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PsyNet is a powerful new Python package for designing and running the next generation of online behavioural experiments. It builds on the virtual lab framework Dallinger to streamline the development of highly complex experiment paradigms, ranging from simulated cultural evolution to perceptual prior estimation to adaptive psychophysical experiments. Once an experiment is implemented, it can be deployed with a single terminal command, which looks after server provisioning, participant recruitment, data-quality monitoring, and participant payment. Researchers using PsyNet can enjoy a paradigm shift in productivity, running many high-powered variants of the same experiment in the time it would ordinarily take to run an experiment once.

PsyNet is primarily developed by Peter Harrison, Frank Höger, Pol van Rijn, and Nori Jacoby, but we are grateful for many further contributions by other users.

On Windows, use WSL (Ubuntu) and follow the Linux workflow there. Native Windows is not supported.

For more information about PsyNet, visit the documentation website.

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Release files for psynet 14.0.0rc2

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Source distribution for psynet 14.0.0rc2
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Table of built distributions (wheels) for psynet 14.0.0rc2
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psynet-14.0.0rc2-py3-none-any.whl Python 3 none any Details

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14.0.0rc2 This release

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13.2.0

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