marcomusy/vedo

Health v2 · maintenance only

Adoption not part of the score

2263 stars · 277 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

vedo is a Python library for scientific analysis and visualization of 3D objects, meshes, point clouds, and volumetric data, built on top of VTK and NumPy. It provides an intuitive API for interactive rendering, mesh editing, geometric analysis, and publication-quality plotting.

Use cases

• visualize 3d meshes and point clouds in python
• analyze and edit polygonal mesh geometry
• render volumetric data and scalar fields
• create publication-quality scientific 3d figures
• slice and inspect volumetric datasets interactively
• convert between mesh file formats like stl obj vtk
• compute mesh metrics like volume area and curvature

When to choose

• you want a simple, pythonic API over VTK for 3D scientific visualization
• you need to work with meshes, point clouds, and volumes in one toolkit
• you need publication-quality rendering and interactive exploration with minimal code

When to avoid

• you need raw, low-level access to the full VTK pipeline
• you need high-performance GPU rendering of massive datasets beyond VTK's typical scale
• you need web-based 3D visualization rather than desktop rendering

Facets

library · maturity active

data-visualization image-processing simulation graphics math data-visualization data-science graphics simulation python cross-platform cli vtk numpy 3d-meshes point-clouds volumetric-data scientific-visualization finite-elements publication-quality-rendering scientific-research

Member repositories

For agents

markdown · JSON · MCP: product_card(name="marcomusy/vedo")