10 projects for "code extract" with 2 filters applied:

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  • 1
    LLM Scraper

    LLM Scraper

    Extract structured data from webpages using LLM-powered scraping

    LLM Scraper is a TypeScript library designed to extract structured data from webpages using large language models. Instead of relying on fragile HTML selectors or manual parsing rules, the tool interprets webpage content with language models and converts it into structured data according to a defined schema. Developers can specify the data structure using tools such as Zod or JSON Schema, enabling the model to extract relevant information directly into typed objects.
    Downloads: 1 This Week
    Last Update:
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  • 2
    Gitingest

    Gitingest

    Create prompt-friendly codebase digests from any Git repository URL

    ...In addition to producing the code digest, Gitingest also calculates statistics about the extracted content such as repository structure, total size of the extract, and token count. Gitingest can be used as a command line utility or integrated directly into Python applications.
    Downloads: 0 This Week
    Last Update:
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  • 3
    DeepWiki Open

    DeepWiki Open

    AI-Powered Wiki Generator for GitHub/Gitlab/Bitbucket Repositories

    DeepWiki Open is an open-source, AI-powered wiki generator that automatically creates fully navigable, richly structured wiki documentation for GitHub, GitLab, or Bitbucket repositories by combining code analysis, vector embeddings, retrieval-augmented generation (RAG), and visualization tools. Users can enter a repository URL and the system will clone the project, build semantic embeddings of its codebase, extract architecture and relationships, generate human-readable documentation, and produce visual diagrams to help explain complex code structure. ...
    Downloads: 2 This Week
    Last Update:
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  • 4
    Text2Code for Jupyter notebook

    Text2Code for Jupyter notebook

    A proof-of-concept jupyter extension which converts english queries

    ...The system uses natural language processing techniques to identify the intent of the query, extract relevant variables, and map the request to predefined code templates. Technologies such as sentence embeddings and named entity recognition are used to interpret user instructions and construct appropriate code outputs.
    Downloads: 0 This Week
    Last Update:
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  • Streamline Azure Security with Palo Alto Networks VM-Series Icon
    Streamline Azure Security with Palo Alto Networks VM-Series

    Centrally manage physical and virtualized firewalls with Panorama

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  • 5
    AI-Crawler

    AI-Crawler

    Crawl a website starting from a URL, find relevant pages

    ...Unlike traditional web scrapers that rely on static selectors and manual scripting, it uses AI to dynamically identify and prioritize pages based on user intent, making it more flexible and resilient to changes in website structure. Users can define their data requirements in plain English, and the system will interpret those instructions to crawl a domain and extract structured data. The tool supports output formats such as JSON and Markdown, and it can generate or accept schemas to ensure that extracted data is structured according to application needs. It is designed as a low-code solution, reducing the complexity of building and maintaining custom scraping pipelines.
    Downloads: 1 This Week
    Last Update:
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  • 6
    designlang

    designlang

    Extract any website's complete design system with one command

    ...The tool supports exporting to frameworks like Tailwind, SwiftUI, Flutter, and WordPress, making it highly versatile for cross-platform development. It also integrates with tools like Figma and shadcn, enabling seamless design-to-code workflows. The system includes accessibility analysis features, such as WCAG compliance checks and CSS health audits, helping developers improve usability and standards compliance. It can be used via CLI or browser extension, making it flexible for different workflows. Overall, design-extract automates the process of reverse-engineering design systems, significantly accelerating frontend development.
    Downloads: 0 This Week
    Last Update:
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  • 7
    DocETL

    DocETL

    A system for agentic LLM-powered data processing and ETL

    ...Pipelines are typically defined using a low-code YAML interface, giving users full control over prompts and processing steps while still simplifying workflow creation.
    Downloads: 0 This Week
    Last Update:
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  • 8
    Anything to NotebookLM

    Anything to NotebookLM

    Multi-source content processor for NotebookLM

    ...It supports multilingual material, with especially strong use cases for Chinese and English content. The tool can process files locally, extract or transcribe content when needed, and hand the cleaned material to NotebookLM for generation. It is best suited for researchers, students, content curators, and knowledge workers who regularly turn scattered information into organized learning assets.
    Downloads: 0 This Week
    Last Update:
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  • 9
    SimpleHTR

    SimpleHTR

    Handwritten Text Recognition (HTR) system implemented with TensorFlow

    ...The project focuses on converting images of handwritten text into machine-readable digital text using neural networks. The system uses a combination of convolutional neural networks and recurrent neural networks to extract visual features and model sequential character patterns in handwriting. It also employs connectionist temporal classification (CTC) to align predicted character sequences with input images without requiring character-level segmentation. The repository provides code for training models, performing inference on handwritten text images, and evaluating recognition accuracy. ...
    Downloads: 0 This Week
    Last Update:
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  • 10
    Generic engine to filter information. We wish to show that the power of expression of a filter makes it possible to appreciably reduce the size of the code necessary to extract information and that it is possible in Python.
    Downloads: 0 This Week
    Last Update:
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