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13 个仓库

Awesome GitHub RepositoriesDatabase Metadata Discovery

Tools that automatically map and navigate database structures via system catalogs.

Distinguishing note: Focuses on discovery and mapping rather than general database management.

Explore 13 awesome GitHub repositories matching data & databases · Database Metadata Discovery. Refine with filters or upvote what's useful.

Awesome Database Metadata Discovery GitHub Repositories

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  • dbeaver/dbeaverdbeaver 的头像

    dbeaver/dbeaver

    50,678在 GitHub 上查看↗

    DBeaver is a universal database client and administration environment designed for managing diverse relational and non-relational database systems. It provides a unified graphical interface that enables users to perform data manipulation, schema migration, and performance monitoring across multiple platforms. By utilizing a standardized driver abstraction layer, the application translates generic requests into database-specific commands, ensuring consistent interaction regardless of the underlying technology. The project distinguishes itself through an extensible, plugin-based architecture th

    Automatically maps database structures by querying system catalogs for consistent navigation.

    Javaaicopilotdatabase
    在 GitHub 上查看↗50,678
  • open-metadata/openmetadataopen-metadata 的头像

    open-metadata/OpenMetadata

    14,213在 GitHub 上查看↗

    OpenMetadata is an enterprise data catalog, metadata platform, and governance suite that functions as a knowledge graph for data assets. It serves as an AI-ready metadata layer, providing governed context and organizational memory to large language model agents via the Model Context Protocol. The platform distinguishes itself by capturing institutional knowledge, linking conversations, decisions, and remediation notes directly to data assets to preserve tribal knowledge. It integrates AI agents to automate metadata governance, such as suggesting descriptions and identifying sensitive data thr

    Automatically extracts and synchronizes metadata from diverse sources using SDKs, APIs, and webhooks.

    TypeScriptcontextcontext-layerdata-catalog
    在 GitHub 上查看↗14,213
  • linkedin/datahublinkedin 的头像

    linkedin/datahub

    12,106在 GitHub 上查看↗

    DataHub is a metadata management system and data catalog platform designed to provide a centralized directory for discovering, managing, and documenting datasets across a diverse data stack. It serves as a comprehensive framework for metadata management, incorporating a data governance framework to classify sensitive information and assign ownership for organizational accountability. The platform distinguishes itself through AI-enabled data discovery, which connects large language models to a metadata graph to allow for natural language search and exploration of data assets. It also provides

    Automates the extraction of technical and operational metadata from external warehouses and BI tools.

    Python
    在 GitHub 上查看↗12,106
  • datahub-project/datahubdatahub-project 的头像

    datahub-project/datahub

    12,141在 GitHub 上查看↗

    DataHub is a metadata management platform designed to unify technical, operational, and business context across diverse data ecosystems. By utilizing a graph-based metadata model and an event-driven ingestion architecture, it creates a centralized source of truth that maps complex data relationships, lineage, and ownership. This foundational framework enables organizations to maintain a synchronized view of their data landscape, supporting both human-led discovery and automated data operations. The platform distinguishes itself through its focus on grounding artificial intelligence and autono

    Ingests and centralizes metadata from diverse databases and warehouses to enable cross-domain discovery.

    Pythondata-catalogdata-discoverydata-governance
    在 GitHub 上查看↗12,141
  • popcorntime/popcorntimepopcorntime 的头像

    popcorntime/popcorntime

    10,495在 GitHub 上查看↗

    Popcorn Time is a cross-platform application that functions as a BitTorrent streaming client, enabling the playback of movies and television shows through sequential data downloading. It serves as a comprehensive media discovery platform and metadata API, providing tools to search, browse, and retrieve detailed information about entertainment content. The platform distinguishes itself through a robust streaming data provider service that maps regional streaming availability and resolves encrypted tokens into secure redirects for external media platforms. It supports global audiences by locali

    Provides tools for searching and browsing comprehensive databases to discover media titles and streaming availability.

    TypeScriptandroiddesktopios
    在 GitHub 上查看↗10,495
  • tporadowski/redistporadowski 的头像

    tporadowski/redis

    9,987在 GitHub 上查看↗

    Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL database. It provides sub-millisecond read and write access to data stored in RAM and can operate as a vector database for indexing high-dimensional embeddings. The system supports a wide range of data storage and synchronization primitives, including the management of strings, hashes, lists, sets, and JSON documents. It enables real-time data operations through atomic transactions, hybrid persistence using snapshots and append-only logs, and high-availability configurations

    Provides a discovery service to resolve the network location of specific databases by name.

    Credisredis-for-windowsredis-msi-installer
    在 GitHub 上查看↗9,987
  • boto/boto3boto 的头像

    boto/boto3

    9,834在 GitHub 上查看↗

    Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain

    Retrieves location information for cloud resources while filtering for healthy instances to enable service discovery.

    Pythonawsaws-sdkcloud
    在 GitHub 上查看↗9,834
  • predis/predispredis 的头像

    predis/predis

    7,762在 GitHub 上查看↗

    Predis is a PHP library for connecting to and executing commands against Redis and Valkey data stores. It functions as a client for managing data integration, providing dedicated implementations for cluster sharding, pub/sub messaging, and Sentinel-based service discovery. The project distinguishes itself through specialized clients for executing server-side Lua scripts with automated hash caching and a cluster client that supports gossip protocols and key distribution. It also implements a Sentinel client to manage high availability and failover within replicated environments. The library c

    Uses Sentinel instances to dynamically discover the network location of the current primary node.

