homer

Why we included this project

Homer is a small Python library that reads a piece of text and returns concrete readability and style metrics, which makes it useful for anyone who wants objective feedback on their writing without bringing in a full AI assistant. It calculates Flesch and Dale-Chall readability scores, estimates reading time, measures sentence and paragraph lengths, and flags vague words, hedgers, and intensifiers. Those signals help non-native speakers and people polishing an essay or blog post tighten their sentences. You can run it from the command line for a whole-article overview, or import it as a library to get per-paragraph stats inside your own scripts. Because it is a small, dependency-light tool built on NLTK, it fits easily into a content pipeline or a writing course. It is not a generative model, so you get analysis and diagnostics rather than rewriting suggestions.