4 repository-uri
Tools for identifying broken dependencies in saved reports.
Distinct from Data Modeling: Distinct from Data Modeling: focuses on validation of report-to-model references.
Explore 4 awesome GitHub repositories matching data & databases · Reference Validators. 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
Identifies saved reports relying on missing fields to prevent dashboard failures during updates.
MobX State Tree is a structured, tree-based state management library for JavaScript applications that combines typed model definitions with reactive snapshots and patch-based change tracking. It provides a reactive state container with runtime and compile-time type safety, where application state is defined as a tree of typed models with collocated actions, computed views, and lifecycle hooks for predictable state mutations. The library is built around an action-centric mutation model that encapsulates all state changes within named functions that directly modify the tree, supported by genera
Checks reference validity and safely handles missing or detached target nodes in the state tree.
MongoEngine este un object-document mapper Python care traduce înregistrările bazei de date în obiecte pentru a oferi o interfață orientată pe obiecte pentru persistența datelor. Servește ca manager de documente și validator de schemă pentru MongoDB, mapând clasele la documente pentru a impune tipuri de date și reguli de validare. Proiectul oferă un sistem de queryset lazy-loaded pentru filtrarea, sortarea și agregarea colecțiilor folosind sintaxa Pythonic. Gestionează structuri de date complexe prin funcții precum moștenirea documentelor, gestionarea recursivă a documentelor încorporate și legarea obiectelor bazată pe referințe. Biblioteca acoperă capabilități largi, inclusiv migrarea schemei, căutarea full-text și gestionarea fișierelor binare mari prin sistemul de fișiere GridFS. Include, de asemenea, instrumente pentru optimizarea indexului bazei de date, profilarea performanței interogărilor și hook-uri de ciclu de viață bazate pe semnale pentru a automatiza logica în timpul evenimentelor documentului.
Links documents together and defines automatic deletion rules for when a referenced document is removed.
Marksman is a Language Server Protocol implementation for Markdown that provides advanced editor features including autocomplete, go-to-definition, and hover support for markdown files. It serves as an analysis engine to manage documentation and knowledge bases through automated link validation and consistent cross-referencing across multiple documents. The project enables the navigation of complex networks of wiki-style links and headings. It supports content refactoring, allowing users to rename headings and update internal references across multiple files to maintain document integrity dur
Detects broken wiki-links and duplicate or ambiguous headings through real-time diagnostics.