Linked List Visualizer

Paste values, render a singly linked list, then visualize node insertion, deletion, search, and traversal from head to null.

Nodes
5
Head
12
Tail
26
Duplicates
0

List input

Values become linked-list nodes from left to right. Duplicates are preserved.

Node operations

Traversal

Linked list diagram

Sample linked list loaded. Insert, delete, search, or traverse nodes.

Path Match
Linked list diagramCurrent linked list values are 12, 7, 19, 4, 26.null12nexthead, i=07nexti=119nexti=24nexti=326nexti=4, tail

Traversal result

Run traversal to visit each node from the head pointer to null.

Current list values

12 -> 7 -> 19 -> 4 -> 26 -> null

Linked list search starts at the head and follows each next pointer until it finds the value or reaches null.

What is a Linked List Visualizer?

A linked list visualizer shows each node in a list and the pointer from one node to the next. It is useful for understanding why linked lists behave differently from arrays during insertion, deletion, search, and traversal.

This tool visualizes a singly linked list. Each node stores a value and a next pointer. The final node points to null.

For the full cluster of related tools, browse the Data Structure Visualizers hub.

How to use this linked list visualizer

  • Paste values such as [12, 7, 19, 4, 26].
  • Click Build list to render nodes and pointers.
  • Insert at the head, tail, or a specific index.
  • Delete by index or delete the first matching value.
  • Search for a value or run traversal to highlight the visit order.

Unlike a binary search tree or heap, a linked list does not arrange values by priority or ordering rules. The order is exactly the order of the nodes.

Linked list vs array

Arrays give direct index access. A linked list must follow pointers from the head node until it reaches the target node.

Linked lists can be efficient for insertion or deletion once you already have a node reference, but searching by value still requires traversal.

If you want to compare linked lists with tree structures, try the Binary Search Tree Visualizer. If you are studying LIFO and FIFO behavior, compare this with the Stack and Queue Visualizer. For direct key lookup, use the Hash Table Visualizer. To see linked-list recency order with hash-map lookup, use the LRU Cache Visualizer.

Frequently Asked Questions

What input format does this linked list visualizer use?
Paste whole numbers as an array, comma-separated list, or space-separated list. The first 24 values are used so the diagram stays readable.
Can a linked list contain duplicate values?
Yes. This tool preserves duplicate values because a linked list stores node sequence, not a unique set.
What does null mean at the end of the list?
The final node's next pointer is null, which means there is no next node.
Does this visualize a singly or doubly linked list?
This page visualizes a singly linked list. Each node points only to the next node.

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