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Tools for organizing and mapping application entities to specific database schemas and namespaces.
Distinguishing note: Focuses on logical schema organization rather than physical table creation or migration.
Explore 80 awesome GitHub repositories matching data & databases ยท Database Schema Mapping. Refine with filters or upvote what's useful.
TypeORM is an object-relational mapper for TypeScript and JavaScript that bridges the gap between object-oriented application code and relational database tables. It provides a comprehensive data persistence layer that allows developers to define database entities using class decorators or configuration objects, enabling seamless interaction with data through object-oriented patterns. The project distinguishes itself through a flexible architecture that supports both the data mapper and repository patterns, alongside a fluent query builder that translates high-level method calls into platform
TypeORM maps entities to different database schemas to structure data and perform cross-schema queries within a single connection.
React-admin is a framework for building data-driven administrative interfaces that connect to REST or GraphQL backends. It provides a comprehensive suite of tools for managing the full lifecycle of administrative applications, including resource-oriented routing, declarative form scaffolding, and context-driven state management. By utilizing a modular adapter-based architecture, the framework abstracts backend communication, allowing developers to build consistent CRUD interfaces that handle data fetching, authentication, and synchronization automatically. The project distinguishes itself thr
Retrieves the current record from context to provide data to child components for rendering.
Dapper is a high-performance micro-ORM and SQL object mapper for .NET. It functions as an ADO.NET extension library that adds data mapping capabilities directly to database connections, allowing SQL query results to be transformed into typed objects. The project prioritizes execution speed and low memory overhead by using intermediate language generation to map database columns to object properties. It further optimizes performance through the use of concurrent caching for mapping functions and literal value injection to improve database execution plans. The library covers a broad range of d
Determines the target object type for each row individually based on specific column values during parsing.
Dapper is a lightweight object-relational mapper for .NET that functions as a high-performance data access library. It operates by extending standard database connection interfaces, allowing developers to execute raw SQL queries while automating the mapping of database results to strongly-typed objects. The library distinguishes itself through its use of runtime code generation, which creates high-performance instructions to map database rows to object properties with minimal overhead. It provides flexible data retrieval options, supporting both memory-buffered loading for speed and row-by-ro
Automatically projects returned database rows into strongly typed objects for easier data handling.
This project is a full stack web development framework and GraphQL API framework. It provides the tooling to define data schemas and map resolver functions to handle application data requests, ensuring consistency between the server API and the client consumption layer. The system includes a GraphQL schema validator and a JavaScript dependency manager. These tools enforce formal data models and validate that all project workspaces use identical dependency versions to prevent runtime conflicts. The framework covers GraphQL API development, monorepo dependency management, and the auditing of p
Maps formal data structures to specific resolver functions to handle individual application data requests.
Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data sources. It functions as a data federation platform and massively parallel processing engine, allowing users to execute interactive queries against diverse storage systems without requiring data migration. By mapping remote metadata and structures to a unified relational namespace, it enables seamless cross-platform analysis through a standard SQL interface. The engine distinguishes itself through a pluggable connector architecture and a shared-nothing distributed processing
Retrieves values from relative rows within a partition.
Prisma is a type-safe database object-relational mapper that uses a declarative schema to map data models to relational and document databases. It provides a unified toolkit for data access, combining a database driver with tools for schema management and record manipulation. The project features a multi-database driver that standardizes interactions across PostgreSQL, MySQL, and MongoDB. It includes a system for tracking and applying structural schema migrations across different environments and a graphical user interface for browsing and editing database records. The system ensures data in
Translates high-level data modeling definitions into physical database tables or collections across different storage engines.
WrenAI is a platform designed to enable natural language interaction with relational and analytical databases. By combining a text-to-SQL engine with semantic data modeling, it allows users to explore structured data through plain language questions, removing the requirement for manual code generation. The system functions by grounding natural language requests in a predefined business logic layer rather than raw database schemas. This semantic approach, supported by context-aware prompt engineering, ensures that generated queries remain consistent and accurate across an organization. The pla
Maps complex relational database structures into business-friendly definitions for consistent data interpretation.
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
Transforms database records into dictionaries where column names serve as keys for retrieved values.
๐ฎ Graphile's Crystal Monorepo; home to Grafast, PostGraphile, pg-introspection, pg-sql2 and much more!
An extensible toolkit that generates a real-time GraphQL API from a PostgreSQL database schema with plugin support and incremental delivery.
