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Design and analyse discrete time DSP filters with a user-friendly GUI tool. Fixpoint filters in time and frequency domain, too.

Project description


Python Filter Design Analysis Tool

pyFDA is a GUI based tool in Python / Qt for analysing and designing discrete time filters. When the migen module ist installed, fixpoint implementations (for some filter types) can be simulated and exported as synthesizable Verilog netlists.

For more info see the Github Repo and the documentation at



  • Python versions: 3.3 ... 3.7
  • All operating systems - there should be no OS specific requirements.
  • Libraries:
    • (Py)Qt5
    • numpy
    • scipy
    • matplotlib: 2.0 or higher

Optional libraries:

  • migen for fixpoint simulation and Verilog export. When missing, the "Fixpoint" tab is hidden.
  • docutils for rich text in documentation
  • xlwt and / or XlsxWriter for exporting filter coefficients as *.xls(x) files

Installing and Starting pyFDA

There is only one version of pyfda for all supported operating systems, Python and Qt versions. As there are no binaries included, you can simply install from the source.


If you use the Anaconda distribution, you can install / update pyfda from my Anaconda channel Chipmuenk using

> conda install -c Chipmuenk pyfda


> conda update  -c Chipmuenk pyfda


Otherwise, you can install from PyPI using

> pip install pyfda

or upgrade using

> pip install pyfda -U

or install locally using

> pip install -e <YOUR_PATH_TO_PYFDA>

where the specified path points to but without including In this case, you need to have a local copy of the pyfda project, preferrably using git.

You could also download the zip file from Github and extract it to a directory of your choice. Install it either to your <python>/Lib/site-packages subdirectory using

> python install

or just create a link to where you have copied the python source files (for testing / development) using

> python develop

Starting pyFDA

In any case, the start script pyfdax has been created in <python>/Scripts which should be in your path. So, simply start pyfda using

> pyfdax

For development and debugging, you can also run pyFDA using

In [1]: %run -m pyfda.pyfdax # IPython or
> python -m pyfda.pyfdax    # plain python interpreter

All individual files from pyFDA can be run using e.g.

In [2]: %run -m pyfda.input_widgets.input_pz    # IPython or 
> python -m pyfda.input_widgets.input_pz       # plain python interpreter


The location of the following two configuration files (copied to user space) can be checked via the tab Files -> About:

  • Logging verbosity can be controlled via the file pyfda_log.conf
  • Widgets and filters can be enabled / disabled via the file pyfda.conf. You can also define one or more user directories containing your own widgets and / or filters.

Layout and some default paths can be customized using the file pyfda/, right now you have to edit that file at its original location.

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