textacy is a Python library for performing a variety of natural language processing (NLP) tasks, built on the high-performance spaCy library. With the fundamentals --- tokenization, part-of-speech tagging, dependency parsing, etc. --- delegated to another library, textacy focuses primarily on the tasks that come before and follow after. Abstracts away the boilerplate for the stuff you actually care about.

Quickstart: https://chartbeat-labs.github.io/textacy/getting_started/quickstart.html

Picard is a cross-platform music tagger written in Python. Install and run it on your library and it'll clean it up. Supports multiple file formats, accoustic fingerprinting to figure out what the track is.

Give the web application on this site a URL, some text, a phone number, or an SMS code and it'll generated a 2d barcode called a QRcode, which you can save as a .png file to use as you like. Good for stickers, business cards, and other ways of making some data machine readable and scannable.

prose is a natural language processing library (English only, at the moment) in pure Go. It supports tokenization, segmentation, part-of-speech tagging, and named-entity extraction. Parses English text, can also natively extract e-mail addresses, hashtags, @mentions, URLs, and emoticons. Can tag segmented and analyzed text by part of speech, including punctuation marks. Can identify types of entities (people, places). Also has the option to build and train custom models.