Introduction
Metapages are open-source web-native scientific workflows
Connect:
- visualization
- data
- compute
- AI models
then share, publish, and embed instantly. Collaborate real-time, across and within organizations and disciplines, and know that your simulations, workflows, AI models, and visualizations will run consistently, every time, and you can always share the complete interactive workflow to your audience, no matter where they are, or what device or resources they have.
Your published workflows, figures, visualizations can be embedded in published papers, blogs, internal organization sites, any online form, and your readers will have full access and the ability to immediately use your work.
For:
- Organizations
- [Problem Internal Link]
- Researchers/Scientists
Key Capabilities
With Metapages, you can:
- Create multi-language workflows: Seamlessly combine Python, R, Julia, and other languages alongside visualization libraries in a single environment
- Build interactive dashboards: Develop responsive interfaces that allow users to explore data and analyses without coding experience
- Embed and publish anywhere: Integrate Metapages into any website or application, or publish them as standalone resources
- Collaborate in real-time: Share and co-edit Metapages with team members to accelerate research and data-driven projects
By eliminating the friction of integrating multiple data sources and applications, Metapages make it easier to iterate, test, and deploy workflows, particularly in data-intensive fields like data science, machine learning, and scientific research.