Formatted Output Python Packages

textblur-summary

A new package that takes a text description of an image and returns a structured summary of the blurring tool's features and use cases. It processes user-provided text input about the tool, such as it

data-convertible

A new package that provides a structured and reliable way to process user input related to common developer utilities such as JSON, Base64, URL, and hash operations. It uses an LLM to interpret user r

bookmuse

bookmuse generates personalized reading lists based on user preferences and reading history.

compario

A new package that uses large language models and pattern matching to perform structured similarity comparisons between textual content based on normalized compression distance. Users provide multiple

pre-v7-unix-summarizer

A new package that processes text input related to early Unix history (pre-V7) and returns structured, verified summaries using pattern matching and LLM interactions. It takes user-provided text (e.g.

rankextractplus

rankextractplus extracts and structures ranked info from text, organizing data for easier comparison and analysis.

noun-verb

noun-verb is a package that reframes self-concept from fixed labels (nouns) to dynamic actions (verbs).

transpatter

A new package that leverages pattern matching with language models to generate structured summaries or insights from user-submitted texts about topics like train maps or other transportation issues. I