PsychoPy Monkeys
This plugin adds Components to PsychoPy which immitate participant input while in piloting mode.
Monkeys?
A monkey is a bit of code which simulates a human input, so pressing the keyboard, clicking the mouse, etc. without there being an actual human in front of the screen. Think of it like a monkey you'd trained to push random buttons.
But... why?
Sometimes an experiment needs to be long and tedious when the participant is doing it, but that doesn't mean you need to sit through it every time too! Adding monkeys to your experiment means that you don't have to sit there mindlessly pushing buttons to check that your experiment runs as you expect. Instead, set up a monkey to do that for you, then you can sit back and relax while your experiment runs through! Monkeys only run when you're in pilot mode, in run mode they don't do anything, so when you run your experiment properly with a participant it'll go through as normal.
Metadata
Release files for psychopy-monkeys 0.0.5
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_monkeys-0.0.5.tar.gz | 272.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| psychopy_monkeys-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 560.4 kB
Release files / psychopy_monkeys-0.0.5.tar.gz
| Download URL | psychopy_monkeys-0.0.5.tar.gz |
|---|---|
| Size | 272.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
428337c93f7e5e32753b57ee039352bcda63c5b2f71a6d75864400bb8da648d6
|
|
BLAKE2b-256 checksum How to use checksums |
638366a78eaf7e7824b800e8d542d31ab9ce778c9e1496cb99263c9fc4fd4adf
|
| 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 Aug 20, 2026.
Transparency logRelease files / psychopy_monkeys-0.0.5-py3-none-any.whl
| Download URL | psychopy_monkeys-0.0.5-py3-none-any.whl |
|---|---|
| Size | 287.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
985bb37ff05bba063590be312efd9f649e14f00b1f2b56723215187b6f4cc2a6
|
|
BLAKE2b-256 checksum How to use checksums |
5e7a7cf483fe9da3ac00c0656383ba86da095e06f30db3d9cf9e67a2a3a3e7a7
|
| 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 Aug 20, 2026.
Transparency log