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Metapages for scientists and researchers

Metapages are open-source, web-native scientific workflows that connect visualization, data, compute, and AI models into a single, shareable experience. Build analyses and simulations that run consistently, then embed them in papers, lab sites, or internal portals, or publish as a standalone interactive page your audience can use immediately.

See examples: https://about.metapage.io/examples

What you can do​

  • Reproduce and extend results
    • Package datasets, analysis code, and visualizations so others can rerun, inspect, and modify with confidence.
  • Integrate diverse tooling
    • Combine Python, R, Julia, and domain-specific tools in one workflow without forcing a single stack.
  • Share interactive figures
    • Turn static plots into interactive, citable figures that readers can explore directly in articles, preprints, or lab wikis.
  • Collaborate across teams
    • Co-edit and use the same workflows in real time across labs and organizations, with predictable, repeatable execution.

How it works​

  • Metaframes as modules
    • Each component (e.g., a visualizer, dataset, or compute step) is a “metaframe,” typically in an iframe, with clearly defined inputs and outputs. They snap together to form your workflow.
  • Connect your data and compute
    • Point to your data sources and CPUs/GPUs, or bring AI models into the loop, then wire everything with declarative JSON.
  • Publish and embed anywhere
    • Share a URL or embed snippet to deliver the full, interactive workflow to any device, without asking readers to set up an environment.

In short: compose reproducible, multi-language scientific workflows from interoperable components, then share them as interactive, embeddable artifacts your community can use immediately.