Skip to main content

Scanpath Studio

See how people read.

A free, open-source app for exploring eye movements in reading. Check data quality, compare readers, and create figures and scanpath videos — no coding required.

Try it online · Download the app · Browse the gallery

Scanpath Studio: exploring trials, replaying a reading, comparing readers and analyzing a corpus

PyPI License: MIT DOI

From your data to a figure

  • Bring your own data. Load fixation and interest-area tables, with optional raw gaze and metadata. Data guide →
  • Explore and replay. View fixations, saccades and heatmaps; filter trials, then star or tag the ones to revisit.
  • Compare readings. Overlay two scanpaths or place them side by side, across readers, conditions or datasets.
  • Analyze a corpus. Explore the reading measures in your data by text, reader or group.
  • Export and share. Save publication-ready figures, GIF/MP4 replays or a batch of trials, and share a view with a link.

Follow a tutorial · See it in action

Run it on your computer

Download the desktop app — no Python needed:

Windows · macOS (Apple silicon) · Linux

Local installs keep your data on your machine. To try the app first, open the online demo with its bundled data.

Prefer pip? Install with Python 3.11–3.14
pip install scanpath-studio
scanpath-studio

Setup and update instructions

Python & command line

Build a figure in the app, then copy its Python or CLI code from Share. The feature guides include scripting examples alongside the app instructions.

Python API · CLI reference

Research & community

Using Scanpath Studio in your research? Cite the software (Shubi et al., 2026). The bundled demo is a subset of OneStop Eye Movements.

Report a bug or request a feature · Contribute · Code of conduct

Developed with AI assistance. As with any research software, cross-check results before using them in published work.

Metadata

Release files for scanpath-studio 0.38.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for scanpath-studio 0.38.4
File Size Uploaded
scanpath_studio-0.38.4.tar.gz 3.2 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for scanpath-studio 0.38.4
File Interpreter ABI Platform
scanpath_studio-0.38.4-py3-none-any.whl Python 3 none any Details

Total release size: 6.4 MB

Release files / scanpath_studio-0.38.4.tar.gz

Download URL scanpath_studio-0.38.4.tar.gz
Size 3.2 MB
Tags Source
SHA-256 checksum
How to use checksums
da2e71e4312dd6ca53b0db0764cf00491b7535b1e43c1e740ddcaadeb6948e61
BLAKE2b-256 checksum
How to use checksums
de86a6c60ffe27a2861318a5bb64318dc244263fe90878e80db96508c7f183dc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 16, 2026.

Transparency log

Release files / scanpath_studio-0.38.4-py3-none-any.whl

Download URL scanpath_studio-0.38.4-py3-none-any.whl
Size 3.2 MB
Tags Python 3
SHA-256 checksum
How to use checksums
61be336dae7714f4218eb00228d45fc47d5d7161158b3d54fab1a1ecdf3be54a
BLAKE2b-256 checksum
How to use checksums
b66f442df98668440ed49c054ed3097a68cfc7e87c770cde7ed8afd80f705388
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 16, 2026.

Transparency log

Release history Release notifications | RSS feed

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page