CadQuery vs OpenSCAD: a programmatic CAD comparison for engineers
If you're looking for an OpenSCAD alternative, CadQuery — paired with AI-assisted scripting in AeroCAD — is usually the faster path to production-ready parametric parts.
Why search for an OpenSCAD alternative?
OpenSCAD pioneered the idea of describing CAD parts in code instead of clicking through a GUI. For simple parametric shapes it's elegant: a few lines of cube(), cylinder() and difference() and you have a printable model. But once a part gets real — fillets on selected edges, draft angles, organic shelling, threaded features, sheet-metal flanges — the functional, CSG-only language starts to push back. Selecting "the four top edges of this pocket" becomes an exercise in remembering which CSG operation produced them.
That's why "openscad alternative" is a recurring query among mechanical engineers. CadQuery is the most popular answer.
CadQuery in one paragraph
CadQuery is a Python library on top of the OpenCascade kernel — the same B-Rep kernel that powers FreeCAD and Onshape. You write normal Python, chain modeling operations on workplanes, and select features by query strings like .faces(">Z").edges("|X"). Because it's Python, you get loops, functions, classes, numpy, unit tests, packaging — the entire ecosystem an engineering team already uses for analysis and scripting.
Side-by-side
| Capability | OpenSCAD | CadQuery |
|---|---|---|
| Kernel | CSG (mesh-based) | OpenCascade B-Rep |
| Language | Custom functional DSL | Python 3 |
| Fillets & chamfers on selected edges | Manual / workarounds | Native, selector-based |
| STEP / IGES export | No (STL only) | Yes |
| Reusable libraries | include / use | pip packages |
| Unit tests for geometry | Awkward | pytest works out of the box |
| Tooling integration | Limited | Jupyter, numpy, CI |
A concrete example: a bracket with countersunk holes
In OpenSCAD, countersinks and edge fillets are CSG gymnastics:
difference() {
cube([60, 40, 6]);
for (x = [10, 50])
for (y = [10, 30])
translate([x, y, -0.1]) {
cylinder(h=6.2, d=4.2, $fn=48);
translate([0, 0, 4])
cylinder(h=2.3, d1=4.2, d2=8.4, $fn=48);
}
}In CadQuery, the same part reads like a design intent:
import cadquery as cq
part = (
cq.Workplane("XY")
.box(60, 40, 6)
.faces(">Z").workplane()
.rect(40, 20, forConstruction=True)
.vertices()
.cskHole(diameter=4.2, cskDiameter=8.4, cskAngle=82)
.edges("|Z").fillet(2)
)Same physical part, half the lines, and every constraint is explicit: hole pattern, countersink geometry, fillet radius. You can unit-test that part.val().Volume() falls inside a tolerance band — a workflow that's hard to even express in OpenSCAD.
Where AeroCAD fits
CadQuery's only real downside vs OpenSCAD is the learning curve: workplane mental model, selector strings, and OpenCascade quirks. That's exactly what AeroCAD removes. You describe the part in English — dimensions, hole patterns, fillets, materials — and AeroCAD streams back a ready-to-execute CadQuery script. You keep the kernel quality and the Python ecosystem; you skip the API memorization.
For mechanical engineers evaluating an OpenSCAD alternative, that combination — CadQuery's B-Rep kernel plus AI-assisted scripting — is the productivity upgrade most teams are actually looking for.
Try it
Open AeroCAD, describe a part, and run the script locally with python part.py — from quick brackets to multi-feature assemblies.