| Name | psynet JSON |
| Version |
11.8.0
JSON |
| download |
| home_page | None |
| Summary | PsyNet – complex psychological experiments made easy |
| upload_time | 2024-11-05 18:01:35 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | MIT License Copyright (c) 2022 Peter Harrison, Frank Höger, Nori Jacoby, and other PsyNet developers Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
experiments
networks
online
psychology
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
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](https://dallinger.readthedocs.io/)
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.
To try some real-world PsyNet experiments for yourself, visit the following repositories:
- [Consonance profiles for carillon bells](https://github.com/pmcharrison/2022-consonance-carillon)
- [Emotional connotations of musical scales](https://github.com/pmcharrison/2022-musical-scales)
- [Vocal pitch matching in musical chords](https://github.com/pmcharrison/2022-vertical-processing-test)
For more information about PsyNet, visit the [documentation website](https://psynetdev.gitlab.io/PsyNet/).
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