4 个仓库
Calculations that summarize and aggregate multiple data values into a single result.
Distinct from Business Metric Aggregators: Candidates focus on infrastructure monitoring or business metrics; this is a general data store capability.
Explore 4 awesome GitHub repositories matching data & databases · Data Aggregation Logic. Refine with filters or upvote what's useful.
TinyBase 是一个响应式数据存储和内存关系数据库,专为客户端状态持久化而设计。它作为一个本地优先(local-first)的同步引擎,使用无冲突复制数据类型(CRDT)和逻辑时钟合并分布式状态,以确保确定性的数据收敛。 该项目具有一个模式验证库,可将来自 Zod、Yup 和 TypeBox 等工具的外部定义转换为类型安全的存储定义。它为实时协作编辑提供了基础设施,利用与 Automerge、Yjs 和 PartyKit 的同步来维护跨多个客户端和服务器的一致状态。 能力范围包括具有表和外键的关系数据建模、类似 SQL 的查询和索引,以及用于分组变更的原子事务。它支持广泛的持久化适配器,包括浏览器存储、SQLite 和 Cloudflare Durable Objects。该系统还提供双向状态绑定和用于与 React、SolidJS 和 Svelte 集成的声明式组件。
Defines calculations that summarize and aggregate multiple values into a single result.
Platform is a framework for building back-office applications and administrative dashboards using Laravel. It functions as a schema-driven UI framework and CRUD generator that automatically constructs database management interfaces, input forms, and validation rules from programmatic model definitions. The project distinguishes itself through a comprehensive backend UI kit that supports advanced data capture, including geographic coordinate mapping, tabular JSON data matrices, and marketing metadata tracking. It features a robust role-based access control system for managing resource visibili
Calculates sums, averages, and maximums from database records to serve as data sources for dashboard metrics.
Data API builder is a service that automatically generates REST and GraphQL endpoints directly from database schemas and stored procedures. By interpreting database metadata, it provides immediate programmatic access to information without requiring the development of custom backend routes or manual query logic. The engine distinguishes itself through a metadata-driven translation layer that maps incoming HTTP requests to native database queries while enforcing granular, role-based access control and row-level security policies. It includes a dedicated bridge for AI agents, allowing these sys
Computes statistical summaries directly within database queries to streamline data retrieval.
该仓库作为软件开发者的教育资源,提供了一个专注于基础计算概念和系统操作的结构化教程集合。它涵盖了核心领域,包括算法数据处理、文档导向数据库管理和 Linux 系统管理。 该项目通过弥合理论计算机科学与实际基础设施管理之间的差距脱颖而出。它提供关于实现函数式编程模式和基础搜索算法的指导,同时提供关于导航 Unix Shell 环境和管理远程数据库实例的说明。 材料涵盖了广泛的技术实践,包括数据转换、过滤和聚合技术。它还详细介绍了架构概念,如基于哈希的索引、冲突解决策略和分层数据建模,以支持高效的信息检索和存储。
Demonstrates data aggregation techniques to reduce multiple collection values into single summary results.