Primary languages: JavaScript
3 files
44 lines of code
Repository last updated: 07 July 2025
Overview
DataForge: Synthetic entity library
DataForge is a modular, privacy-safe library of synthetic entity data built to support development, testing, and integration.
It delivers realistic, internally consistent, and extensible datasets generated from a mix of real-world scenarios — so teams can hydrate their products and systems without needing real or production-masked data.
Why use DataForge?
Populate dev/test systems with clean, structured data. Eliminate compliance and security risks of using real data. Reuse common entity structures across multiple products. Ideal for test automation, CI/CD, and integration testing.
What’s in this repository?
This repo contains pre-generated datasets designed for reuse and extension.
/data folder includes:
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Schools & Music Centres
Structured organisation data with campus and program detail. -
Personas
Multi-role entities including:- Education officers
- Enrollers
- Examiners
- Parents -…
Product canvas
Product artefacts for project teams and executives, ensuring clear strategy, informed decision-making, and effective delivery. More
Vision canvas - Defines the product’s purpose, goals, and intended impact, aligning stakeholders and providing clarity for customers.
Source
Value canvas - Evaluates and refines the product’s value proposition to ensure it resonates with customer needs and expectations.
Source
Source scan
No source scan details available
Developer insights
Contributors
- jeny-amatya-qed : 48
- mattyboisterous : 10
- g-morton : 5
- sitestudio : 3