TreeViewer vs Orange
Side-by-side comparison for macOS
TreeViewer
7.0Phylogenetic tree viewer
Orange
7.5Component-based data mining software
| Metric | TreeViewer | Orange |
|---|---|---|
| Category | Science | Science |
| AI Score | 7.0 | 7.5 |
| 30-day Installs | 6 | 34 |
| 90-day Installs | 23 | 94 |
| 365-day Installs | 89 | 395 |
| Version | 2.2.0 | 3.40.0 |
| Auto-updates | No | No |
| Deprecated | No | No |
| GitHub Stars | 235 | 5.6K |
| GitHub Forks | 11 | 1.1K |
| Open Issues | 27 | 105 |
| License | AGPL-3.0 | NOASSERTION |
| Language | C# | Python |
| Last GitHub Commit | 7mo ago | 1mo ago |
| First Seen | Jul 22, 2024 | Nov 8, 2013 |
Reviews
TreeViewer
TreeViewer is a phylogenetic tree viewer that allows users to visualize and interactively edit tree structures. It supports various visualization options and file formats, making it a valuable tool for researchers and biologists in the field of phylogenetics.
Visualizes and edits phylogenetic trees, supporting multiple file formats and interactive manipulation.
Pros
- + Cross-platform support for macOS, Windows, and Linux
- + Interactive editing and visualization features
- + Open-source under AGPL-3.0, allowing modifications
Cons
- - No auto-update feature, requiring manual checks
- - Low installation numbers and community engagement
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