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ethograph

EthoGraph demo Labelling in 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!

📖 Documentation

🎥 Watch the demo

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

ethograph not recognized? uv has not added its bin directory to your PATH yet. Run uv tool update-shell, then open a new terminal.

Linux / WSL: the wheels need a few system libraries (OpenGL, Qt's xcb plugin, Vulkan). Run ethograph check to see which are missing and the apt/dnf line that installs them, see linux troubleshooting.

For installing into a dedicated virtual environment and optional extras, see 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

Open-source projects EthoGraph depends on

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).

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