Awesome GitHub RepositoriesTable-to-HTML Converters

Unstructured is an enterprise-grade data orchestration engine designed to transform raw, unstructured files into structured, machine-readable formats. It functions as a comprehensive platform for document ingestion, partitioning, and enrichment, specifically engineered to prepare complex data for retrieval-augmented generation and agentic AI workflows. The platform distinguishes itself through its sophisticated document processing strategies, which combine rule-based extraction with vision-language models to handle diverse file layouts, tables, and images. It provides a modular architecture t

PDF-Extract-Kit is a document extraction toolkit designed to convert PDF documents into structured formats such as Markdown, HTML, and LaTeX. It functions as a multi-stage parsing framework that combines a document layout analyzer, a formula recognition engine, an OCR text extractor, and a table extraction system. The project focuses on recovering complex document elements by translating images of mathematical formulas and tabular structures into editable source code. It utilizes model-driven layout analysis to identify structural elements in reports and textbooks while ignoring noise like wa

This project is an HTML email framework and compiler designed to build responsive emails using a high-level syntax that transforms into table-based layouts. It functions as an HTML-to-table compiler and CSS inliner, ensuring that simplified markup is converted into the complex nested structures and inline attributes required for cross-client compatibility. The framework features a responsive email grid system and Sass-based styling, allowing the use of variables to manage colors, typography, and spacing. These tools enable custom brand theming and the creation of fluid layouts that adapt to v

Tabulator is an interactive data table library and virtual DOM data grid used to create high-performance tables from JSON or arrays. It functions as a hierarchical data viewer and a spreadsheet interface component, capable of rendering thousands of records efficiently through viewport-based virtualization and progressive loading. The library distinguishes itself by providing a full spreadsheet interface mode with multi-sheet management, cell range selection, and bulk copy-paste capabilities. It supports complex data architectures, including nested data field mapping, expandable tree structure

TinyBase es un almacén de datos reactivo y base de datos relacional en memoria diseñada para la persistencia de estado del lado del cliente. Sirve como un motor de sincronización local-first que fusiona estados distribuidos utilizando tipos de datos replicados libres de conflictos (CRDT) y relojes lógicos para asegurar la convergencia determinista de los datos. El proyecto cuenta con una librería de validación de esquemas que convierte definiciones externas de herramientas como Zod, Yup y TypeBox en definiciones de almacén con seguridad de tipos. Proporciona una infraestructura para la edición colaborativa en tiempo real, utilizando la sincronización con Automerge, Yjs y PartyKit para mantener un estado consistente entre múltiples clientes y servidores. La superficie de capacidad incluye modelado de datos relacionales con tablas y claves foráneas, consultas e indexación tipo SQL y transacciones atómicas para mutaciones agrupadas. Admite una amplia gama de adaptadores de persistencia, incluyendo almacenamiento en navegador, SQLite y Cloudflare Durable Objects. El sistema también proporciona enlace de estado bidireccional y componentes declarativos para la integración con React, SolidJS y Svelte.

GLM-4.5 is a multimodal large language model and advanced reasoning system. It functions as an AI coding assistant, an autonomous AI agent, and a multimodal content generator capable of processing and generating text, images, audio, and video within a single unified system. The project is distinguished by its deep reasoning capabilities, utilizing chain-of-thought processing to solve complex mathematical, logical, and technical problems. It features an agentic architecture that allows for autonomous task execution, long-horizon goal planning, and the ability to interact with external tools an

This project is a visual HTML email builder and responsive design tool used to create mobile-ready email layouts. It includes a dynamic email template engine and an artificial intelligence generator for drafting email copy and structural layouts. The system utilizes a component-based layout engine to build emails using standardized blocks and columns, which are translated into table-based HTML for compatibility across diverse email clients. It supports personalization through variable-based template interpolation and conditional logic to adjust content based on specific data sets. The platfo

Ace is a responsive admin template and UI component library built on Bootstrap 3. It provides a comprehensive framework for creating administrative dashboards with a grid-based layout system that adapts to various screen sizes. The project features a broad array of pre-styled layouts for administrative interfaces, including specialized page templates for user profiles, email clients, and real-time chat interfaces. It includes a configuration system for adjusting visual presentations through color skins and right-to-left mirroring support. The library covers a wide range of interface capabili

Oils is a Unix shell interpreter and scripting language runtime that combines a modern shell language with POSIX and Bash compatibility. It functions as a structured data shell, integrating JSON and J8 formats to manage complex data without relying on string parsing. The system is distinguished by a C++ transpiled interpreter that converts a subset of Python source code into strongly typed C++ for high-performance execution. It features a garbage-collected typed runtime that supports prototype-based polymorphism, lexical closures, and reference-based variable mutation. To decouple shell logic

Esta librería es un framework de procesamiento de datos para la JVM que proporciona un entorno con seguridad de tipos para manipular datos tabulares estructurados. Funciona como un conjunto de herramientas integral para realizar transformaciones de datos complejas, agregaciones y análisis estadístico, aprovechando la validación de esquemas en tiempo de compilación para garantizar la integridad estructural en los pipelines de datos. El proyecto se distingue por su profunda integración con entornos de notebooks interactivos y su uso de generación de código en tiempo de compilación. Al derivar y aplicar esquemas automáticamente a partir de entradas sin procesar, genera descriptores de acceso con seguridad de tipos que permiten el autocompletado en el IDE y la verificación estática de nombres de columnas. Esta arquitectura permite a los desarrolladores realizar procesamiento de pipelines funcional manteniendo una estricta seguridad de tipos, evitando eficazmente errores en tiempo de ejecución durante la manipulación de datos. La librería admite una amplia gama de flujos de trabajo de datos, incluyendo la importación y mapeo de esquemas de bases de datos relacionales, la realización de análisis geoespaciales y la ejecución de pivotes de datos complejos. Incluye amplias utilidades para la construcción, filtrado, ordenamiento y cálculo de estadísticas descriptivas de datos. Además, el framework proporciona capacidades robustas de visualización y generación de informes, permitiendo a los usuarios renderizar tablas HTML interactivas, componer documentos y generar gráficos directamente a partir de conjuntos de datos estructurados. La librería está diseñada para un uso fluido dentro de entornos de desarrollo Kotlin y Java, con soporte especializado para la gestión automatizada de dependencias e integración de kernels en notebooks interactivos.