Think you've got a great README?

We know writing a README can be a challenge. And, how do you know what makes a README any good?

Instead of guessing, we tried to train a model using natural language processing, and machine learning. This data science experiment uses the 10,000 most starred GitHub repositories, across the 10 most popular programming languages.

Try it out: We'll analyze your README, score it, and provide recommendations for improvement across four categories.

Learn more about our data science approach to analyzing GitHub README's.