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Sverchok is specialised tool for architects including wide NURBS/spline/fields/solids nodes specific for CAM CAD and also BIM design.
Also additionally extensions for insolation/topology/IFC etc.
Can output Gcode and SVG drawings to CNC workflow.
Also teachable neuron node and genetic algorithm node.
Specific list operations.
Pulga phisics.
Power nodes as waffle, generative art (fractals by rules), folding structures, profile parametric xml-like node.
CAD nodes.
Extended analyse mesh stuff.
Specific transform and spatial tools.
Geometry nodes is modifier ATM. Node-based modifier.
It can be extended to Everything nodes if only blender core be refactored.
Aim of GN EN is modelling/animation/artistic stuff.
It can appear that the problem is in filesystem permissions. Try running Blender from an administrator account and install dependencies in this mode.
Another possibility is to use a prepared archive with Python libraries. Zip archive is to be unpacked into ..\Blender 2.**\2.**\python
. For FreeCAD libraries installation, specify \Blender 2.**\2.**\python\lib\site-packages\conda-0.18.3\bin
.
This archive was tested to be working with Blender versions since 2.83 to 2.92.
If you experience some problems with use of this Zip archive, please report them in a github issue.
Snap creates readonly file system, so you can't put depencencies into it. The only way known to work reliably is to not use Blender from Snap for Sverchok, if you want to use depencencies. The recommended way is to just download Blender's tar.xz
from blender.org and unpack it.
It can appear that you have the package installed into your system-wide or user-wide Python installation, for example into ~/.local/lib/python/...
. In this case Pip will see that the package is installed, but Sverchok will not be able to access it. Try to run
$ python3.7 -m pip uninstall $PACKAGENAME
(using your system's python, not blender's one), and then install the package again with Blender's python
$ /path/to/blender/2.xx/python/bin/python3 -m pip install $PACKAGENAME
This time you should see that pip is actually installing package.
If you admit some kind of errors with pip, you can try:
Wipe all versions of pip from 2.90\python\lib\site-packages
and then run 2.90\python\bin> ./python.exe -m ensurepip -U