w3Frequency

w3Frequency is an open‑source JavaScript library designed to perform frequency analysis on textual content embedded within web pages. It was created by the W3Tech community in 2021 to fill a gap in existing client‑side text analytics tools that primarily focus on keyword extraction rather than comprehensive statistical reporting. The library operates entirely in the browser, eliminating the need for server‑side processing or data upload, thereby preserving user privacy.

Core features of w3Frequency include a sliding‑window algorithm that can compute term frequencies over user‑defined time intervals, support for multiple linguistic tokenizers (English, Spanish, and UTF‑8 generic), and an API that returns data in JSON format suitable for integration with charting libraries such as Chart.js or D3.js. Because it runs client‑side, developers can embed w3Frequency into single‑page applications, progressive web apps, or static sites without increasing server load. The library also provides utilities for normalizing text, filtering stop‑words, and transforming frequencies into normalized scores.

w3Frequency is distributed under the MIT license and encourages community contributions through its GitHub repository. The project maintains extensive documentation, including a quick‑start guide, configuration options, and example code snippets. It has been integrated into several educational platforms for real‑time vocabulary analytics and is included in the W3Tech tool suite for web designers. The repository tracks issues and pull requests on GitHub, and contributors can access the library via npm (package name “w3frequency”) or direct download from the releases page.