30 open-source projects similar to w3tecch/typeorm-seeding, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Typeorm Seeding alternative.
CodeIgniter is a PHP web framework built on the Model-View-Controller pattern, designed for building full-stack web applications. It provides a lightweight toolkit with minimal configuration, organizing application logic into controllers, models, and views for clean separation of concerns. The framework includes a fluent query builder for constructing SQL statements programmatically, PSR-4 autoloading with namespace mapping, and a service-based dependency injection container for managing shared class instances. The framework distinguishes itself through its comprehensive set of built-in tools
Drizzle ORM is a TypeScript-native database toolkit providing type-safe SQL query building, schema management, and automated migrations across PostgreSQL, MySQL, SQLite, and SingleStore.
Faker is a PHP fake data generator and testing utility used to produce realistic randomized values for populating databases and test applications. It serves as a localization library that generates data tailored to specific languages and regional formats, providing a framework for extending data generation through custom classes and domain-specific formatters. The library ensures repeatability in testing environments through deterministic random seeding. It includes mechanisms to control output quality, such as enforcing value uniqueness and simulating missing data by occasionally producing n
DoctrineBundle is a Symfony integration that configures and manages the Doctrine Object Relational Mapper and Database Abstraction Layer. It provides the fundamental tools required to map application objects to relational database tables and execute raw queries through a consistent programmatic interface. The project includes a database schema manager with command-line tools for synchronizing database structures with entity mappings and executing migrations. It also provides a database query debugger and activity debugging tools to track performance and execution details via a web-based inter
Faker is a PHP library for creating realistic synthetic data used for testing, prototyping, and populating database entities. It serves as a test data generator and localized mocking tool capable of producing synthetic names, addresses, and identifiers specific to various countries and languages. The library provides mechanisms to ensure data consistency and quality, including deterministic seeding to produce identical data sequences across executions and stateful uniqueness tracking to prevent duplicate values. It also supports probability-weighted optionality to simulate missing data and cu
Atlas is a SQL database schema management tool and database infrastructure as code framework. It provides a declarative database migration engine that computes the difference between a desired schema state and the current database state to automatically generate the necessary SQL for transitions. The project distinguishes itself through a comprehensive suite of analysis and visualization tools, including a database schema linter that detects destructive changes and data loss risks. It also features a SQL schema visualization tool capable of generating entity-relationship diagrams from extract
Phinx is a PHP database migration and versioning tool used to track and deploy structural changes to database schemas across different environments. It functions as a version control system for databases, allowing structural modifications to be defined and managed through PHP code. The tool provides mechanisms for database schema versioning and rollback, enabling users to undo previously applied migrations and restore a database to a specific previous state. Additionally, it includes a database seeder for populating tables with initial baseline records or dummy data. The system operates as a
SQLite.swift is a type-safe Swift wrapper and object-relational mapping layer that provides a bridge for interacting with SQLite databases. It functions as a database driver that allows for embedded database management and local data persistence within Swift applications. The project distinguishes itself through a type-safe expression builder that verifies SQL statement syntax and intent at compile time. It includes specialized support for high-performance text matching via full-text search integration and provides mechanisms for securing sensitive data through database encryption. The libra
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
This project is a software engineering style guide and a curated collection of architectural patterns and coding standards. It provides a multi-language coding standard to ensure maintainable software across Ruby, Python, JavaScript, and Swift. The project establishes a development workflow specification for version control, continuous integration, and peer review to maintain a linear project history. It also includes a web accessibility framework based on ARIA and WCAG standards, using design tokens and semantic HTML patterns to build inclusive interfaces. The guides cover a broad range of
InsForge is a backend-as-a-service platform that provides an integrated suite of tools for managing relational databases, identity provision, object storage, and serverless compute. It functions as an open-source identity provider and a PostgreSQL database manager featuring integrated vector storage and row-level security. The platform serves as an LLM orchestration gateway, offering a unified endpoint to route requests across various AI providers through an OpenAI-compatible interface. It enables AI-driven application generation and connects AI agents to backend resources using a standardize
