What is a Sliding Window Visualizer?
A sliding window visualizer shows how an algorithm keeps a moving range over an array. The window has a left boundary, a right boundary, and a running value such as a sum or length.
This tool includes fixed-size maximum sum and variable-size minimum subarray length examples. It is useful for learning subarray problems, two-boundary logic, and coding interview patterns.
For the full cluster of related tools, browse the Data Structure Visualizers hub.
How to use this sliding window visualizer
- Paste an array such as
[2, 1, 5, 1, 3, 2]. - Choose fixed-size or variable-size window mode.
- Set the window size or target sum.
- Step through each expand, shrink, and best-result update.
- Compare the highlighted window with the running sum and best answer.
Sliding window vs two pointers
Sliding window usually keeps a continuous range and updates a running value as the range expands or shrinks. Two pointers can also use left and right indexes, but the pointers may move toward each other rather than preserving a window.
Compare this page with the Two Pointers Visualizer, Sorting Algorithm Visualizer, and Matrix Traversal Visualizer.