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Title | Expyriment |
Description | Expyriment A Python library for cognitive and neuroscientific Expyriment A Python library for cognitive and neuroscientific experiments Navigation About Installation Resources References Contact Sign Up --> ). --& |
Keywords | N/A |
WebSite | expyriment.org |
Host IP | 192.30.252.154 |
Location | United States |
Site | Rank |
US$320,352
Last updated: 2023-05-16 13:29:36
expyriment.org has Semrush global rank of 33,039,703. expyriment.org has an estimated worth of US$ 320,352, based on its estimated Ads revenue. expyriment.org receives approximately 36,964 unique visitors each day. Its web server is located in United States, with IP address 192.30.252.154. According to SiteAdvisor, expyriment.org is safe to visit. |
Purchase/Sale Value | US$320,352 |
Daily Ads Revenue | US$296 |
Monthly Ads Revenue | US$8,872 |
Yearly Ads Revenue | US$106,456 |
Daily Unique Visitors | 2,465 |
Note: All traffic and earnings values are estimates. |
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expyriment.org. | A | 3599 | IP: 192.30.252.154 |
expyriment.org. | A | 3599 | IP: 192.30.252.153 |
expyriment.org. | NS | 3600 | NS Record: ns77.domaincontrol.com. |
expyriment.org. | NS | 3600 | NS Record: ns78.domaincontrol.com. |
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expyriment.org. | TXT | 3600 | TXT Record: keybase-site-verification=mXvUBYIN-2l5J7blDES7Ou7WE__nDiNXzObAgVhwzsE |
Expyriment A Python library for cognitive and neuroscientific experiments Navigation About Installation Resources References Contact Sign Up --> ). --> A Python library for cognitive and neuroscientific experiments Find Out More Expyriment is an open-source Python library for designing and conducting timing-critical behavioural and neuroimaging experiments Our major goal is to provide a lightweight and well-structured Python library for the script-based experiment development . Readability and portability of the resulting programme code are of highest priority. The library is an all-in-one solution as it handles stimulus presentation, the recording of input/output events, communication with other devices, and the collection and preprocessing of data. It further offers a hierarchical design structure, which allows for an intuitive transition from the experimental design to a running programme and is therefore also well suited for students and researchers with little programming |
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