Awesome GitHub RepositoriesHierarchical Data Structures

Portia is a containerized scraping platform and visual web scraper that enables no-code data extraction. It serves as a Scrapy visual scraping tool and spider generator, allowing users to design and deploy web scrapers through a graphical interface instead of writing manual selector code. The system distinguishes itself by converting visual web page annotations into executable Scrapy spider code and structured JSON specifications. This visual-to-code mapping allows users to define scraping logic and extraction rules through a point-and-click interface, which can then be exported for use in ex

Elvish is a shell that combines interactive command-line use with a structured scripting language, designed to make both everyday terminal work and automation tasks more predictable and readable. It parses, compiles, and executes code in three phases, catching syntax and variable errors before any code runs, and it aborts execution on command failure by default to prevent silent errors. The shell introduces value-oriented pipelines that pass structured data like lists, maps, and closures between commands, preserving types without serialization. It also mixes traditional byte streams with thes

Pokémon battle simulator.

Poml is a prompt management framework and templating engine designed for authoring, versioning, and rendering structured prompts for large language models. It uses a semantic markup language to organize prompts into reusable templates, combining them with dynamic context and data to generate formatted inputs. The system distinguishes itself by decoupling core prompt logic from final presentation through a stylesheet-based approach. It provides a dedicated JSON schema output generator to enforce strict, machine-parsable model responses and a configuration interface for managing function tool s

This project is a server implementation of the Model Context Protocol designed to function as an AI knowledge retrieval tool. It acts as a semantic search engine and web scraping framework that indexes technical documentation from web sources, local files, and archives, making this information directly accessible to AI coding assistants for context-aware research and querying. The system distinguishes itself through a hybrid search architecture that combines vector-based embeddings with full-text retrieval to improve the accuracy of documentation lookups. It features a modular pipeline for co

这是一个专为 React 应用设计的高性能数据网格组件。它提供了一个声明式框架，通过使用基于 Canvas 的绘图引擎而非传统的 DOM 节点，来渲染大规模数据集和复杂的表格结构。 该库的核心优势在于其窗口化虚拟化引擎，通过仅渲染网格的可见部分来保持恒定的内存占用。它通过基于坐标的映射将指针交互转换为特定的单元格引用，并支持将外部应用状态和主题直接注入 Canvas 环境，以确保自定义单元格渲染器之间的数据访问一致性。 该网格支持复杂的布局配置，包括冻结行和列、合并单元格以及可调整大小的表头。它还提供了将信息组织成层级化树状结构的工具，以表示嵌套的数据关系。该库以一组 React 原语的形式分发，可集成到现有的 Web 应用中，用于管理复杂数据界面的滚动状态和布局协调。