a jupyter based cad workflow
most of the hard work is done by
this project aims to focus on usability in a jupyter environment
specifically for creating and exporting functional parts
pip install git+https://github.com/elalish/manifold.git
pip install git+https://github.com/wrongbad/badcad.git
# optional dependencies (text + svg support)
pip install pycairo svgelements
from badcad import *
plus = square(3, 1, center=True) + square(1, 3, center=True)
p_lil = plus.offset(-0.4, 'round')
p_big = plus.offset(+0.4, 'round')
p_big.extrude_to(p_lil, 1)
from badcad import *
deathstar = sphere(r=1) - sphere(r=0.5).move(1.2,0,0)
deathstar.to_stl('deathstar.stl')
deathstar
from badcad import *
bolt = threads(d=8, h=16, pitch=1)
bolt + circle(r=5, fn=6).offset(1,'round').extrude(4).move(0,0,15)
from badcad import *
t = text('yo', font='monospace')
t.offset(1,'round').extrude(2) - t.extrude(2)
Shape.extrude_to()
- automatically find min-distance alignment between two polygons and create 3d extrusion from one to the other
threads()
- generate screw threads
Shape.align()
, Solid.align()
- use bounding box to align center, min, or max to given location, per axis
to escape openscad syntax - op wrapping and nesting is an editing nightmare compared to A + B.move(...) - C
style
to escape openscad render times - manifold lib is 1000x faster for high-poly boolean ops
to enable easier prototyping of mesh algorithms in the CAD environment