    PHP
    在 GitHub 上查看↗7,762
  • apache/dubbo-spring-boot-projectapache 的头像

    apache/dubbo-spring-boot-project

    5,389在 GitHub 上查看↗

    该项目是一个集成框架,用于在 Spring Boot 应用中引导 Apache Dubbo 远程过程调用(RPC)服务。它作为一个微服务通信框架,通过自动化配置实现 RPC 服务、服务发现和分布式治理。 该项目的独特之处在于提供了一个跨语言 RPC 桥接,允许使用不同语言编写的服务通过 gRPC 和 Protobuf 等标准进行通信。它还支持使用 Triple 协议将后端微服务暴露为 REST 端点,以便从 Web 浏览器和第三方客户端直接访问。 该框架涵盖了广泛的功能,包括用于流量路由和限流的分布式服务治理、集中式配置管理,以及用于请求追踪和健康监控的微服务可观测性。它还支持多种传输层以及 Redis 和 Memcached 的存储集成。 该项目提供 Starter 和配置,以自动化 Spring Boot 环境中 RPC 基础设施的引导。

    Syncs application addresses and interface definitions to enable precise routing in large clusters.

    Javadubbo
    在 GitHub 上查看↗5,389
  • amundsen-io/amundsenamundsen-io 的头像

    amundsen-io/amundsen

    4,737在 GitHub 上查看↗

    Amundsen is a data catalog and discovery platform that provides a centralized directory for indexing tables and dashboards. It functions as a metadata management system and search engine, allowing users to locate and understand available data assets across diverse distributed sources. The platform includes capabilities for data lineage tracking to map the origin and movement of datasets between systems. It also serves as a data profiling tool, calculating distribution and quality statistics for individual table columns to provide automated insights into the nature of the data. The system man

    Automates the extraction and synchronization of technical metadata from various database instances.

    Pythonamundsendata-catalogdata-discovery
    在 GitHub 上查看↗4,737
  • prest/prestprest 的头像

    prest/prest

    4,551在 GitHub 上查看↗

    PostgREST 是一个自动将 PostgreSQL 数据库模式转换为生产就绪 RESTful API 的工具。它作为一个数据库访问层和查询引擎,将 HTTP 请求直接映射到 SQL 查询,提供了一个低代码接口,用于执行创建、读取、更新和删除操作,而无需手动编写样板代码。 该项目通过使用模式驱动的 API 生成和基于元数据的发现,将数据库表公开为可导航资源,从而脱颖而出。它通过执行自定义和模板化 SQL、用于注入业务逻辑的基于插件的中间件系统,以及在运行时加载外部共享库的能力,扩展了标准的 CRUD 功能。 该系统涵盖了广泛的功能,包括具有表连接、聚合和全文搜索的复杂数据查询。它实现了一个全面的安全框架,具有基于令牌的身份验证、细粒度的表级权限和 CORS 管理。其他操作功能包括本地结果缓存、服务器健康监控以及对分布式 SQL 和 Amazon Redshift 的连接支持。 安装支持多种环境,包括作为独立二进制文件或通过 Docker Compose 和 Heroku 自动化模板。

    Automatically exposes database tables and schemas as API resources by inspecting the system catalog.

    Goautomatic-apidatabasedatabases
    在 GitHub 上查看↗4,551
  • spaceandtimefdn/sxt-go-sdkspaceandtimefdn 的头像

    spaceandtimefdn/SxT-Go-SDK

    3,858在 GitHub 上查看↗

    The Space and Time Go SDK is a development toolkit designed for interacting with decentralized storage environments and executing verifiable SQL queries. It provides the necessary infrastructure to manage database schemas, manipulate tables, and perform complex data operations within a distributed storage system. The SDK distinguishes itself by integrating cryptographic proof generation and verification directly into the database workflow. It enables the execution of SQL commands that produce mathematical evidence of data integrity, ensuring that results returned to an application remain accu

    Retrieves structural metadata about namespaces, tables, and indexes to assist in managing database organization.

    Go
    在 GitHub 上查看↗3,858
  • apache/incubator-devlakeapache 的头像

    apache/incubator-devlake

    2,940在 GitHub 上查看↗

    DevLake is a DevOps data platform and analytics tool designed to orchestrate data pipelines that ingest, transform, and sync metadata from external development tools into a unified database. It functions as a system for collecting and normalizing data from source control, CI/CD pipelines, and issue trackers into a standardized schema to enable consistent software delivery analytics. The platform distinguishes itself by transforming tool-specific data into a common domain model, allowing for the calculation of engineering metrics via SQL. It provides specialized frameworks for measuring DORA m

    Provides specialized plugins for the automated gathering of metadata from source control and CI/CD tools.

    Godashboard-friendlydatadata-analysis
    在 GitHub 上查看↗2,940
  1. Home
  2. Data & Databases
  3. Database Metadata Discovery

探索子标签

  • Automated Discovery RoutinesRoutines for executing automated search queries to integrate profile discovery into external systems. **Distinct from Database Metadata Discovery:** Distinct from Database Metadata Discovery: focuses on AI-driven indexing and organization of enterprise metadata rather than just mapping database structures.
  • Database Metadata Ingestion2 个子标签Automated extraction of technical and operational metadata from database instances. **Distinct from Database Metadata Discovery:** Distinct from general discovery: focuses on the ingestion and synchronization of metadata from specific database instances.
  • Service Discovery1 个子标签Mechanisms for resolving the network location of database instances or services by name. **Distinct from Database Metadata Discovery:** Focuses on network location resolution (endpoint discovery) rather than mapping internal database schemas (metadata discovery).