A declarative parametric 3D modeling program built using OpenCascade and enaml.

It's similar to OpenSCAD in that everything is intended to be defined programatically. However the language being used is enaml (a superset of python) instead of javascript. Python users/developers will find this very easy and intuitive.

It's intended to be used along side of pythonocc, using either OCC apis directly or the declarative abstractions. You can easily combind parts from various sources into assemblies.

See the project site (coming soon).

Currently the following 3D features can be used declaratively:

1. Basic shapes (Box, Sphere, Cylinder, Wedge, Torus) see shapes
2. Boolean operations (Cut, Fuse, Common) see algo
3. Fillet and Chamfer edges see algo
4. 3D Drawing (Lines, Arcs, BSplines, Beziers, Circles, etc...) see draw
5. Pipes algo
6. Extrude (Prism), LinearForm, RevolutionForm algo
7. ThickSolid, ThroughSections algo

See the examples and the occ package.

You can also embed any shape built using pythonocc directly via a RawShape. See the sprocket example

Declaracad uses pythonocc's Qt Viewer and supports basic rotate, pan, zoom.
Each view is rendered in a separate process.

Clipping planes are now supported.

Multiple editor views are supported. Basic error checking hinting is implemented.

Currently there is no import support from other 3d types into editable code, but models can be loaded for display and exported to STL, STEP, or images.

Importing 2D paths from SVG (ex Adobe Illustrator, Inkscape, etc..) is possible

Models can be exported to STL or STEP formats for use in other programs (ex Simplify3D, FreeCAD, etc..)

This is generates a turners cube of a given number of levels.

from enaml.core.api import Looper
from declaracad.occ.api import Box, Sphere, Cut, Part

enamldef TurnersCube(Part):
    name = "Turners Cube"

    attr levels: int = 3
    Looper:
        iterable << range(1,1+levels)
        Cut:
            Box:
                position = (-loop_item/2.0,-loop_item/2.0,-loop_item/2.0)
                dx = loop_item
                dy = loop_item
                dz = loop_item
            Sphere:
                radius = loop_item/1.5

The goal is for the building blocks or components to be self documenting.

It's partially there... suggestions are welcome!

There is currently no installer as it's in pre-alpha state. It runs on windows and linux (have not yet tested osx but it should also work). To use it:

#: Install conda or miniconda
#: See https://conda.io/miniconda.html

#: Create a conda env
conda create -n declaracad

#: Activate it (on windows just do `activate declaracad`) 
source activate declaracad

#: Install pythonocc
conda install -c conda-forge -c dlr-sc -c pythonocc -c oce pythonocc-core==0.18.1

#: Now install clone this repo
git clone https://github.com/codelv/declaracad.git

#: Go inside the cloned repo
cd declaracad

#: Install the dependencies
pip install .

#: Run 
python main.py

The application is released under the GPL v3 (due to the use of PyQt5 and QScintilla). If you want to use this in your own application these can be replaced with alternatives if alternate licensing is needed. Please contact me for more details.

This project relies on the groundwork laid out by these projects:

• python-occ
• enaml

Please share your appreciation to them for all the hard work creating these projects!