Goravel is a full-featured development scaffold and framework for building web applications, REST APIs, and gRPC services using the Go programming language. It implements a model-view-controller architecture and provides a comprehensive toolkit for high-performance remote procedure call servers and clients. The framework is distinguished by its extensive integrated ecosystem, which includes a fluent object-relational mapper for database management and a dedicated command-line interface toolkit for administrative automation and project scaffolding. It features a driver-based service abstractio
Wasp is a declarative full-stack web framework that enables developers to build and deploy applications by defining their architecture in a centralized configuration. By using a high-level specification, the framework automates the orchestration of frontend, backend, and database components, ensuring that infrastructure concerns like routing, authentication, and data modeling are handled consistently across the entire stack. The framework distinguishes itself through its compiler-driven approach, which translates declarative configurations into cohesive, production-ready codebases. It provide
This project is a database migration framework designed to manage and execute versioned schema changes across multiple relational and document-oriented database systems. It functions as a utility for tracking and applying structural modifications through sequential migration scripts, ensuring that database schemas remain consistent across development, testing, and production environments. The framework utilizes a driver-based abstraction layer that decouples migration logic from specific database engines, allowing for a unified interface when performing schema operations. It maintains state t
This project is a foundational server template built with NestJS designed for creating REST APIs and enterprise backend environments. It provides a pre-configured structure that integrates database connectivity, authentication, and common API services. The boilerplate includes a security system utilizing JSON Web Tokens and role-based access control to manage user sessions and restrict resource access. It supports internationalization for serving content in multiple languages and provides a containerized environment using Docker for consistent deployment. The framework covers a broad range o
cookiecutter-flask is a project scaffolding tool used for bootstrapping Flask web applications. It uses a templating engine to generate a standardized directory structure and configuration files based on user input. The project implements the application factory pattern and blueprint-based modularization to organize application logic and ensure scalability. It integrates secure user authentication systems featuring password hashing, registration forms, and session management. The toolkit covers database schema management through versioned migration scripts and containerization for environmen
Entity Framework Core is an object-relational mapper that enables developers to interact with database systems using strongly-typed code. It serves as a comprehensive data access framework, providing a unified interface for mapping application objects to relational and non-relational database schemas while managing the lifecycle of data operations through a central context. The project distinguishes itself through a provider-based architecture that decouples core data access logic from specific database engines, allowing for consistent interaction across diverse storage systems. It features a
This project provides a comprehensive collection of standardized conventions and architectural patterns designed to maintain consistent code quality, secure workflows, and project stability. It serves as a structured guide for implementing engineering processes, including automated testing, dependency management, and environment configuration across diverse software development lifecycles. The framework distinguishes itself by offering a unified approach to version control and interface design. It enforces linear development practices through standardized commit messages and branch protection
Warehouse is a Python Package Index implementation and distributed package registry. It serves as a central repository and web application for hosting, discovering, and distributing versioned Python software packages via a standardized API. The system functions as a multi-tenant package manager with a server implementation compatible with Python Package Index standards. It provides specialized infrastructure for software package hosting and an index for clients to discover and download specific library versions. The project incorporates comprehensive security and access control, including mu
Wagtail is an open-source content management system built on the Django web framework. It provides a structured, tree-based approach to content modeling, allowing developers to define custom page types and reusable content components that are managed through a highly customizable administrative interface. The platform distinguishes itself through its flexible, block-based content composition system, which enables editors to assemble complex page layouts dynamically. It also offers robust support for multi-site and multi-lingual environments, allowing organizations to manage distinct websites
