 32-bit and 64-bit python versions, for python >= 3.6, so be sure your installed python version match the requirements for this package to use. This package is currently being tested on Windows, Linux and macOS. For Windows version, this package is tested on Windows 10. Update: (2021/12/3) After many updates, currently the latest version is all compatible with Windows, Linux and macOS, so no compatible version is needed anymore, on Linux and macOS you just need to pip install sf2 loader the same as in Windows, and then you need to install fluidsynth and ffmpeg separately on Linux and macOS, the installation instruction is updated. Update: (2021/9/5) The macOS compatible version is ready, the installation and configuration of Linux compatible version is at the installation section of this readme. This macOS compatible version of sf2_loader is tested on Catalina 10.15.5. Update: (2021/9/5) The Linux compatible version is ready, the installation and configuration of Linux compatible version is at the installation section of this readme. This Linux compatible version of sf2_loader is tested on Ubuntu 18.04.5.
This sf2 loader is heavily combined with musicpy, which is one of my most popular project, focusing on music programming and music analysis and composition. If you have already learned how to use musicpy to build notes, chords and pieces, you can straightly pass them to the sf2 loader and let it play what you write. Besides of playing music with the loaded soundfonts files, I also write an audio renderer in the sf2 loader, which could render the audio from the loaded soundfont files with the input musicpy data structures and output as audio files, you can choose the output format, such as wav, mp3, ogg, and output file names, sample width, frame rate, channels and so on. In fact, this project borns with my attempt at making muscipy's sampler module being able to load soundfont files to play and export audio files. If you are not familiar with musicpy data structures and is not willing to learn it in recent times, you can also straightly using midi files as input to the sf2 loader, and export the rendered audio files using the loaded soundfont files. However, I still recommend you to learn about musicpy, even not to consider music programming and analysis, it could also be very useful for midi files editing and reconstructing. This sf2 loader is compatible with both 32-bit and 64-bit python versions, for python >= 3.6, so be sure your installed python version match the requirements for this package to use. This package is currently being tested on Windows, Linux and macOS. For Windows version, this package is tested on Windows 10. Update: (2021/12/3) After many updates, currently the latest version is all compatible with Windows, Linux and macOS, so no compatible version is needed anymore, on Linux and macOS you just need to pip install sf2 loader the same as in Windows, and then you need to install fluidsynth and ffmpeg separately on Linux and macOS, the installation instruction is updated. Update: (2021/9/5) The macOS compatible version is ready, the installation and configuration of Linux compatible version is at the installation section of this readme. This macOS compatible version of sf2_loader is tested on Catalina 10.15.5. Update: (2021/9/5) The Linux compatible version is ready, the installation and configuration of Linux compatible version is at the installation section of this readme. This Linux compatible version of sf2_loader is tested on Ubuntu 18.04.5.
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Quality
Security
License
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Support
sf2_loader has a low active ecosystem.
It has 19 star(s) with 4 fork(s). There are 1 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 13 have been closed. On average issues are closed in 6 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of sf2_loader is 1.22
Quality
sf2_loader has 4 bugs (4 blocker, 0 critical, 0 major, 0 minor) and 67 code smells.
Security
sf2_loader has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
sf2_loader code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
sf2_loader is licensed under the LGPL-2.1 License. This license is Weak Copyleft.
Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.
Reuse
sf2_loader releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
It has 4027 lines of code, 332 functions and 8 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of sf2_loader
sf2_loader Key Features
No Key Features are available at this moment for sf2_loader.
sf2_loader Examples and Code Snippets
loader.play_note(note_name,
duration=2,
decay=1,
volume=100,
channel=0,
start_time=0,
sample_width=2,
channels=2,
loader.export_sound_modules(channel=None,
sfid=None,
bank=None,
preset=None,
start='A0',
stop='C8',
loader.change(channel=None,
sfid=None,
bank=None,
preset=None,
correct=True,
hide_warnings=True,
mode=0)
# If you only need to change one or some of the attributes,
#
Community Discussions
No Community Discussions are available at this moment for sf2_loader.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sf2_loader
You can install using 'pip install sf2_loader' or download it from GitHub, PyPI.
You can use sf2_loader like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use sf2_loader like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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