Skip to main content

A Python package for eye-tracking data processing

Project description

etformat - Eye-Tracking Data Processing

etformat is a Python package designed to simplify the extraction, conversion, and analysis of eye-tracking data from EDF files. It provides tools for exporting data, analyzing fixations and saccades, validating calibration, and visualizing gaze movements. Whether you're conducting research in psychology, neuroscience, or usability testing, etformat makes handling eye-tracking data efficient and accessible.

Important Note before using etformat

Before using the package it is neccessary to follow this steps: (©️ Eylink Compnay & Alexander (Sasha) Pastukhov)

Install SR Research EyeLink Developers Kit This package relies on edfapi library that is as part of the EyeLink Developers Kit, which can be downloaded from www.sr-research.com/support website. Note that you need to register and wait for your account to be activated. Next, follow instructions to install EyeLink Developers Kit for your platform. The forum thread should be under SR Support Forum › Downloads › EyeLink Developers Kit / API › Download: EyeLink Developers Kit / API Downloads (Windows, macOS, Linux).

Please note that this package will not work without Eyelink Developers Kit!

Specify location of the edfapi library The package looks for edfapi either in the global environment (i.e., the folder is added to the PATH) or in a typical path for the OS. The typical locations are:

  • For Windows: c:/Program Files (x86)/SR Research/EyeLink/libs/x64
  • For Mac OSX: /Library/Frameworks
  • For Linux: edpapi library is install in /usr/lib, so is in the global path. If you installed EyeLink Developers Kit using defaults, the typical paths should work. However, you may have used a different folder for installation (relevant primarily for Windows) or it is possible that SR Research changed the defaults. In this case, you can specify path to the library as a parameter or set EDFAPI_LIB environment variable.

For detailed usage instructions and API reference, visit the full documentation here:
📖 etformat Documentation

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

etformat-1.1.1.tar.gz (3.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

etformat-1.1.1-py3-none-any.whl (25.4 kB view details)

Uploaded Python 3

File details

Details for the file etformat-1.1.1.tar.gz.

File metadata

  • Download URL: etformat-1.1.1.tar.gz
  • Upload date:
  • Size: 3.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.11

File hashes

Hashes for etformat-1.1.1.tar.gz
Algorithm Hash digest
SHA256 023c00993e7686c1291f564b36e003a4f5ad2286b1c1044798334011d441de9c
MD5 34b1f5bf64ea88d7955cdaf896ae5dac
BLAKE2b-256 891bde1b6926cdd056709e534297d35fe006e5f2d2d33191dbd619c1c702e64b

See more details on using hashes here.

File details

Details for the file etformat-1.1.1-py3-none-any.whl.

File metadata

  • Download URL: etformat-1.1.1-py3-none-any.whl
  • Upload date:
  • Size: 25.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.11

File hashes

Hashes for etformat-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 afe6b6278796c7d2b94949b9b5dcdba49ff72690caa1a816b7154069400a23f0
MD5 bdd92735aec1b74db8ef1b5019794949
BLAKE2b-256 b8d2468c6b069aa88ed2c2dbfea516f962b04d6f0f7ddd43914832c81c27406e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page