Library for analyzing eye-tracking-while-reading data
Project description
SideEye is still in beta! New features are in development, but if you find any bugs or have suggestions, Open a GitHub issue or email sideeye@amnda.me.
SideEye is a Python package for processing eye tracking data that interfaces with EyeTrack and Experiment Builder.
It is meant to parse eye-tracking-while-reading data and calculate useful experimental measures. Currently, SideEye can only parse the .DA1 file format and some .ASC formats, but other formats will be added later. The goal is to parse all eye-tracking-while-reading data into a common format, and provide a consistent and accurate method for processing the data.
Documentation (currently incomplete, but more detail than provided here) can be found at sideeye.readthedocs.io.
Refer to examples/sample.py for an up-to-date sample script.
Installation
SideEye requires Python >= 3.6.
pip install sideeye
Release history Release notifications | RSS feed
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 sideeye-1.0.0a13.tar.gz.
File metadata
- Download URL: sideeye-1.0.0a13.tar.gz
- Upload date:
- Size: 33.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.6.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c6cebb75c8df280a24ba4da6939d3f8d033a87a21f5e3e3afbe0e1e0730cd493
|
|
| MD5 |
53c0f281395d727476a070b01426f98d
|
|
| BLAKE2b-256 |
66aa1ac8f20c91aa941893813af119661b57df2eac81f3f06107267299aeddae
|
File details
Details for the file sideeye-1.0.0a13-py3-none-any.whl.
File metadata
- Download URL: sideeye-1.0.0a13-py3-none-any.whl
- Upload date:
- Size: 31.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.40.1 CPython/3.6.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
151ccd834353a1742655d08bb02162307ad6d01bdb52cd7e56c174582773d357
|
|
| MD5 |
d4b2ad2c3ce980881d667c34709f562c
|
|
| BLAKE2b-256 |
1566663d309ca8aec0f00225ef8f5f7975dc7822e851c829449727d7a871af90
|
