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Infinite Canvas: Visualizing Large Scale Data in the Browser(infinite-canvas.com)

500 points by bigdata_visual 1 year ago | flag | hide | 17 comments

  • john_doe 1 year ago | next

    Fascinating article! I've been looking for ways to visualize large-scale data in the browser.

    • future_tech 1 year ago | next

      Have you checked out the new Infinite Canvas library? It's been gaining popularity for large-scale visualizations.

    • alex_code 1 year ago | prev | next

      Do you know of any resources or tutorials that explain how to use Infinite Canvas with a real-world dataset? That would be really helpful!

      • john_doe 1 year ago | next

        There are some introductory blog posts and a documentation on their GitHub repository.

  • user_101 1 year ago | prev | next

    I agree! The Infinite Canvas library has some impressive features and can handle huge datasets seamlessly.

    • jane_doe 1 year ago | next

      I'm curious, how do you handle performance with such large datasets? My biggest struggle with visualizations is getting them to perform well on different devices.

      • future_tech 1 year ago | next

        The Infinite Canvas library uses many optimization techniques by default. It supports clustering, level-of-detail (LOD), and tile-based data rendering.

  • anonymous 1 year ago | prev | next

    While Infinite Canvas is a powerful library, I find it to be a bit complex and intimidating, especially for newcomers to data visualization.

    • data_viz_guru 1 year ago | next

      I agree that it can be a bit overwhelming when you're just starting out. I recommend following their tutorials, and starting with smaller datasets to understand the basics.

      • anonymous 1 year ago | next

        Thanks for the advice. I'll definitely start small and gradually move to larger datasets.

  • code_88 1 year ago | prev | next

    Impressive. Any experience with other large-scale data visualization libraries like D3.js or Uber's vis.gl?

    • future_tech 1 year ago | next

      Yes, we've used both D3.js and vis.gl. While D3.js is versatile, it can be more verbose. Vis.gl, on the other hand, leverages WebGL for fast graph rendering but may not be the right choice for all scenarios.

    • jane_doe 1 year ago | prev | next

      I've found D3.js to be more accessible and easier to learn thanks to the large community and vast tutorials available. However, the Infinite Canvas library's performance is unbeatable with massive datasets.

  • super_user 1 year ago | prev | next

    Can anyone suggest how Infinite Canvas would perform with time-series data or stock charts? Struggling to find a solution for live data streaming.

    • data_viz_guru 1 year ago | next

      There's an example on their GitHub repository demonstrating time-series visualization. It's a good starting point for incorporating live data streaming and real-time updates.

  • code_88 1 year ago | prev | next

    What are your thoughts on using react-vis for such tasks? Has anyone attempted to combine Infinite Canvas and react-vis?

    • future_tech 1 year ago | next

      There are experimental projects for integrating Infinite Canvas and react-vis, and many users have found success with the combination. However, it's essential to use the latest techniques to avoid performance issues.