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6 dépôts

Awesome GitHub RepositoriesSchema Metadata Annotations

Persistent documentation and attribution notes attached to database objects.

Distinguishing note: None of the candidates cover database-level DDL comments or persistent schema metadata.

Explore 6 awesome GitHub repositories matching data & databases · Schema Metadata Annotations. Refine with filters or upvote what's useful.

Awesome Schema Metadata Annotations GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • airbnb/epoxyAvatar de airbnb

    airbnb/epoxy

    8,556Voir sur GitHub↗

    Epoxy is an Android library for building complex RecyclerView screens using a model-driven approach. It generates RecyclerView adapter models at compile time from annotated custom views, data binding layouts, or view holders, eliminating the manual boilerplate typically associated with view holders and adapters. The library provides a diffing engine that automatically compares model lists and applies minimal updates with animations for insertions, removals, and moves. The library distinguishes itself through its controller-based model building, where a controller class with a buildModels meth

    Creates RecyclerView models using Kotlin data classes and property delegates without annotation processing.

    Java
    Voir sur GitHub↗8,556
  • ariga/atlasAvatar de ariga

    ariga/atlas

    8,096Voir sur GitHub↗

    Atlas is a SQL database schema management tool and database infrastructure as code framework. It provides a declarative database migration engine that computes the difference between a desired schema state and the current database state to automatically generate the necessary SQL for transitions. The project distinguishes itself through a comprehensive suite of analysis and visualization tools, including a database schema linter that detects destructive changes and data loss risks. It also features a SQL schema visualization tool capable of generating entity-relationship diagrams from extract

    Implements persistent documentation headers for functions and views that survive schema migrations.

    Go
    Voir sur GitHub↗8,096
  • boundaryml/bamlAvatar de BoundaryML

    BoundaryML/baml

    7,636Voir sur GitHub↗

    BAML is a prompt engineering framework and LLM client generator that defines AI prompts as type-safe functions. It serves as a structured data extraction tool and workflow orchestrator, transforming unstructured model responses into strongly typed objects using a custom schema language and alignment algorithms. The project distinguishes itself by using a compiler to generate language-specific boilerplate code for API communication and output parsing. It features a dedicated environment for designing complex prompt templates with conditional logic and reusable snippets, and employs genetic alg

    Attaches metadata or behavioral modifiers to fields to control how the AI model processes specific values.

    Rustbamlboundarymlguardrails
    Voir sur GitHub↗7,636
  • apache/foryAvatar de apache

    apache/fory

    4,234Voir sur GitHub↗

    Fory is a cross-language serialization framework and binary data serializer designed to convert complex object graphs into a compact binary format for high-performance data exchange. It includes an IDL-based schema compiler to transform interface definition language files into type-safe native data models and a schema evolution manager to maintain forward and backward compatibility. The project features a zero-copy data access layer that allows reading specific fields from binary rows without deserializing the entire object. It supports dual-mode serialization, enabling a toggle between a por

    Attaches encoding hints and behavioral modifiers to fields using language-specific annotations or tags.

    Javacompressioncppcross-language
    Voir sur GitHub↗4,234
  • memgraph/memgraphAvatar de memgraph

    memgraph/memgraph

    4,163Voir sur GitHub↗

    Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management. It utilizes a Cypher query engine for declarative data retrieval and manipulation, providing a scalable knowledge graph backend that integrates vector search and graph traversals. The system distinguishes itself as a real-time graph analytics platform, employing native C++ and CUDA implementations to execute complex network analysis and dynamic community detection on streaming data. It provides specialized support for AI integration, including GraphRAG capabilities, the constr

    Attaches human-readable descriptions to labels and properties to provide domain context within the database schema.

    C++cyphergraphgraph-algorithms
    Voir sur GitHub↗4,163
  • kuzudb/kuzuAvatar de kuzudb

    kuzudb/kuzu

    3,965Voir sur GitHub↗

    Kùzu is an embedded property graph database engine designed for high-performance analytical queries and local data management. It operates as a library within the host application process, utilizing a columnar-based storage architecture and just-in-time query compilation to execute complex graph traversals and pattern matching efficiently. By mapping database files directly into system memory, it ensures data durability and high-speed access while maintaining ACID-compliant transactional integrity. The engine distinguishes itself by integrating vector similarity search and full-text search di

    Allows attaching descriptive metadata and documentation to database tables for administrative clarity.

    C++cypherdatabaseembeddable
    Voir sur GitHub↗3,965
  1. Home
  2. Data & Databases
  3. Schema Metadata Annotations

Explorer les sous-tags

  • Encoding HintsMetadata annotations used to provide hints for binary encoding and behavioral modifiers during serialization. **Distinct from Schema Metadata Annotations:** Specifically covers serialization encoding hints rather than persistent database documentation.
  • Model Behavioral Annotations1 sous-tagMetadata attached to schemas to influence LLM generation behavior. **Distinct from Schema Metadata Annotations:** Distinct from database schema metadata: specifically targets modifiers that control how an AI model handles specific values.