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Linked List Visualizer — Insert, Search, Delete

Interactive singly linked list — insert head/tail, search, delete with animated pointer traversal and step controls. Runs in your browser.

Free No signup Client-side Privacy friendly Updated

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Pseudocode

Run an operation to see its steps.

How to use

  1. 1 Type a number and press Insert head or Insert tail to add a node.
  2. 2 Press Search to walk the list to a value, or Delete to unlink one.
  3. 3 Use Random to insert a random value, or Clear to empty the list.
  4. 4 Step back and forward, following the pointers from head to ∅ (null).

Why use this tool

  • See nodes linked by next pointers, ending at ∅ (null).
  • Watch traversal walk from the head one node at a time — O(n) access.
  • Compare O(1) head insertion with O(n) tail insertion and search.
  • Runs entirely in your browser. No signup, no uploads.

Frequently asked questions

What is a linked list?

A linked list is a linear structure where each node holds a value and a pointer (next) to the following node. The last node points to null (∅).

What is the time complexity of linked-list operations?

Inserting or removing at the head is O(1); searching, or inserting/deleting elsewhere, is O(n) because you must walk the list.

How is a linked list different from an array?

Arrays give O(1) random access but costly insert/delete in the middle; linked lists give O(1) splicing once you have the node but O(n) access by position.

What is a doubly linked list?

A linked list whose nodes also store a pointer to the previous node, allowing backward traversal and O(1) deletion when you hold a reference to the node.

What is Linked List Visualizer?

A Linked List Visualizer animates a singly linked list — nodes connected by next pointers ending at null (∅). It shows head/tail insertion, traversal-based search, and node deletion by unlinking.

Features

Traverse / insert / delete

Animate pointer updates as nodes are added, removed, or visited.

Complexity

Access / search: O(n). Insert / delete at a known node: O(1). Space: O(n).

100% private

Runs entirely in your browser — nothing is uploaded.

Example

Input

list A → B → C, search C

Output

visit A → B → C (3 hops from head, O(n))

Common use cases

  1. 1

    Understand pointers

    See how nodes link together and how insertion rewires pointers.

  2. 2

    Array vs linked list

    Compare O(n) access here against O(1) array indexing.

  3. 3

    Build stacks & queues

    Learn the node structure behind list-backed stacks and queues.

Summary

Zerethon's linked list visualizer animates a singly linked list in your browser, showing traversal, insertion, and deletion as pointer changes between nodes. Access and search are O(n) (you must walk from the head), while insertion or deletion at a known node is O(1). Space is O(n).

Category
Algorithm
Pricing
Free
Privacy
Browser-based
Signup
Not required

References

Privacy

Your data never leaves your browser unless explicitly stated. Linked List Visualizer runs entirely client-side — no server upload, no logging, no tracking of your input.

New to this? Read the step-by-step explanation with Big-O analysis: Learn Data Structures →

Compare

Stack vs Queue

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