2 مستودعات
Utilities for calculating statistical summaries from related database records.
Distinct from Data Aggregation Tools: Focuses on relationship-specific aggregation, distinct from general data aggregation.
Explore 2 awesome GitHub repositories matching data & databases · Relationship Aggregators. Refine with filters or upvote what's useful.
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
Computes summary values using standard aggregations, conditional filters, and mathematical formulas to derive business insights.
Pothos is a code-first GraphQL schema builder and framework designed for type-safe development. It allows developers to construct schemas using typed definitions in TypeScript, eliminating the need for external code generation steps. The framework distinguishes itself through a dedicated data mapper that connects GraphQL types to relational databases and ORMs, such as Prisma, while optimizing query resolution. It provides a full implementation of the Relay specification, including global object identification and cursor-based pagination. The project covers several core capability areas, incl
Calculates derived statistical summaries, such as counts or sums, from data relationships without loading full records.