Bizard brings biomedical visualization code and tutorials into a community-built resource

Finding a suitable chart is only the first step in presenting biomedical data. Researchers must also locate usable code, prepare their datasets and understand how to adapt the result. A study in iMetaMed describes Bizard, an open-source platform that brings these resources together with tutorials and community support.

At the time of the study, Bizard contained more than 750 rendered graphics across over 70 chart types. Its collection covers basic statistical graphics, omics visualizations and charts used with clinical data. Examples include heatmaps, volcano plots, enrichment plots and nomograms. A searchable gallery and hierarchical menus help users locate a chart suited to their data and research question.

Each tutorial connects a worked example with setup instructions, example data, plotting code and guidance on applications in published research. An UpSet plot demonstration in the paper shows how users can move from choosing a chart and loading its required R packages to preparing data and adjusting the visualization. The aim is to help researchers understand the plotting process and adapt the code to their own needs.

The platform provides documentation in both English and Chinese. Its GitHub-based community gives users ways to ask questions, report problems and suggest graphics. Contributors can propose new tutorials or improvements through code review, while automated workflows build and deploy the website. These processes connect the visualization collection with ongoing maintenance and discussion.

The authors also describe checks intended to support reproducibility, including package-version information, execution of tutorial code and monitoring of data links. Such maintenance matters because changes in software dependencies can affect whether an example continues to run. Researchers still need to check that a chosen method and its parameters are appropriate for their own data.

The paper presents a software resource and its workflows. The authors identify limits: the implementation is currently confined to R, and its clinical utility requires further development. Extending support to other programming languages is a future direction. The collection figures reported in the study provide a snapshot of the resource at publication.

Bizard is freely available at https://openbiox.github.io/Bizard/, with its code repository at https://github.com/openbiox/Bizard. The research article, “Bizard: A Community-Driven Platform for Accelerating and Enhancing Biomedical Data Visualization,” was first published in iMetaMed on March 19, 2026. DOI: https://doi.org/10.1002/imm3.70038.