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Storing cluster metadata in PostgreSQL for production deployments that integrate with existing database infrastructure.
Distinct from PostgreSQL Vector Stores: Distinct from PostgreSQL Vector Stores: focuses on using PostgreSQL as a metadata store backend, not vector storage.
Explore 9 awesome GitHub repositories matching data & databases · PostgreSQL Metadata Stores. Refine with filters or upvote what's useful.
GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without
Stores cluster metadata in PostgreSQL for production deployments.
Lamp Cloud is a multi-tenant SaaS backend framework built on Java and Spring Cloud that provides a complete foundation for building enterprise-grade administration systems. Its core identity centers on supporting multiple tenant isolation strategies—including database-per-tenant, schema-per-tenant, and shared-table modes—that can be switched without altering business code, alongside a role-based access control system enforced at the gateway layer across all microservices. The framework distinguishes itself through comprehensive tenant lifecycle management tools that allow creating, configurin
Uploads and retrieves files from FastDFS, MinIO, or other storage systems through a unified interface.
Weblate is an open-source web-based translation management system that provides a collaborative platform for teams to review, suggest, and approve translations in real time. It functions as a continuous localization platform, automatically synchronizing translations with source code changes in version control repositories, and can be deployed either as a self-hosted server or through a managed cloud hosting service. The system integrates directly with Git hosting platforms like GitHub, GitLab, and Bitbucket, storing all translations in version control with individual translator attribution re
Uses Django ORM with PostgreSQL and trigram extensions for translation data storage.
Tortoise ORM is an asynchronous object-relational mapper for Python that mirrors Django's model and queryset API while running on asyncio. It defines database tables as Python classes with typed fields and supports foreign key, many-to-many, and one-to-one relations, providing a chainable query API for filtering, annotating, grouping, and prefetching related objects without blocking the event loop. The ORM includes a built-in migration engine that detects model changes, generates migration files, and applies or reverts schema changes through a command-line tool. It connects to PostgreSQL, MyS
Provides a Django-style ORM designed for async frameworks, enabling familiar data access in ASGI applications.
wger is an open-source web application for fitness tracking, workout planning, and nutrition management. It provides a self-hosted platform where users can design weekly workout routines from a built-in exercise library, log their training progress, and plan daily meals using a food database with automatic nutritional calculations. The application supports multi-user accounts with credential-based login, passkey authentication, and third-party sign-in through OAuth providers. The platform includes a documented REST API that enables programmatic access to workout logs, meal plans, and user dat
Uses Django's ORM to map Python objects to relational database tables with migration support.
CKAN is an open-source data management platform that provides the foundation for building data portals. It supports the full lifecycle of datasets—from creation and organization to publishing, cataloging with faceted search, and interactive data visualization—all through a web interface. The platform is built on a modular architecture that includes a plugin-based extensibility system, a harvesting framework for importing metadata from external sources, and a standardized RESTful JSON API for programmatic access to datasets and metadata. The web interface is rendered using the Jinja2 templatin
Manages uploaded files in configurable storage (local filesystem or S3) while storing metadata in PostgreSQL.
Django Silk is a profiling and inspection toolset for Django applications designed to capture SQL queries, HTTP request data, and execution timing for diagnostics. It functions as a performance profiler and debugging middleware that records runtime execution data to provide a comprehensive overview of application behavior. The system includes a database profiler for identifying slow operations through detailed timing data and an HTTP request inspector for reviewing headers, bodies, and network traffic via a web interface. It allows for the reproduction of specific server requests through gene
Stores all captured profiling records as Django model instances in a relational database.
Athens is a Go module proxy server and dependency cache that provides a persistent storage system for Go dependencies. It acts as a mirror and datastore to ensure reproducible build environments by storing immutable copies of external packages, protecting against upstream deletions or outages. The project distinguishes itself by serving as a secure gateway for private Go module hosting, utilizing authentication tokens, SSH keys, and GitHub Apps to retrieve dependencies from private version control systems. It further enables software dependency compliance through request filtering and checksu
Supports multiple configurable backends for storing downloaded module files, including S3 and local filesystems.
Bazarr este un sistem automat de gestionare și descărcare a subtitrărilor, conceput pentru a descoperi, achiziționa și sincroniza subtitrări pentru filme și emisiuni TV. Funcționează ca un companion pentru bibliotecile media care se integrează cu manageri și servere media externe prin API-uri pentru a urmări subtitrările lipsă și a asigura actualizarea bibliotecilor. Proiectul se distinge prin procesarea avansată a conținutului media, folosind transcrierea audio prin rețele neuronale pentru a genera subtitrări din piste audio sau pentru a traduce dialogurile străine în engleză. De asemenea, dispune de sincronizare bazată pe audio pentru a alinia sincronizarea subtitrărilor cu conținutul video și poate actualiza automat subtitrările existente atunci când sunt descoperite versiuni de calitate superioară. Sistemul acoperă o gamă largă de capabilități de automatizare, inclusiv gestionarea profilurilor de limbă, programarea căutărilor adaptive prin mai mulți furnizori de subtitrări și declanșatoare de tip webhook bazate pe evenimente. Suportă persistența datelor prin SQLite sau PostgreSQL și include instrumente pentru traducerea mapării căilor pentru a localiza fișierele media pe diferite sisteme gazdă sau containere. Aplicația poate fi implementată ca serviciu de fundal pe Windows sau prin manageri de inițializare a sistemului pe alte platforme, cu suport pentru configurarea proxy-ului invers pentru acces la distanță.
Utilizes a PostgreSQL database to store subtitle history and library state for improved scalability.