WebPlotDigitizer vs SciDAVis
Side-by-side comparison for macOS
WebPlotDigitizer
6.5Extract numerical data from plot images
SciDAVis
6.0Application for scientific data analysis and visualization
| Metric | WebPlotDigitizer | SciDAVis |
|---|---|---|
| Category | Science | Science |
| AI Score | 6.5 | 6.0 |
| 30-day Installs | 9 | 15 |
| 90-day Installs | 13 | 31 |
| 365-day Installs | 51 | 136 |
| Version | 4.7 | 2.8 |
| Auto-updates | No | No |
| Deprecated | Yes | No |
| GitHub Stars | 3.0K | 135 |
| GitHub Forks | 421 | 31 |
| Open Issues | 101 | 7 |
| License | AGPL-3.0 | NOASSERTION |
| Language | JavaScript | C++ |
| Last GitHub Commit | 2mo ago | 4mo ago |
| First Seen | Aug 9, 2023 | Jul 13, 2018 |
Reviews
WebPlotDigitizer
WebPlotDigitizer is a tool that uses computer vision to extract numerical data from plot images, making it invaluable for researchers and data analysts who need to digitize data from visual sources.
Extract numerical data from plot images using computer vision.
Pros
- + Open-source and free to use
- + Employs advanced computer vision techniques
- + Cross-platform compatibility
Cons
- - Lacks auto-update functionality
- - Some reported bugs affecting usability
- - Limited recent community traction
SciDAVis
SciDAVis is an open-source application designed for scientific data analysis and visualization, offering powerful tools for plotting, curve fitting, and data manipulation. It is particularly useful for researchers and engineers who need a robust environment for scientific computing.
SciDAVis provides tools for analyzing and visualizing scientific data, including plotting, curve fitting, and statistical analysis.
Pros
- + Open-source and free to use
- + Comprehensive set of tools for scientific data analysis
- + Supports various data formats and integration with Python scripts
- + Cross-platform compatibility
Cons
- - No auto-update feature
- - Low number of recent installations
- - No official security policy documentation