The Big O Calculator, accessible at bigocalculator.online, is a tool designed to analyze the time and space complexity of algorithms written in programming languages such as C, C++, Java, and Python. Users can input code snippets—up to 2000 characters—and receive a breakdown of complexity expressed in Big O notation, which describes how an algorithm’s performance scales with input size. The tool processes code by examining elements like loops, recursion, and control flow structures to estimate runtime and memory usage.
In addition to basic complexity calculations, the tool generates visual representations that illustrate how performance changes with varying input sizes. A library of common algorithms is included, allowing users to compare their code against standard examples. Explanations accompany the results, detailing the factors contributing to the calculated complexity, while suggestions for optimization are provided based on the analysis. The interface supports multiple languages, making it accessible to developers working in different coding environments.