Plot Digitizer vs ParaView
Side-by-side comparison for macOS
Plot Digitizer
8.0Digitize scanned plots of functional data
ParaView
8.0Data analysis and visualization application
| Metric | Plot Digitizer | ParaView |
|---|---|---|
| Category | Science | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | - | 474 |
| 90-day Installs | 4 | 1.0K |
| 365-day Installs | 54 | 3.6K |
| Version | 2.6.12 | 6.2.0,MPI-OSX11.0-Python3.12 |
| Auto-updates | No | No |
| Deprecated | No | No |
| GitHub Stars | 162 | 1.6K |
| GitHub Forks | 26 | 470 |
| Open Issues | 11 | 3 |
| License | GPL-3.0 | BSD-3-Clause |
| Language | Python | C++ |
| Last GitHub Commit | 2y ago | 7mo ago |
| First Seen | Nov 19, 2015 | Aug 9, 2023 |
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.
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.