The authors provide an overview of a client/server/compute model of computational chemistry and the associated data, visualization, and reproducibility benefits this brings. The paper offers a discussion of all layers involved from computing and web servers to a demonstration of the diversity in front-ends such as a website and Jupyter notebook that the backend web server can provide.

The paper should be after revisions for additional citations and to make it more friendly to readers not familiar with web stacks.

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