Plot Digitizer vs LabPlot
Side-by-side comparison for macOS
Plot Digitizer
8.0Digitize scanned plots of functional data
LabPlot
8.0Data visualization and analysis software
| Metric | Plot Digitizer | LabPlot |
|---|---|---|
| Category | Science | Science |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 8 | 71 |
| 90-day Installs | 10 | 207 |
| 365-day Installs | 84 | 634 |
| Version | 2.6.12 | 2.12.1 |
| Auto-updates | No | No |
| Deprecated | Yes | No |
| GitHub Stars | 162 | 445 |
| GitHub Forks | 26 | 58 |
| Open Issues | 11 | - |
| License | GPL-3.0 | — |
| Language | Python | C++ |
| Last GitHub Commit | 1y ago | 1mo ago |
| First Seen | Nov 19, 2015 | Aug 13, 2024 |
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.
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