Compatibility

PyMoDAQ Femto 5.2.0 is compatible with PyMoDAQ 5.2. It only relies on three PyMoDAQ sub-packages, pinned to the versions it has been tested with (see Dependencies below): the full pymodaq package is not needed to use PyMoDAQ Femto on its own.

PyMoDAQ Femto 5.1.0 is compatible with PyMoDAQ 5.1 only: it does not work with PyMoDAQ 5.2 or later.

Versions of PyMoDAQ Femto compatible with PyMoDAQ 3 or 4 are archived in the other branches of this repository (legacy_v3 and v4).

Installation

PyMoDAQ Femto requires Python 3.10 or later (tested with Python 3.14). We advise to install it in a dedicated conda environment:

conda create -n pymodaq_femto python=3.14
conda activate pymodaq_femto
pip install pymodaq_femto

For development, clone the repository and install it in editable mode:

git clone https://github.com/PyMoDAQ/pymodaq_femto.git
cd pymodaq_femto
pip install -e .

Launching PyMoDAQ Femto

Once installed, start either application from your activated environment:

retriever
simulator

or equivalently python -m pymodaq_femto.retriever and python -m pymodaq_femto.simulator.

Usage with data external to PyMoDAQ

In the /utils/ folder, you will find an example script showing how any data (here saved as numpy arrays) can be easily converted into a properly formatted .h5 file, and used in PyMoDAQ Femto.

License

Published under the MIT license (see the LICENSE file).

GitHub repo: https://github.com/PyMoDAQ/pymodaq_femto