Binary Tree Visualizer
Build, visualize, and explore binary trees with interactive operations and traversal animations.
About This Tool
The Binary Tree Visualizer is a free browser-based tool that lets you build, explore, and understand binary trees through interactive visualization. Whether you are studying data structures for the first time, preparing for coding interviews, or teaching algorithms, this tool provides an intuitive SVG-based canvas where you can see exactly how tree operations work in real time.
The tool supports two modes: Binary Search Tree (BST) mode enforces the BST invariant where every left child is smaller and every right child is larger than its parent, and General binary tree mode inserts nodes level by level using breadth-first filling. In BST mode you can perform insertion, deletion (handling leaf, single-child, and two-child cases with in-order successor), and search with animated path highlighting.
Four classic traversal algorithms are available — In-order, Pre-order, Post-order, and Level-order (BFS) — each with step-by-step node highlighting so you can watch the algorithm visit each node in sequence. The traversal result array is displayed beneath the controls for quick reference. You can also auto-balance an unbalanced BST using AVL rotations with a single click.
All processing runs entirely in your browser. No data is sent to any server — there are no network requests, no analytics on your input, and no accounts required. The visualization is rendered as inline SVG with responsive sizing, making it suitable for desktops, tablets, and phones.
Tree statistics are displayed in real time: height, node count, whether the tree is balanced, and whether the current structure is a valid BST. You can generate random trees for experimentation or enter comma-separated values for bulk insertion.
How to Use
- Choose a mode: BST (Binary Search Tree) or General binary tree using the mode toggle.
- Type a number (or comma-separated list like
5,3,7,1,4) into the input field and click Insert or press Enter. - Click Random to generate a random tree, or Clear to start over.
- In BST mode, use the Delete field to remove a node by value, or the Search field to highlight the search path from root to target.
- Click a traversal button (Inorder, Preorder, Postorder, Level-order) to animate the traversal and see the result array.
- Click Balance (AVL) to auto-balance the BST using AVL rotation logic.
- Review the statistics panel for height, node count, balance status, and BST validity.
- Use Ctrl+Enter as a keyboard shortcut to insert values quickly.
Popular Binary Tree Examples
FAQ
Is my data safe when using this tool?
Yes. All tree operations and rendering happen entirely in your browser using JavaScript and SVG. No data is transmitted to any server, and no input is logged or tracked.
What is the difference between BST mode and General mode?
BST (Binary Search Tree) mode enforces the ordering invariant: left children are always less than the parent, and right children are always greater. This enables efficient search, delete, and balance operations. General mode inserts nodes in level-order (breadth-first), filling left before right, without any ordering constraint.
What traversal algorithms are supported?
Four traversals are supported: In-order (Left, Root, Right), Pre-order (Root, Left, Right), Post-order (Left, Right, Root), and Level-order (BFS, level by level from top to bottom). Each traversal animates node-by-node so you can follow the algorithm visually.
How does the AVL balance feature work?
Clicking the Balance (AVL) button applies AVL tree rotation logic to restructure the BST so that the height difference between left and right subtrees at every node is at most 1. This involves single or double rotations (left, right, left-right, right-left) as needed.
How does BST deletion work?
Deletion handles three cases: (1) deleting a leaf node simply removes it, (2) deleting a node with one child replaces the node with that child, and (3) deleting a node with two children finds the in-order successor (smallest node in the right subtree), copies its value, and recursively deletes the successor.
What do the tree statistics mean?
Height is the longest root-to-leaf path length. Node count is the total number of nodes. Balanced means every node's left and right subtree heights differ by at most 1. Valid BST means the ordering invariant holds for every node in the tree.
Can I use this on mobile devices?
Yes. The SVG canvas is responsive and the controls stack vertically on smaller screens. Touch interactions work for all buttons and inputs.
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