SurveyJS Form Library is a production-grade, multi-framework JavaScript library for creating, rendering, and managing dynamic forms and surveys entirely in the browser. The core package (`survey-core`) provides a comprehensive model layer including serialization via decorators (`Serializer`), a custom expression engine for conditional logic and validation, a static analysis linter for survey JSON definitions, input masking, drag-and-drop, theming (CSS variables with adapters for Bootstrap/MUI/shadcn), and even a real-time collaboration plugin with presence and value sync. UI packages deliver identical rendering across React, Angular, Vue 3, and vanilla JS (Knockout/jQuery). The architecture is a monorepo: the core is framework-agnostic, while UI packages bind to their respective component models. Data flows from JSON definition → deserialization into model → user interaction → validation → result output (also JSON). The test suite is extensive (unit, E2E, accessibility, visual regression) and the library is actively maintained with weekly releases.
PostHog is a comprehensive product analytics and customer data platform (CDP) built as a polyglot monorepo. It combines Python/Django for core application logic and API, Rust for high-performance event ingestion and symbolication, and Node.js for ingestion pipelines and CDP services. The frontend is a React/TypeScript application using Kea for state management. It supports self-hosting and cloud deployment, with data stored in PostgreSQL, ClickHouse, and Redis. Key features include event tracking, session replay, feature flags, experiments, error tracking, and AI observability. The architecture emphasizes high-throughput event processing via Kafka and Temporal workflows for async tasks.
This repository is a comprehensive survey paper on the intersection of knowledge graphs and multi-modal learning. It organizes the literature into two main directions: KG-driven multi-modal learning (KG4MM) and multi-modal knowledge graphs (MM4KG). The survey covers various tasks such as visual question answering, image classification, multi-modal named entity recognition, and knowledge graph completion, among others. Each section includes a list of relevant papers with links to their sources (e.g., arXiv, conference proceedings). The repository is maintained through updates that include adding new papers and fixing links, as evidenced by the recent commit in 2026 and the news items up to 2024-12.