klotz: json*

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  1. MinerU is a tool that converts PDFs into machine-readable formats (e.g., markdown, JSON), allowing for easy extraction into any format.
  2. Turn incoming emails into reliable webhooks in minutes. Replace brittle IMAP scripts and Zapier hacks. Route support tickets, orders, or alerts from any mailbox into clean JSON your services can consume.
    2026-01-01 Tags: , , , , , , by klotz
  3. hl is a fast, Rust-based JSON log viewer designed for efficient processing of structured logs. It offers fast indexing and parsing, enabling quick scanning of large log files.
  4. This documentation describes how to use Apache Xalan XSLT 3.0 implementation's REST API to use Xalan-J's XSLT 3.0 implementation from within software application code. It includes examples using Postman with XSLT stylesheets and XML/JSON documents.
  5. An open source web crawler that searches the internet. It's a minimal, real-time web search CLI that searches the internet for you. Enter a query and get search results as JSON (title, url, published_date), sorted by recency.
  6. This article provides a practical guide to JSON prompting for Large Language Models (LLMs), demonstrating how structuring prompts with JSON improves consistency, accuracy, and scalability. It includes Python coding examples comparing free-form and JSON prompts, and provides access to full code notebooks.
    2025-08-27 Tags: , , , , by klotz
  7. Learn how to connect several essential tools to develop a simple yet intuitive dashboard using Streamlit, Plotly, DuckDB, and Pandas to visualize data from a JSON file.
  8. An overview of popular techniques to confine LLMs' output to a predefined schema, covering API providers, prompting/reprompting strategies, and constrained decoding.
  9. Extract data from websites in LLM ready JSON or CSV format. Crawl or Scrape entire website with Website Crawler
    2025-09-05 Tags: , , , , , , by klotz
  10. A guide to building a robust logging system in Python, covering structured logging, log levels, handlers, formatters, filters, and integrating logging with modern observability practices.

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