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Plot Digitizer vs Spyder
Side-by-side comparison for macOS
Plot Digitizer
8.0Digitize scanned plots of functional data
Spyder
8.0Scientific Python IDE
| Metric | Plot Digitizer | Spyder |
|---|---|---|
| Category | Science | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 8 | 89 |
| 90-day Installs | 10 | 288 |
| 365-day Installs | 84 | 1.7K |
| Version | 2.6.12 | 6.1.4 |
| Auto-updates | No | Yes |
| Deprecated | Yes | No |
| GitHub Stars | 162 | 9.2K |
| GitHub Forks | 26 | 1.8K |
| Open Issues | 11 | 1.3K |
| License | GPL-3.0 | MIT |
| Language | Python | Python |
| Last GitHub Commit | 1y ago | 1mo ago |
| First Seen | Nov 19, 2015 | Nov 4, 2013 |
Reviews
Plot Digitizer
Plot Digitizer is a unique tool for extracting functional data from scanned plots. It allows users to import images, set axes, and export data points, making it invaluable for researchers and engineers needing to analyze graphical data.
Converts scanned plots into digital data points for analysis.
Pros
- + Open-source under GPL-3.0, promoting transparency and customization.
- + Cross-platform support for macOS, Windows, and Linux.
- + Supports multiple export formats for data flexibility.
Cons
- - No auto-update feature, requiring manual checks for updates.
- - User interface may be less intuitive for some users.
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