nicolas-hbt/pygraft

Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips

51
/ 100
Established

This tool helps researchers and practitioners create realistic, artificial datasets of knowledge graphs and their underlying structures (schemas). You input desired characteristics using a configuration file, and it outputs the generated schema, the knowledge graph, or both. This is ideal for those needing to test algorithms or systems when real-world data is scarce or sensitive.

699 stars.

Use this if you need to generate high-quality, synthetic knowledge graphs and schemas for research, testing, or development purposes without relying on confidential or unavailable real-world data.

Not ideal if you need to work with existing, already defined knowledge graphs or if your primary goal is to analyze or extract information from real-world data, as this tool focuses purely on synthetic generation.

knowledge-graph-research synthetic-data-generation semantic-web-prototyping ontology-engineering data-privacy-testing
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

699

Forks

48

Language

Python

License

MIT

Last pushed

Jan 26, 2026

Commits (30d)

0

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