23 Repos
Utilities for organizing and namespacing database tables to prevent identifier collisions.
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Explore 23 awesome GitHub repositories matching data & databases · Database Schema Management. Refine with filters or upvote what's useful.
ToolJet is a low-code development platform designed for building and deploying internal business applications. It provides a visual interface where users can drag and drop components to design layouts, connect to various data sources, and execute custom logic. The platform is built on a containerized architecture, ensuring that applications remain portable and consistent across different cloud and server environments. The platform distinguishes itself through integrated artificial intelligence capabilities that assist in the generation of user interfaces, database schemas, and data queries fr
The platform downloads the structure of a database table as a file to preserve or share definitions for future use.
Sequelize is an object-relational mapping library that provides a unified interface for managing relational data through code. By implementing the Active Record pattern, it maps database tables to application objects, allowing developers to perform standard create, read, update, and delete operations using high-level method calls. The library abstracts complex database interactions by translating these calls into optimized, engine-specific SQL statements, ensuring consistent behavior across different database systems. The project distinguishes itself through a comprehensive suite of tools for
Sequelize supports organizing tables within specific namespaces using native identifier quoting to prevent naming conflicts.
Vapor is a comprehensive server-side web framework designed for building scalable, high-performance applications and APIs in Swift. It provides a non-blocking, event-loop-based runtime that manages concurrent task processing, background job queues, and asynchronous request handling. The framework is built around a dependency injection container that manages the lifecycle and resolution of services, configurations, and database connections throughout the request pipeline. The framework distinguishes itself through a protocol-oriented design that emphasizes type safety across all layers of the
Manage database table or collection lifecycles by creating, updating, or deleting schemas, including support for ignoring existing tables during creation to prevent errors.
Gel is an object-relational database system that models data as a graph of interconnected objects. By utilizing a strongly typed schema, it enables complex relational queries and polymorphic data structures without the need for traditional join tables. The system integrates native vector storage and similarity search operators, allowing it to function as both a relational and a vector database for semantic data retrieval. The platform distinguishes itself through a comprehensive suite of developer-centric automation tools. It features a declarative migration system that tracks and versions sc
Defines and evolves complex data structures with automated migrations and type-safe definitions for consistent application development.
fmdb is an object-oriented SQLite database library and persistence layer for native macOS and iOS environments. It provides an Objective-C wrapper that encapsulates the low-level C API, allowing applications to manage local relational data storage and embedded database connections through a high-level interface. The library focuses on thread-safe database access by synchronizing operations across multiple threads using serialized queues to prevent data corruption and race conditions. It includes specialized capabilities for secure local storage, such as database encryption and the management
Retrieves the structure of tables and columns to verify the existence of database objects.
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
Retrieves strongly typed details of database fields by introspecting the PostgreSQL schema.
Peewee is a SQL object-relational mapper and query builder that provides an object-oriented interface for mapping application classes to relational database tables. It functions as a relational database toolkit for managing schemas, executing migrations, and handling complex table relationships. The project distinguishes itself by providing an asyncio database driver for non-blocking database operations, ensuring event loop responsiveness. It also supports semi-structured data storage, allowing the storage and querying of flexible JSON documents within traditional relational database systems.
Analyzes existing database layouts to dynamically create corresponding model classes.
This project is a GraphQL implementation for Go, providing a complete suite for building GraphQL servers. It includes a schema engine for defining types, a query parser to convert strings into abstract syntax trees, and an execution engine that resolves fields against a defined schema to return structured data. The library distinguishes itself through reflection-based type mapping, allowing object definitions and arguments to be derived directly from native Go structs. It also supports the execution of real-time data streaming via GraphQL subscriptions and provides an extensible execution pip
Provides meta-fields and types that allow clients to query the server for its schema structure.
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
Provides capabilities to create, modify, and delete database tables and indexes to organize stored data.
This project is a SQL database abstraction layer that provides a consistent object-oriented interface for interacting with multiple relational database systems. It includes a driver wrapper to standardize connections and result sets, a fluent query builder for constructing portable SQL statements, and a type mapper for converting database-specific data types into native application types and vice versa. The library enables programmatic schema management through a schema manager that can introspect database metadata, model structures as objects, and generate the SQL required to migrate between
Retrieves detailed metadata about tables, columns, and indexes to create an in-memory representation of the schema.
Kotlin SQL Framework
Manages database schemas programmatically in Kotlin code with transactional lifecycle operations.
Ibis is a portable Python dataframe library and multi-backend query engine that provides a unified interface for executing data transformations across diverse compute engines. It functions as a Python SQL expression compiler and dialect transpiler, allowing users to define data logic once and execute it across cloud warehouses, embedded databases, and distributed clusters without rewriting code. The project distinguishes itself through a database backend abstraction that decouples transformation logic from the underlying execution engine. It enables polyglot data workflows by mixing raw SQL s
Provides utilities to create, drop, list, and rename catalogs, databases, and tables.
pgloader is a command-line tool that automates the migration of data and schema from various source databases and file formats into PostgreSQL. It combines schema discovery, parallel data pipelines, and type casting into a single, declarative workflow, using PostgreSQL's COPY protocol for high-throughput bulk loading. The tool distinguishes itself by compiling a dedicated command language into concurrent reader-writer pipelines that handle schema introspection, data transformation, and error-resilient batch processing. It supports migrating entire databases from MySQL, MS SQL, SQLite, and Pos
Connects to live source databases to introspect metadata, then generates target schema DDL and transformation rules programmatically.
