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
To install the GUI, run the following. For more detailed instructions, see the installation guide.
uv pip install "ethograph[gui,audio]" --python 3.12
To open the GUI, run:
ethograph launch
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
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ethograph-0.2.9.tar.gz.
File metadata
- Download URL: ethograph-0.2.9.tar.gz
- Upload date:
- Size: 43.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3593076c96788a2decca2309e224529e5c4832f3efcb71b41cf3878e56632f44
|
|
| MD5 |
f2c65889df08a18637ba23dee0c8dea7
|
|
| BLAKE2b-256 |
5363611a42ab448fc85a5a741a4ea9676e99a3501a7dcdb58c382915210d43fc
|
File details
Details for the file ethograph-0.2.9-py3-none-any.whl.
File metadata
- Download URL: ethograph-0.2.9-py3-none-any.whl
- Upload date:
- Size: 36.3 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8548f95526ae4b426fd4f169b8eb882bff047cd15b5544e195f81024dec4d37f
|
|
| MD5 |
d903d608a17092b74c8d73db0a459f0d
|
|
| BLAKE2b-256 |
a4dd07b0818bd03bd81242aa085aac01d17d4e7ed58c22bd23534a8cca17c241
|