Debezium is a distributed change data capture platform that streams row-level database modifications as real-time events. By parsing database transaction logs, the system broadcasts structural and data changes to message brokers, enabling reactive processing and data integration across distributed architectures. The platform utilizes log-based capture to extract modifications directly from transaction logs, ensuring minimal impact on source system performance while maintaining the original commit order of operations. It employs database-specific connector adapters to translate proprietary bin
Parses structural statements and transaction logs to maintain an accurate representation of database models.
This project is a full stack project generator and boilerplate for the MEAN stack, combining MongoDB, Express, Angular, and Node.js. It provides a pre-configured architecture and scaffolding tools to bootstrap JavaScript applications with a database, backend server, and frontend framework. The project includes a Dockerized application template to ensure consistent deployment and local development across different hardware configurations. It features a Node.js API scaffold that integrates token-based security, request validation, and interactive API documentation. The codebase covers broader
Maps application objects to MongoDB collections for flexible, document-based data storage.
Eureka is a framework for building structured data-entry interfaces and forms in Swift for iOS applications. It provides a declarative UI layout engine and a dynamic input interface to define fields, sections, and row layouts through a configuration layer. The system distinguishes itself through dynamic interface management, including conditional visibility and interaction control that reacts to real-time user changes. It supports complex input behaviors such as expandable row rendering, multivalued field management for inserting or deleting similar rows, and custom keyboard navigation that s
Supports expandable row rendering to toggle the visibility of nested content within forms.
Perspective is a columnar data analytics engine and high-performance visualization component powered by WebAssembly. It provides a system for analyzing and visualizing large or streaming datasets through interactive data grids and charts, utilizing a compiled binary to achieve near-native performance within the browser. The project distinguishes itself through a WebSocket-based data streaming interface and deep Apache Arrow integration, which minimize memory overhead when synchronizing tables between servers and clients. It acts as a remote query proxy capable of translating visualization con
Restricts dataset output to rows meeting specific criteria across multiple columns using boolean logical operators.
PRQL is a functional, modular data transformation language that serves as a compiler for relational data pipelines. It allows developers to write expressive, pipelined queries that are translated into standard SQL dialects. By abstracting complex data manipulation into a readable, sequential syntax, the project enables the construction of maintainable workflows that remain independent of specific database engines. The language distinguishes itself through a robust compilation infrastructure that performs type validation and relational algebra analysis before generating target-specific code. I
Restricts rows in a relation by applying conditional logic that evaluates to true or false.
Cassandra is a distributed NoSQL database and wide-column store designed for high availability and linear scalability. It functions as a fault-tolerant distributed system that utilizes an LSM-tree storage engine to optimize write throughput and manage massive datasets. The system is a CQL-compliant database, using a structured query language to manage and retrieve tabular data stored across multiple nodes. It organizes information into rows and columns based on a flexible schema and primary keys. The project provides capabilities for horizontal database scaling, distributed data partitioning
Organizes information into rows and columns using primary keys and a structured query language.
Nhost is an open-source backend as a service that provides a managed PostgreSQL database, authentication, and file storage accessible through a unified GraphQL API. It functions as a backend infrastructure orchestrator, enabling the deployment and management of full-stack environments using containerization and command-line automation. The platform distinguishes itself by automating the transformation of relational database tables into a secure GraphQL API and providing an integrated identity provider that supports passwords, magic links, and OAuth. It also includes a serverless function runt
Automatically transforms relational database tables into a GraphQL API by mapping the database schema to a query engine.
A polyglot web converter.
Generates React components directly from GraphQL schema definitions.
VisiData is a terminal-based interactive data analysis tool and browser designed for exploring, filtering, and sorting large tabular datasets. It functions as a structured data inspector that loads and flattens complex formats like JSON, XML, and PCAP into interactive sheets, as well as a terminal file manager for navigating directories and performing staged filesystem operations. The project distinguishes itself by rendering data visualizations, such as scatter plots and histograms, directly in the terminal using Unicode Braille characters. It provides a Python-based data wrangling environme
Identifies rows based on Python expressions or cell values to target specific subsets for operations.
This project is a metadata query engine and indexer for markdown files, designed to transform YAML frontmatter and inline fields into dynamic tables and lists. It provides a background process that extracts tags and custom fields into a searchable database, enabling the automated indexing of notes. The system is distinguished by its dual approach to data retrieval: a dedicated query language for SQL-like filtering and grouping, and a JavaScript data API. This API allows for programmatic metadata extraction and the creation of custom views and extensions using TypeScript typings. Its broader
Dynamically determines the target object type for metadata fields to enable typed sorting.