vedo
To visualize a file from a web URL (or from your Dropbox!), simply type in your terminal:
Community
Import/Export meshes from VTK format, STL, OBJ, 3DS, Dolfin-XML, Neutral, GMSH, OFF, PCD
Analysis tools like Moving Least Squares, mesh morphing and more..
Visualize and edit meshes (cutting a mesh with another mesh, slicing, normalizing, warping, etc
Split mesh based on surface connectivity, extract the largest connected area
Calculate areas, volumes, center of mass, average sizes etc
Calculate vertex and face normals, curvatures, feature edges. Fill mesh holes
Coloring and thresholding of meshes based on associated scalar or vectorial data
Point-surface operations: find nearest points, determine if a point lies inside or outside of a mesh
Generate glyphs (associating a mesh to every vertex of a source mesh)
Create animations easily by just setting the position of the displayed objects in the 3D scene
Straightforward support for multiple sync-ed or independent renderers in the same window
Registration (alignment) of meshes with different techniques
Mesh smoothing using different algorithms
Generate meshes by joining nearby lines in space. Delaunay triangulation in 2D and 3D
Find the closest path from one point to another, traveling along the edges of a mesh
Interpolate scalar and vectorial fields with Radial Basis Functions and Thin Plate Splines
Add sliders and buttons to interact with the scene and the individual objects
Fit lines, planes, spheres and ellipsoids in space, visualize tensors
Identify outliers in a distribution of points
pip install vedo
vedo https://vedo.embl.es/examples/data/panther.stl.gz
To visualize a full 3D interactive scene, type:
vedo https://vedo.embl.es/examples/geo_scene.npz
Let's create an interactive 3D scene with a simple cone, in 3 lines of python code:
from vedo import Cone
# Create a simple cone
c = Cone()
# Show it (with axes)
c.show(axes=1)
# Now you can interact with the 3D scene,
# Press "h" and explore the possibilities! 
Let's write a simple python script that loads a polygonal Mesh and generates a cool rendering by adding some custom light sources to the scene:
from vedo import *
# Load a polygonal mesh, make it white and glossy:
man = Mesh('https://vedo.embl.es/examples/data/man.vtk')
man.c('white').lighting('glossy')
# Create two points:
p1 = Point([ 1,0,1], c='yellow')
p2 = Point([-1,0,2], c='red')
# Add colored light sources at the point positions:
l1 = Light(p1, c='yellow')
l2 = Light(p2, c='red')
# Show everything in one go:
show("Hello World", man, l1, l2, p1, p2, axes=True)
Let's create a Volume, a volumetric dataset, from a numpy array:
import numpy as np
from vedo import *
# Create a scalar field: the distance from point (15,15,15)
X, Y, Z = np.mgrid[:30, :30, :30]
scalar_field = ((X-15)**2 + (Y-15)**2 + (Z-15)**2)/225
# Create the Volume from the numpy object
vol = Volume(scalar_field)
# Generate the surface that contains all voxels in range [1,2]
lego = vol.legosurface(1,2).cmap("afmhot_r").add_scalarbar()
show(lego, axes=True)
vedo:
vedo as:
vedo, a python module for scientific analysis and visualization of 3D objects and point clouds",
Zenodo, 10.5281/zenodo.2561401.