GNU General Public License v3.0

项目介绍

expyriment/expyriment 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 GNU General Public License v3.0 许可证,目前获得 139 个 Star、40 次 Fork。

仓库全名
expyriment/expyriment
开源许可证
GNU General Public License v3.0
Star 数
139
Fork 数
40
未关闭 Issue
4

README 摘要

Overview ======== Expyriment is an open-source and platform-independent lightweight Python library for designing and conducting timing-critical behavioral and neuroimaging experiments. The major goal is to provide a well-structured Python library for script-based experiment development, with a high priority being the readability of the resulting program code. Due to the availability of an Android runtime…

完整内容见 GitHub 原始 README 或本页 。

常见问题

expyriment 用什么语言开发?

主要使用 Python 编写,采用 GNU General Public License v3.0 许可证,目前有 139 个 Star。

expyriment 可以免费商用吗?

仓库标注的许可证为 GNU General Public License v3.0,商用前请先阅读仓库 LICENSE 文件确认授权范围。

如何获取 expyriment 的源码?

可以直接克隆仓库:git clone https://github.com/expyriment/expyriment.git,默认分支为 master;安装与运行步骤见仓库 README。

expyriment 最近还在维护吗?

仓库最近一次更新为 1 周前,当前有 4 个未关闭 Issue;Star 数为 139,可作为社区活跃度的参考。

关于

Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

README

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Overview

Expyriment is an open-source and platform-independent lightweight Python library for designing and conducting timing-critical behavioral and neuroimaging experiments. The major goal is to provide a well-structured Python library for script-based experiment development, with a high priority being the readability of the resulting program code. Due to the availability of an Android runtime environment, Expyriment is also suitable for the development of experiments running on tablet PCs or smart-phones.

Expyriment has been tested extensively under Linux and Windows and 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. Furthermore, it offers a hierarchical design structure, which allows for an intuitive transition from the experimental design to a running program. It is therefore also suited for students, as well as for experimental psychologists and neuroscientists with little programming experience.

GNU General Public License v3 (see details) Florian Krause ([email protected]) & Oliver Lindemann ([email protected])

Documentation

Documentation can be found in the directory “documentation”. For online documentation see: https://docs.expyriment.org

Examples

For online examples see: https://github.com/expyriment/expyriment-stash/tree/master/examples

Installation

Expyriment can be installed via pip:

pip install expyriment

The latest stable release of Expyriment can be found at Github: https://github.com/expyriment/expyriment/releases/latest

For detailed installation instructions, please see the online documentation: https://docs.expyriment.org/Installation.html

Reference

Krause, F., & Lindemann, O. (2014). Expyriment: A Python library for cognitive and neuroscientific experiments. Behavior Research Methods, 46(2), 416-428. https://doi.org/10.3758/s13428-013-0390-6

Contributing

Join other contributors and help us out with Expyriment development! We are very happy to receive pull requests on GitHub.

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