awesome-nlp

Why we included this project

Anyone starting out in natural language processing, or a lead trying to survey the field before choosing a stack, will get real value from this index. It has been maintained for years and stays current, with libraries grouped by programming language so you can jump straight to the Python, Rust, or Go options for a given job. Beyond code, it rounds up annotation tools, services, and task-specific sections on embeddings, tokenization, parsing, and named entity recognition, plus tutorials, books, and research summaries for teams ramping up. Since it is a curated directory rather than a single tool, use it to discover and compare candidates, then go check the projects themselves.