Data Structuring Python Packages

text-snippet-summarizer

A new package facilitates extracting a concise, structured summary from user-provided news headlines or brief texts by utilizing pattern matching and LLM interactions. This tool aims to help researche

news-summarizer

A new package designed to facilitate the generation of structured summaries and insights from user-provided news headlines or short articles. It uses pattern matching to ensure responses are consisten

feedback-analyzer-mod

A new package designed to analyze and structure user-submitted text, specifically focusing on community feedback and moderation. The package leverages the capabilities of llmatch-messages to process a

keyinfostruct

keyinfostruct extracts and structures key info from personal texts, highlighting main points, emotions, and suggested actions for better organization.

projects-parser

A new package that leverages advanced pattern matching with retries to process user-submitted project titles and descriptions, extracting structured insights such as the project name, programming lang

structquery

A new package that transforms unstructured text queries into highly structured, search-optimized outputs. The package takes a user's text input, such as a search query or a description of information

vpnfeedbacker

A new package that simplifies and structures user feedback or descriptions about VPN sign-up experiences. It takes text input from users describing their sign-up process with a VPN service, such as ea

txn-harvester

txn-harvester extracts and structures financial transaction data from unstructured text, parsing amounts, dates, and categories for automation.