Text Inputs

A new package that enables users to provide simple text inputs about innovative, privacy-focused services—such as a phone company that doesn't collect personal data—and receive structured summaries or

A new package designed to process and structure text inputs related to software development and release notes. The package leverages llmatch-messages to ensure that the input text is parsed and format

Streamlit component which include row(s) of text input field with DnD property

Text cleaning, scoring and compression pipeline

A new package is designed to analyze user-submitted discussions or problem descriptions about improving business interfaces, such as Chase Travel's UI. It processes the input text and outputs a struct

To fetch the thesaurus of an input word

A new package designed to process user-inputted text statements or stories and extract structured summaries or insights using a reliable language model with pattern matching and retries. It simplifies

GTK textbuffer with undo functionality.

A simple component used to input multiple texts

BrainVoyager Tools - An object-oriented approach to create, read and write common plain-text BrainVoyager input formats with Python

Extract from a given long text input, eCommerce products and price budget.

A new package that takes unstructured text input from users and returns structured, categorized feedback or suggestions. It uses pattern matching to ensure responses follow a consistent format, such a

A new package is designed to simplify the process of extracting structured information from user-provided text inputs by leveraging a language model with pattern matching capabilities. The system prom

unistruct extracts structured data from unstructured text, aiding project planning and management by converting free-form inputs into actionable details.

A new package designed to interpret and extract structured technical insights from user-submitted hardware and software update summaries. It processes concise text inputs about hardware support change

A new package would process text inputs describing unconventional or controversial business or social initiatives, such as the 2012 program where homeless individuals were employed as mobile Wi-Fi hot

Convert many medium into text, and the text format is specialized for prompt input

linked inputs for flet framework

A new package enables users to provide text inputs and receive reliably structured responses that clearly present key information with confidence indicators, reducing misunderstanding and overconfiden

A new package designed to analyze input texts related to global pharmaceutical trends, such as India's role in manufacturing generics, and generate structured summaries or insights. It leverages struc

AI-Agent (Auto-Code Executor) is a Python module that dynamically executes Python functions based on textual input. It leverages a language model (LLM) to match the input text with function descriptions and then executes the corresponding function from a specified file.

This package solves the problem of extracting structured, domain-specific insights from unstructured text inputs—like historical articles, research papers, or summaries—without requiring manual parsin

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

A new package that helps users and organizations analyze and categorize email account usage patterns. The package takes user-submitted text input describing their email management habits and returns a

A lightweight Python utility to clean special characters from text inputs with built-in input validation and error handling.

A new package that processes user-provided text input to generate structured summaries of technical challenges, such as the difficulty of implementing resumable LLM streaming. It uses a system prompt

A new package designed to interpret and extract structured technical insights from user-submitted hardware and software update summaries. It processes concise text inputs about hardware support change

An input pygame alternative for sublime text users.

A new package would process user-provided text input related to historical or thematic content—such as summaries, descriptions, or analyses of topics like persuasion techniques from antiquity—and retu

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.

Text extraction from Microsoft Word files. Parses Word documents natively and can optionally run local OCR with Tesseract for embedded images or scanned pages. Supports page selection and bytes input. Legacy .doc is read-only and OCR is not available.

A new package that analyzes user-provided JavaScript code snippets to determine if they can run concurrently without conflicts or race conditions. It takes the code as text input and returns a structu

A new package that analyzes user-provided text to detect and categorize the overall emotional tone or 'vibe' of the content. It processes input text and returns a structured summary of the detected em

Show the window that allows you to click filenames, which are picked up by scanning input text file.

This package helps users identify and avoid common pitfalls in web and HTML development by analyzing text-based input—like code snippets, design descriptions, or technical discussions—and returning a

A new package that helps developers quickly compare programming languages (Java, JavaScript, Python, Go) for a given task or context. It takes a text input describing a development scenario or require

streamlit_text_like enables to like or dislike a text input

Python-mardown extension for inputs(text, select, checkbox...) in markdown document

A new package that processes user-provided text inputs (such as headlines, descriptions, or extracted content from media) and returns structured, pattern-validated summaries using an LLM. It leverages

A library for creating simple text-based data input screens

Automates Software Security Analysis and Testing (SAST) by receiving user-inputted code snippets or text descriptions of functionality and returning a structured response highlighting potential securi

A new package that takes user-provided text input and returns structured, validated output using pattern matching to ensure consistent formatting. It processes text extracted from various sources like

A (simple) package for filtering text based on an input

A new package designed to transform raw text inputs into structured, meaningful outputs using advanced language models. This package leverages the capabilities of llmatch-messages to ensure that the r

The embeddings package is a utility for generating question-answer pairs and embeddings from HTML pages or text input. It utilizes the OpenAI API to generate question-answer pairs and embeddings. This package is useful for generating training data for chatbots or question-answering models.

A new package designed to transform unstructured text inputs into standardized, machine-readable outputs. This tool focuses on domains where consistency and format are critical, such as technical docu

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

Korean text input for pygame

A new package designed to transform unstructured text inputs into structured, actionable insights using advanced language models. This package leverages the capabilities of llmatch-messages to ensure

A new package would process user-provided text inputs, such as headlines or short descriptions, and generate structured summaries or categorizations using an LLM. It would be particularly useful for c