4 dépôts
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 est un mapper objet-document (ODM) Python qui traduit les enregistrements de base de données en objets pour fournir une interface orientée objet pour la persistance des données. Il sert de gestionnaire de documents et de validateur de schéma pour MongoDB, mappant les classes aux documents pour appliquer les types de données et les règles de validation. Le projet fournit un système de queryset à chargement différé (lazy-loaded) pour filtrer, trier et agréger des collections en utilisant une syntaxe Pythonique. Il gère des structures de données complexes via des fonctionnalités telles que l'héritage de documents, la gestion récursive de documents imbriqués et la liaison d'objets basée sur des références. La bibliothèque couvre de larges capacités, notamment la migration de schéma, la recherche plein texte et la gestion de fichiers binaires volumineux via le système de fichiers GridFS. Elle inclut également des outils pour l'optimisation des index de base de données, le profilage des performances des requêtes et des hooks de cycle de vie basés sur des signaux pour automatiser la logique lors des événements de document.
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.