The Data Model Generator is a utility library and CLI tool designed to automatically generate TypeScript interfaces based on various data sources. It simplifies the process of creating and maintaining type-safe data models in TypeScript, which improves co
Determine if a function is a native generator function.
A tiny (118 bytes), secure URL-friendly unique string ID generator
Contentful Content Types (TS Definitions) Generator
A function that returns the normally hidden `GeneratorFunction` constructor
Prisma generator for model factories
The easiest way to generate custom Apple Wallet passes in Node.js
Adaptation project allows you to create an app variant for an existing SAP Fiori elements-based or SAPUI5 freestyle application, without changing the original application.
Turns an AST into code.
Generate artificial backtrace by walking arguments.callee.caller chain
Generates models for TypeORM from existing databases.
Turn async generator functions into ES2015 generators
A function that returns the normally hidden `AsyncGeneratorFunction` constructor
Turn async functions into ES2015 generators
Helper function to remap async functions to generators
Prisma DBML Generator
This library contains auto generated Mongo (Mongoose.js) models that correspond to the QDM (Quality Data Model) specification.
Interactive API generator.
Copy a descriptor from object A to object B
Rails-inspired generator system that provides scaffolding for your apps
Check if something is a generator function
This package provides the core functions to define the data models
A npm package wrapper for OpenAPI Generator (https://github.com/OpenAPITools/openapi-generator), generates which API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
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Generate some sensical test data for your models.
Yarrow is a tool for generating well structured documentation from a variety of input sources.
Gem for generating Canvas models and migrations and syncing data from Canvas
Test Dummy allows you to define how to fake models automatically so that you can use dummy data for testing instead of fixtures. Dummy models are always generated using the current schema and don't need to me migrated like fixtures.
Generates files for entities defined in a Core Data model. Inspired by mogenerator. For each entity in the Core Data model, moblues will create two files: a machine file and a human file. The machine file will be overwritten each time and should not contain any modifications. Moblues will only create the human file if it doesn't exist.
Uses dummy to generate consistent fake data for your models (including associations) and provides a rake task to import it into the database
This Ruby on Rails acts_as extension provides the capabilities for creating a nice url based on an attribute of the current object. You can set / unset the object id in front of the URL and choose the object attribute to use to generate the URL.
A program that generates Rails files from a data model
Replace all personal data from your models with faker-generated ones.
Given a model and constraints in json, test data is generated based on allpairs methodology and constraints applied to prune the data set
A gem that helps make swift data models publicly accessible, and generate default initializers for structs
DSL for modelling XML structure along with logic-based validation rules / constraints. Supports SMT-solver based generation of sample valid XML documents.
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