5 repository-uri
Architecture for relational database connectivity and schema management.
Explore 5 awesome GitHub repositories matching data & databases · PostgreSQL Integrations. Refine with filters or upvote what's useful.
AutoGPT is an orchestration platform designed for building, managing, and deploying autonomous agents. It provides a visual canvas-based environment where users can assemble agents by connecting modular blocks that represent actions, data flows, and conditional logic. The platform supports the entire agent lifecycle, including task scheduling, execution monitoring, and configuration management, while offering a marketplace for discovering and sharing community-built workflows. The project includes a legacy framework for command-line agent execution and an extensible component system for devel
Integrates relational database storage with automated schema generation and migration capabilities.
PostGraphile is an automated tool that converts a PostgreSQL database schema into a fully functional GraphQL API. It serves as a GraphQL execution engine and schema orchestrator, utilizing database schema introspection to retrieve strongly typed metadata directly from PostgreSQL. The project features a modular system for composing and standardizing GraphQL schemas through plugins, which manage naming conventions and connections. It includes a PostgreSQL query builder that constructs dynamic, SQL-injection-proof queries using tagged template literals. The system employs a declarative query pl
Provides a standardized and type-safe query interface for connecting applications to PostgreSQL databases.
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
Connects to databases using standard PostgreSQL drivers and ORMs to maintain relational data workflows.
asyncpg is an asynchronous database driver and binary protocol client for PostgreSQL. It provides a non-blocking interface for executing SQL statements, streaming result sets, and managing data transfer between an application and a PostgreSQL database. The driver implements the PostgreSQL binary protocol directly to facilitate efficient data transfer and type conversion. It includes a connection pool to maintain and reuse open database connections, reducing the latency associated with repeated handshakes. The project covers a broad range of database integration capabilities, including atomic
Provides a high-performance asynchronous integration layer for PostgreSQL relational database connectivity.
PostgREST este un instrument care transformă automat o schemă de bază de date PostgreSQL într-un API RESTful gata de producție. Servește drept strat de acces la baza de date și motor de interogare care mapează cererile HTTP direct în interogări SQL, oferind o interfață low-code pentru executarea operațiunilor de creare, citire, actualizare și ștergere (CRUD) fără a necesita cod boilerplate manual. Proiectul se distinge prin utilizarea generării de API bazată pe schemă și descoperirea bazată pe metadate pentru a expune tabelele bazei de date ca resurse navigabile. Extinde capabilitățile CRUD standard prin executarea de SQL personalizat și șablonat, un sistem de middleware bazat pe plugin-uri pentru injectarea logicii de business și capacitatea de a încărca biblioteci partajate externe la runtime. Sistemul acoperă o gamă largă de capabilități, inclusiv interogarea complexă a datelor cu join-uri de tabele, agregări și căutare full-text. Implementează un framework de securitate cuprinzător care include autentificare bazată pe token, permisiuni granulare la nivel de tabel și gestionarea CORS. Caracteristicile operaționale suplimentare includ caching-ul local al rezultatelor, monitorizarea stării de sănătate a serverului și conectivitate pentru SQL distribuit și Amazon Redshift. Instalarea este suportată în mai multe medii, inclusiv ca binar independent sau prin șabloane de automatizare Docker Compose și Heroku.
Enables seamless integration between external applications and PostgreSQL or Redshift databases.