ethograph
EthoGraph is a graphical user interface for visualizing and segmenting multimodal timeseries behavioural data. It builds upon a number of open-source libraries to load and quickly render video and pose files, audio and spectrograms, ephys recordings in various formats, and arbitrary multi-dimensional timeseries — all on one shared timeline.
Note this GUI is still in development. I welcome people testing it and providing feedback!
Quickstart
First install uv, a fast Python package manager:
# macOS / Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows
winget install astral-sh.uv
Then install the GUI as a standalone tool — one command, no environment to create or activate:
uv tool install --python 3.12 "ethograph[gui,audio]"
To open the GUI, run:
ethograph launch
ethographnot recognized? uv has not added its bin directory to yourPATHyet. Runuv tool update-shell, then open a new terminal.
For installing into a dedicated virtual environment, optional extras, and troubleshooting, see the installation guide.
After launching, there are some example datasets you can explore the GUI with. To learn more about all the functionalities, I recommend the user manual.
Support
EthoGraph is built on top of a number of open-source projects: PyAV, audioio, Neo, crowsetta, Neurodata Without Borders, xarray, pynapple, movement, phy, PyQtGraph, and pygfx (via pynaviz).
1 maintainer
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