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PsychoPy vs Spyder
Side-by-side comparison for macOS
PsychoPy
8.0Create experiments in behavioral science
Spyder
8.0Scientific Python IDE
| Metric | PsychoPy | Spyder |
|---|---|---|
| Category | Science | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 55 | 89 |
| 90-day Installs | 173 | 288 |
| 365-day Installs | 1.0K | 1.7K |
| Version | 2026.1.3 | 6.1.4 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 2.0K | 9.2K |
| GitHub Forks | 968 | 1.8K |
| Open Issues | 220 | 1.3K |
| License | GPL-3.0 | MIT |
| Language | Python | Python |
| Last GitHub Commit | 2mo ago | 1mo ago |
| First Seen | Aug 9, 2023 | Nov 4, 2013 |
Reviews
PsychoPy
PsychoPy is a powerful tool for creating and running experiments in behavioral science, offering a Python-based framework with a user-friendly GUI. It enables researchers and educators to design custom psychological and neuroscience studies efficiently.
Creates and runs experiments in psychology and neuroscience.
Pros
- + Open-source under GPL-3.0 license
- + Python-based for flexibility and customization
- + User-friendly GUI for accessible experiment design
Cons
- - No auto-update feature
- - Some users report issues with packaging and stereo display modes
Spyder
Spyder is a powerful scientific Python IDE designed for data analysis and visualization. It integrates seamlessly with tools like matplotlib, IPython, and numpy, making it ideal for researchers and data scientists.
Spyder provides a comprehensive integrated development environment for scientific computing in Python.
Pros
- + Fully featured scientific IDE with robust Python integration
- + Open-source and actively maintained
- + Cross-platform compatibility
Cons
- - Steep learning curve for new users
- - Potential performance issues on older systems