Gephi vs Orange
Side-by-side comparison for macOS
Gephi
7.0Open-source platform for visualizing and manipulating large graphs
Orange
7.5Component-based data mining software
| Metric | Gephi | Orange |
|---|---|---|
| Category | Science | Science |
| AI Score | 7.0 | 7.5 |
| 30-day Installs | 110 | 34 |
| 90-day Installs | 275 | 94 |
| 365-day Installs | 896 | 395 |
| Version | 0.10.1 | 3.40.0 |
| Auto-updates | No | No |
| Deprecated | No | No |
| GitHub Stars | 6.4K | 5.6K |
| GitHub Forks | 1.6K | 1.1K |
| Open Issues | 517 | 105 |
| License | GPL-3.0 | NOASSERTION |
| Language | Java | Python |
| Last GitHub Commit | 1mo ago | 1mo ago |
| First Seen | Nov 12, 2012 | Nov 8, 2013 |
Reviews
Gephi
Gephi is a unique open-source platform for visualizing and manipulating large graphs, offering extensive features for network analysis. It benefits researchers, data analysts, and anyone working with complex network data.
Visualizes and manipulates large graphs for network analysis.
Pros
- + Open-source and free to use.
- + Extensive features for graph analysis and visualization.
- + Cross-platform support.
Cons
- - Compatibility issues on MacOS.
- - Requires Java 8 or higher.
Orange
Orange is a component-based data mining software designed for interactive data analysis. It offers a user-friendly interface with a wide range of data visualization and machine learning tools, making it ideal for both beginners and experienced data analysts.
Orange allows users to create and modify data analysis workflows using visual components for data preprocessing, visualization, machine learning, and more.
Pros
- + Intuitive and interactive user interface for data analysis
- + Extensive library of built-in algorithms and visualization tools
- + Support for customization through Python scripting
Cons
- - No auto-updates feature
- - Moderate number of open issues on GitHub