Comments (3)
raimis
commented on July 25, 2024
@Yoshanuikabundi idea from #45 (comment)
Using Binder rather than Colab might be a solution to this. We cache the environment so that it loads quickly (much, much faster than installing via Conda) and doesn't have to include installation instructions, and we could convert the notebook to static HTML and embed it directly in the home page (or wherever). That way we can use our own theming and CSS, it doesn't have to look like a notebook at all. When a user wants to run their own code, they click a button that loads up the Binder notebook and have a fully installed system ready to go.
I'm working on something similar for OpenFF. You can see here that static web pages made from notebooks can render interactive widgets if prepared properly. Having an interactive 3D model of a prepared system ready to simulate might be more exciting than installation instructions :)
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raimis
commented on July 25, 2024
The best I can found for rendering Jupyter notebooks is https://github.com/jsvine/notebookjs. They have a demo to try https://jsvine.github.io/nbpreview/.
This should be sufficient for #66.
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peastman
commented on July 25, 2024
That looks nice.
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Related Issues (20)
- Add statement to website on who to contact if you’re interested in joining the OpenMM team HOT 1
- Migration to GitHub Pages HOT 25
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- Adjust fonts and font sizes HOT 3
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- Add NIH funding acknowledgment HOT 5
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- Add links to webpages of consortium members
- Potential website usability issues
- Error while trying to install the openmmforcefields conda package HOT 3
- Joint Amber/Charmm benchmark link for DHRF case does not work HOT 3
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- Openmm Example for Protein-Ligand Complex HOT 1
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