PsychoPy
PsychoPy is an open-source package for creating experiments in behavioral science. It aims to provide a single package that is:
- precise enough for psychophysics
- easy enough for teaching
- flexible enough for everything else
- able to run experiments in a local Python script or online in JavaScript
To meet these goals PsychoPy provides a choice of interface - you can use a simple graphical user interface called Builder, or write your experiments in Python code. The entire application and library are written in Python and is platform independent.
There is a range of documentation at:
Contributions
To contribute, please fork the repository, hack in a feature branch, and send a pull request. For more, see CONTRIBUTING.md and the developers documentation at https://www.psychopy.org/developers
Code Status
Dev branch: 
Release branch: 
More information
- Homepage: https://www.psychopy.org
- Forum: https://discourse.psychopy.org
- Issue tracker: https://github.com/psychopy/psychopy/issues
- Changelog: https://www.psychopy.org/changelog.html
Release files for psychopy-lib 2026.2.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| psychopy_lib-2026.2.4.tar.gz | 40.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| psychopy_lib-2026.2.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 83.0 MB
Release files / psychopy_lib-2026.2.4.tar.gz
| Download URL | psychopy_lib-2026.2.4.tar.gz |
|---|---|
| Size | 40.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a086aca5bcf996dfb272843c55c35aedb267f278154a76fa806409a16398a001
|
|
BLAKE2b-256 checksum How to use checksums |
90fb68c339d984cb8ae3c422f9e90d5c3375e9230fd3eb75a77b3499839d6ac0
|
| 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 Sep 14, 2026.
Transparency logRelease files / psychopy_lib-2026.2.4-py3-none-any.whl
| Download URL | psychopy_lib-2026.2.4-py3-none-any.whl |
|---|---|
| Size | 42.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6147364704df129cdb4ca1366cdf6563603cce5f5d1cd2efbb8088cf4ecfce72
|
|
BLAKE2b-256 checksum How to use checksums |
f5f9eba395ee2778c95c664d1d472375fecb757a8e590599da38953401783fdd
|
| 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 Sep 14, 2026.
Transparency log
