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
No developer insights available.
Contributors
- jeny-amatya-qed : 48
- mattyboisterous : 10
- g-morton : 5
- sitestudio : 3