The design of OntoPop is guided by the key principles of openness, interoperability and reusability.
Last Updated: 16 March 2022 • Page Author: Jillur Quddus
The OntoPop developer guides are intended to act as an introduction to the OntoPop open-source code base for software engineers and data engineers who wish to develop and extend the OntoPop project, either for their own deployment use case(s) and requirements, or as contributors and committers to the open-source code base.

Source Code

The source code for OntoPop may be found on GitHub at https://github.com/hyperlearningai/ontopop. In the spirit of open-source software projects, all of the source code (including feature branches, issues and bug reports) is open-by-default.


OntoPop is an open-source software project available under the GNU General Public License v3.0 (GNU GPLv3) software license.


OntoPop uses GitHub Issues to manage tasks, feature requests and bug reports. To access the GitHub issues board for the OntoPop project, please visit https://github.com/hyperlearningai/ontopop/issues.


This website i.e. https://docs.ontopop.com acts as the master documentation for the OntoPop open-source project. In the spirit of open-source software projects, all documentation is open-by-default.

Project Maintainer

The OntoPop open-source project is maintained by HyperLearning AI who are responsible for managing the development roadmap, leveraging the open-source community, documentation, and managing relationships with funding partners. If you have any queries regarding the OntoPop project, including technical questions and funding queries, please contact [email protected].