TreeView

TreeView

TreeView is a free, open-source software for visualizing hierarchical data as an interactive tree. It allows users to explore and analyze tree-structured data with features like search, zooming, labeling, etc. TreeView is cross-platform and implemented in Python using Tkinter.
data-visualization tree-structure hierarchical-data python tkinter

Tree View: Free & Interactive Hierarchical Data Visualization

Explore and analyze tree-structured data with features like search, zooming, and labeling. Cross-platform and open-source Python implementation using Tkinter.

What is TreeView?

TreeView is an open-source, cross-platform application for visualizing hierarchical data in an interactive tree diagram. Developed in Python using the Tkinter GUI toolkit, TreeView allows users to explore, analyze, and make sense of tree-structured data.

Some of the key features of TreeView include:

  • Interactive tree exploration - Users can pan, zoom, expand, collapse parts of the tree to focus on areas of interest.
  • Search - Quickly search for nodes/subtrees within large trees using keywords or regular expressions.
  • Custom styling - Flexible styling options to customize node icons, colors, sizes, etc.
  • Exporting - Tree diagrams can be exported as vector or raster images.
  • Scripting - TreeView has a built-in Python console for advanced analysis tasks.
  • Cross-platform - As a Python application using Tkinter, TreeView runs on Windows, Mac OS X, and Linux.
  • Free and open source - TreeView is released under the GNU GPL license.

With its intuitive visual interface and helpful features for tree traversal, filtering, labeling, layouts, etc. TreeView makes it easier for users to unlock insights from hierarchical data across domains like biology, management, and more.

TreeView Features

Features

  1. Visualize hierarchical/tree-structured data
  2. Interactive tree view allows expanding/collapsing nodes
  3. Search/filter nodes
  4. Zooming and scrolling
  5. Node labeling
  6. Support for large datasets
  7. Cross-platform (Windows, Mac, Linux)

Pricing

  • Open Source

Pros

Free and open source

Intuitive and easy to use

Fast even with large datasets

Highly customizable

Actively maintained and supported

Cons

Limited built-in statistical analysis

Steep learning curve for advanced customization

Only supports tree data structures


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