Sparnatural is a client-side, web-component-based visual SPARQL query builder. It allows non-technical users to construct complex SPARQL SELECT queries by selecting classes, properties, and values through an interactive criteria tree, with support for AND/OR, OPTIONAL, NOT EXISTS, aggregated variables, and geospatial filters. The system is configurable via SHACL or OWL shape definitions, which define available entities, properties, widgets, and datasources. It integrates with YASGUI for query editing and result display, and provides multiple built-in widget types (list, autocomplete, tree, map, date range, number, boolean, search). The core architecture is a custom HTML element (`<spar-natural>`) with a component-based UI, event-driven state management (ActionStore), and a SPARQL generation pipeline that converts an internal JSON query format to SPARQL algebra using sparqljs. The codebase demonstrates solid engineering with clean interfaces for specification providers and data providers, but carries technical debt from a legacy OWL configuration path, two query JSON formats (v1 and v13), heavy jQuery/DOM manipulation, and limited test coverage outside the SPARQL translator. It is actively maintained and well-documented, but its tight coupling to SPARQL endpoints and large dependency bundle may limit reuse in non-RDF contexts.
EasySpider is a visual, no-code web scraping tool that combines an Electron desktop application, a Chrome browser extension, and a Python execution engine. Users design scraping workflows via a flowchart-based UI (Vue.js) where they define steps like opening pages, clicking elements, extracting data, looping, and conditional branching. The task definitions are saved as JSON graphs. The Python backend (ExecuteStage) loads these graphs and drives Chrome using Selenium with an undetected-chromedriver fork to evade bot detection. Extracted data can be written to CSV, Excel, JSON, or MySQL. The tool also includes OCR support (ddddocr), custom JavaScript/Python execution, and Cloudflare bypass capabilities. The architecture is a hybrid desktop app with a local HTTP server (Express) that spawns executor processes and communicates via WebSocket. The Chrome extension assists in element selection and XPath generation. While the tool is functional and popular (44k+ stars), the codebase exhibits significant duplication (e.g., identical task files across platform directories, duplicated Bootstrap and content scripts), hardcoded paths, monolithic executor scripts, and mixed-language strings. Several experimental modules (LLM, federated learning) are present but not integrated. The project is actively maintained with recent commits and packaging scripts, but technical debt and drift (Bootstrap 4, Vue 2, pinned Python dependencies) are moderate.