GraphQL Editor is a collaborative workspace platform for designing, editing, and managing GraphQL schemas. It provides an interactive graph-based visual editor that lets teams create and explore schemas without writing code, alongside a full-featured Monaco text IDE with real-time syntax validation. The platform supports AI-powered schema generation from natural language prompts, federated schema composition that visualizes type merging across subgraphs, and AST-level schema comparison that highlights structural differences between versions. The platform distinguishes itself through its bidir
Imports GraphQL schemas from remote URLs via introspection with optional read-only synchronization.
Sequel is a relational database toolkit for Ruby that provides object-relational mapping, a fluent SQL query builder, and schema migration capabilities. It maps database tables to Ruby classes with support for associations, validations, lifecycle hooks, and eager loading, offering a comprehensive ORM layer for building data-centric applications. Sequel distinguishes itself through a plugin-based extension architecture that allows composable customization of models, databases, and datasets without relying on deep inheritance hierarchies. It includes a thread-safe connection pool with support f
Provides schema introspection to query database system catalogs for table, column, and index metadata.
Rainfrog is a terminal-based database client that connects to multiple database engines, combining schema browsing, interactive SQL query execution, and inline data editing into a single terminal interface. It provides a tree navigator for exploring tables, columns, and indexes, and an inline cell editor that automatically constructs and executes the necessary UPDATE statements when a cell value is changed. The application also supports modal Vim-style keyboard shortcuts for cursor movement and editing, making it usable entirely from the keyboard. Query results are fetched in chunks and pagin
Fetches database metadata at connect time and caches it in memory for fast schema tree navigation.
Infinity ist eine verteilte Vektordatenbank und ein multimodaler Vektorspeicher, der darauf ausgelegt ist, großskalige Datensätze für Retrieval und Ähnlichkeitssuche zu verwalten. Er dient als Backend für Large-Language-Model-Anwendungen und Retrieval-Augmented-Generation-Pipelines, indem er dichte Vektoren, dünnbesetzte Vektoren und Volltextdaten speichert und abruft. Das System fungiert als hybride Suchmaschine, die Vektor-Embeddings und Volltextsuche mit Reranking-Algorithmen kombiniert, um die relevantesten Dokumente zu identifizieren. Es unterstützt die Speicherung multimodaler Daten und ermöglicht die Pflege verschiedener Datentypen, einschließlich Tensoren, Strings und numerischer Werte, innerhalb einer einzigen Umgebung. Die Datenbank bietet Funktionen zur Verwaltung von Datenbankschemata und Datensätzen, einschließlich Datenimport, -export und strukturierter Abfragen. Sie enthält Tools für das Index-Management und die Speicheroptimierung und bietet Zustandswiederherstellung durch System- oder Tabellen-Snapshots. Die Datenbank kann als einzelne Binärdatei oder über Docker bereitgestellt werden und ist über eine HTTP-API und ein Python-SDK zugänglich.
Provides utilities for defining and managing database schemas through column and index definitions.
Dieses Projekt ist eine Full-Stack-Monorepo-Vorlage und ein Node.js-GraphQL-API-Template. Es bietet ein Seed-Projekt, das eine Schema-First-GraphQL-API, eine PostgreSQL-Datenbank und ein React-Frontend innerhalb eines einzigen Repositorys integriert, um Typen zwischen Backend und Benutzeroberfläche zu teilen. Die Architektur beinhaltet einen Serverless-Wrapper für Cloud-Bereitstellung und automatische Skalierung. Sie implementiert eine Request-Batching-Ebene, um die Datenbankleistung durch die Vermeidung des N+1-Abfrageproblems zu optimieren. Das Projekt deckt Datenbankmanagement durch migrationsbasierte Schema-Versionierung und Seed-Dateien ab. Es enthält zudem Funktionen für die Integration von Benutzeridentitäten, einschließlich Authentifizierung, Autorisierung und berechtigungsbasierter Zugriffskontrolle.
Provides migration-based schema versioning and seed files to ensure consistent data structures across environments.
Apollo Kotlin is a strongly-typed GraphQL client and code generation library designed for Kotlin and JVM applications. It functions as a comprehensive development tool that transforms GraphQL schema definitions and query documents into type-safe models during the build process, ensuring that data access errors are identified at compile time rather than at runtime. The project distinguishes itself through its multiplatform runtime abstraction, which allows developers to share data fetching and caching logic across Android, iOS, and desktop environments. It provides a normalized local caching s
Examines database structures at runtime to build custom operations that handle complex requests beyond the scope of existing predefined tools.
Jet is a schema-driven code generation tool and type-safe SQL builder for Go. It introspects database schemas to automatically generate builders and data models, enabling compile-time type checking for table and column references to prevent runtime errors. The project distinguishes itself through a fluent interface that mirrors native SQL syntax, allowing for the orchestration of complex queries including common table expressions, recursive queries, and nested JSON structures. It further optimizes data retrieval by binding query outputs directly into generated Go structures or raw byte slices
Introspects database schemas to retrieve table and column structures for generating type-safe code.