PsychoPy vs LabPlot
Side-by-side comparison for macOS
PsychoPy
8.0Create experiments in behavioral science
LabPlot
8.0Data visualization and analysis software
| Metric | PsychoPy | LabPlot |
|---|---|---|
| Category | Science | Science |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 55 | 71 |
| 90-day Installs | 173 | 207 |
| 365-day Installs | 1.0K | 634 |
| Version | 2026.1.3 | 2.12.1 |
| Auto-updates | No | No |
| Deprecated | No | No |
| GitHub Stars | 2.0K | 445 |
| GitHub Forks | 968 | 58 |
| Open Issues | 220 | - |
| License | GPL-3.0 | — |
| Language | Python | C++ |
| Last GitHub Commit | 2mo ago | 1mo ago |
| First Seen | Aug 9, 2023 | Aug 13, 2024 |
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
LabPlot
LabPlot is a versatile, open-source data visualization and analysis tool designed for everyone from students to professionals. It offers robust features for plotting and data manipulation, making it a valuable tool for scientific and engineering work.
LabPlot provides tools for data visualization, analysis, and manipulation, supporting a wide range of plotting options and data processing tasks.
Pros
- + Free and open-source, accessible to all users
- + Cross-platform support across multiple operating systems
- + Active development with recent updates and contributions
Cons
- - No auto-update feature for convenience
- - License information is unclear, which may concern users