Our web-based application offers an open-access platform for uploading data, linking publications, and sharing supplementary materials integrated with a hyper-elastic model fitting tool. Whether you're a researcher or developer, this tool provides a seamless experience for both data sharing and advanced modelling.

​

Built with a focus on interactivity and user experience, the app combines three core technologies:

• Python (Flask) for back-end computations and database operations

• JavaScript and HTML for fast, intuitive, browser-based rendering

• GitHub integration to store and manage datasets through standard repositories

 

Data exchange is handled through the GitHub REST API, using secure HTTP POST requests with the requests library, and formatted using JSON for smooth interoperability.

​

Users can use the modelling tool and database independently or together. To access the database features (uploading/downloading datasets), users simply register with an email address and set a GitHub token for secure access.