Showing 2 open source projects for "volume rendering"

View related business solutions
  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
    Start Free
  • Cut Data Warehouse Costs by 54% Icon
    Cut Data Warehouse Costs by 54%

    Easily migrate from Snowflake, Redshift, or Databricks with free tools.

    BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
    Start Free
  • 1
    OpenVDB

    OpenVDB

    Sparse volume data structure and tools

    ...It was originally developed by DreamWorks Animation for volumetric work in feature film production. The project centers on a hierarchical data structure that keeps large empty regions efficient while still supporting detailed volume information. It includes tools for creating, editing, transforming, filtering, rendering, and exchanging volume data. The repository also includes related components such as OpenVDB AX, NanoVDB, command-line tools, and integrations for production workflows. Because it is maintained under the Academy Software Foundation, it is especially relevant for visual effects, animation, simulation, rendering, and technical graphics pipelines.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    ChartGPU

    ChartGPU

    Beautiful, open source, WebGPU-based charting library

    The ChartGPU repository is an open-source, WebGPU-based charting library written in TypeScript that enables developers to visualize large datasets with high performance and smooth interactivity even when handling millions of data points. By leveraging WebGPU — the next-generation graphics API for the web — ChartGPU offloads rendering work to the GPU, allowing for fast panning, zooming, and real-time updates with minimal latency. This makes the library particularly valuable for data-intensive dashboards, scientific visualizations, and financial charting where performance bottlenecks of traditional canvas or SVG approaches become apparent. It includes support for common chart types like line, bar, scatter, and candlestick plots, and its architecture is designed to scale with both visual complexity and data volume.
    Downloads: 1 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next