A menu for pygame (pygame-ce also supported!). Simple, and easy to use

D. Analyzer is one stop solution to analyze text data or audio files. It will count the number of words, characters, and lines, but these are the basics. Let's explore something advanced that is none other than the fact that it makes word cloud, performs sentiment analysis, and generates the summary.

A new package that analyzes text input to determine sentiment intensity and polarity toward specific tech CEOs or companies, returning structured scores and rankings. It uses pattern matching to ensur

This package helps users quickly compare virtual private server (VPS) offerings by taking a simple text input—like a list of VPS providers, their plans, or key features—and returning a structured brea

A new package that helps software developers improve their learning strategies by analyzing their self-reported learning habits, goals, and challenges. It takes text input describing their current lea

model-compare evaluates AI models side‑by‑side based on user tasks, rating accuracy, creativity, and efficiency to guide model choice.

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

A module for text input in pygame. It supports wrapping, key shortcuts and selection of text.

A new package would take a technical description or code snippet related to concurrency in Go and generate a structured summary of the concept, such as a fair, cancelable semaphore. It would extract k

A new package is designed to facilitate structured, reliable extraction of key insights from user-provided texts about cultural topics. It accepts a text input, such as an article or discussion prompt

lawhead-extractor parses legal headlines, extracting parties, claim type and outcome using an LLM with pattern matching for accuracy.

vitae-parser extracts and structures biographical details from unstructured text using pattern matching.

A new package that takes a news headline or short text snippet as input and returns a structured summary of the key details, such as the person involved, the event, and the financial or business impac

outline-ai converts text into structured summaries, proposals, or outlines, automating publication creation with clarity and ease.

A new package that helps extract and structure insights from discussions about AI system design challenges. Users can input text from forums, articles, or discussions, and the package will use llmatch

A new package would provide a text input describing a system, event, or scenario, and return a structured analysis based on Nassim Taleb's concepts of Black Swan events and antifragility. It would ide

Simple Python app

📝 Extract and structure biographical information from unstructured text with this easy-to-use Python package for researchers and historians.

💡 Extract key insights from cultural texts easily with summaryxtract, a Python package powered by LLMs for reliable and structured summarization.

📚 Generate personalized book recommendations based on your reading preferences and history with bookmuse. Discover your next favorite read effortlessly.