Installation§
First of all, you’ll need Python. Any version where CFFI is supported should work. If you don’t have Python installed yet, you should get one of the distributions which already include CFFI and NumPy (and many other useful things), e.g. Anaconda or WinPython.
If you are using the conda
package manager (e.g. with Anaconda or Miniconda for
Linux/macOS/Windows), you can install the sounddevice
module from the
conda-forge
channel:
conda install -c conda-forge python-sounddevice
Note
The PortAudio package on conda-forge
doesn’t have ASIO support,
see https://github.com/conda-forge/portaudio-feedstock/issues/9.
There are also packages for several other package managers:
If you are using Windows, you can alternatively install one of the packages provided at https://www.lfd.uci.edu/~gohlke/pythonlibs/#sounddevice. The PortAudio library (with ASIO support) is included in the package and you can get the rest of the dependencies on the same page.
Note that some of the aforementioned packages may be out-of-date.
You can always get the newest sounddevice
release from PyPI
(using pip
).
If you want to try the latest development version, have a look at the section
about Contributing.
To install the latest release from PyPI, use:
python3 -m pip install sounddevice
Depending on your Python installation,
you may have to use python
instead of python3
.
If you have installed the module already, you can use the --upgrade
flag to
get the newest release.
To un-install, use:
python3 -m pip uninstall sounddevice
If you install the sounddevice
module with pip
on macOS or Windows,
the PortAudio library (with ASIO support on Windows) will be installed
automagically.
On other platforms, you might have to install PortAudio with your package
manager (the package might be called libportaudio2
or similar).
You might also have to install CFFI (from a package called python3-cffi
or
similar).
NumPy is only needed if you want to play back and record NumPy arrays.
The classes sounddevice.RawStream
, sounddevice.RawInputStream
and
sounddevice.RawOutputStream
use plain Python buffer objects and don’t need
NumPy at all.
If you need NumPy, you should install it with your package manager (from a
package named python3-numpy
or similar) or use a Python distribution that
already includes NumPy (see above).
You can also install NumPy with pip
, but depending on your platform, this
might require a compiler and several additional libraries.