WebPlotDigitizer vs ParaView
Side-by-side comparison for macOS
WebPlotDigitizer
6.5Extract numerical data from plot images
ParaView
8.0Data analysis and visualization application
| Metric | WebPlotDigitizer | ParaView |
|---|---|---|
| Category | Science | Developer Tools |
| AI Score | 6.5 | 8.0 |
| 30-day Installs | 9 | 347 |
| 90-day Installs | 13 | 915 |
| 365-day Installs | 51 | 3.0K |
| Version | 4.7 | 6.1.0,MPI-OSX11.0-Python3.12 |
| Auto-updates | No | No |
| Deprecated | Yes | No |
| GitHub Stars | 3.0K | 1.6K |
| GitHub Forks | 421 | 470 |
| Open Issues | 101 | 3 |
| License | AGPL-3.0 | BSD-3-Clause |
| Language | JavaScript | C++ |
| Last GitHub Commit | 2mo ago | 1mo ago |
| First Seen | Aug 9, 2023 | Aug 9, 2023 |
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
ParaView
ParaView is a powerful open-source application for data analysis and visualization, particularly useful for developers and scientists. It offers robust tools for visualizing complex datasets and integrates well with VTK, making it a valuable tool for scientific research and engineering.
ParaView provides tools for analyzing and visualizing complex datasets, supporting a wide range of data formats and visualization techniques.
Pros
- + Open-source with a permissive BSD-3-Clause license, allowing for customization and transparency.
- + Cross-platform support, ensuring compatibility across different operating systems.
- + Integration with VTK, providing advanced visualization capabilities.
Cons
- - Lack of auto-update feature may be inconvenient for some users.
- - Steep learning curve can be challenging for new users.