2 个仓库
Awesome GitHub RepositoriesDynamic Data Model Generation
On-the-fly creation of data models during compilation by fetching and registering external definitions.
Distinct from Generative Models: Distinct from generative models: focuses on programmatic model registration rather than statistical data synthesis.
Explore 2 awesome GitHub repositories matching data & databases · Dynamic Data Model Generation. Refine with filters or upvote what's useful.
Awesome Dynamic Data Model Generation GitHub Repositories
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- cube-js/cube
cube-js/cube
20,251在 GitHub 上查看Cube is a semantic data layer that provides a unified framework for defining business metrics, dimensions, and relationships across diverse data sources. By acting as a headless business intelligence engine, it transforms raw data into a governed model that can be queried via SQL, REST, and GraphQL interfaces. This architecture ensures consistent data definitions and logic across all downstream analytical applications and reporting tools. The platform distinguishes itself through its integrated conversational AI capabilities, which allow users to explore data using natural language. It orches
Generates customized data model versions at runtime using security context claims to determine field visibility.
Rustagentic-analyticsagentsai - nixzhu/dev-blog
nixzhu/dev-blog
3,906在 GitHub 上查看该项目是一个综合性的 iOS 应用开发框架，专注于构建具有自定义用户界面组件、异步任务管理和本地数据持久化的移动应用。它作为软件工程的技术知识库，提供用于以 Markdown 格式组织和发布架构分析与笔记的工具。 该框架通过一个强大的基于文档的存储层脱颖而出，该层利用 BSON 格式的记录在 NoSQL 文档存储中执行 CRUD 操作。它提供广泛的系统集成功能，包括专门的应用扩展通信、跨沙盒消息传递和原生共享表单呈现，从而允许宿主应用与系统级服务之间的无缝交互。 该项目涵盖了广泛的功能面，包括具有线程安全同步的高级并发管理、卸载到后台的 UI 渲染以保持响应性，以及全面的国际化支持。它还包括面向开发者的工具，用于静态类型生成、自动化资源映射和交互式原型构建，以及用于地理信标监控和自适应图表生成的专门工具。
Generates custom share data on-demand to optimize memory usage.