Faker is a Ruby library used to generate randomized, realistic placeholder information for testing and development. It produces synthetic data to populate databases and test application logic without the use of real user information. The library provides localized data generation, using region-specific formats and strings for names, addresses, and phone numbers. It supports deterministic output through seedable random number generation, ensuring that sequences of fake data can be repeated across different test runs. The generator covers a wide range of domains, including personal identity, f
Bogus is a fake data generator for .NET applications, including C#, F#, and VB.NET. It provides a deterministic mock data engine and an object configuration mapper to produce realistic profiles, addresses, and financial records. The library differentiates itself through a localization data provider that generates region-specific identifiers across various international languages and locales. It ensures reproducibility across executions by using seed values to control the sequence of generated data. The project covers wide-ranging data synthesis capabilities, including the generation of netwo
FactoryBot is a Ruby library for generating complex test objects and their associations, serving as a dynamic alternative to static fixture files. It provides a system for defining reusable data blueprints with default attributes and inheritance to produce consistent test records. The tool distinguishes itself through flexible instantiation strategies, allowing users to control whether objects are persisted to a database, built in memory, or created as stubs. It manages data uniqueness via a sequence generator for incremental values and uses traits to bundle shared attributes into reusable mo
gofakeit is a Go library for creating realistic synthetic datasets and populating Go structs with mock information. It functions as a deterministic data generator, allowing for seedable random number generation to ensure reproducible datasets for software testing. The project distinguishes itself by providing a mock data API server that exposes generation functions as HTTP endpoints and a synthetic dataset exporter for producing files in CSV, JSON, and XML formats. It also includes a command-line interface for generating mock data directly from the terminal. The library covers a wide array o
Faker is a synthetic data generation library used to create realistic but fake information, such as names, addresses, and phone numbers, for software testing and database population. It functions as a tool for producing synthetic test data to fill development databases with records that simulate production environments. The library provides localized data generation, allowing synthetic information to be customized for specific geographic regions and language formats. It also includes a mechanism for unique value enforcement to prevent the repetition of generated data by tracking and rejecting
Mimesis is a Python synthetic data generator used to create realistic fake datasets and mock data for software testing and development. It functions as a schema-based dataset generator capable of producing structured records and relational datasets, while also serving as a production data anonymizer to replace sensitive information with synthetic values. The library distinguishes itself through comprehensive multilingual support, allowing for the generation of locale-specific information to simulate regional user profiles. It ensures reproducibility through deterministic data generation using
Mock is a JavaScript API mocking tool and network request interceptor designed to decouple front-end development from back-end progress. It functions as an API simulation tool and mock data generator, allowing developers to build user interfaces and high-fidelity prototypes by mimicking the request and response cycle without a live server. The system provides a mechanism for intercepting outgoing HTTP calls and returning simulated data. It enables front-end prototyping by generating synthetic datasets to validate application behavior during automated testing cycles and development. Capabilit
JSONPlaceholder is a REST API mock server and JSON mocking service that provides a hosted frontend development sandbox. It functions as a fake backend that returns predefined JSON responses to simulate a REST API for development and testing. The service supports cross-origin resource sharing, allowing API integrations to be tested from different browser domains. It enables the simulation of CRUD operations and the retrieval of mock data without requiring a live database. The system maps URL patterns to a static JSON-based data store and handles requests statelessly. It includes capabilities
Java-faker is a synthetic data generator and mock data library for Java applications. It provides utilities to create randomized, believable fake records such as names and addresses to populate test environments and verify application logic without using real user information. The library specializes in localized data generation, producing synthetic content tailored to specific languages and regional formats. This allows for the verification of application accuracy across different global locales. The tool covers broad capabilities for automated testing mocking, including the generation of m
Faker is a library for generating synthetic data and mock information to populate development and testing environments. It provides a structured way to create realistic values such as names, addresses, and dates, allowing developers to validate application logic and visualize user interfaces without relying on production data. The library distinguishes itself through its support for deterministic generation, which uses fixed seeds to ensure that data sequences remain identical across multiple test executions. It also features a modular architecture that separates generation logic into indepen