Scaffolder

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Transform a 3D model from STL/PLY/OFF/OBJ to a porous model with implicit function (e.g., Schwarz P/ Gyroid).

Documentation Command line options Python API Example: TPMS with Python

Binary installation

  • Download from Github Releases page
  • Binary bundle consists of
    • Main program: Scaffolder
    • Pore analysis program: Scaffold.SliceTest
    • Python library: PyScaffold*.pyd

[!note] If you need only python library, you can install it from pip (see below).

Python supports

pip install PyScaffolder

[!note] v1.5.4 support only Python >=3.11 on Windows (ARM64), Linux (x86_64/aarch64), and MacOS (universal2)

Binary building

To build the binary executables, make sure you have installed the following softwares:

  • Visual Studio >=2022 (Windows)
  • GCC and Cmake (linux) 
    sudo apt install cmake
sudo apt install build-essential checkinstall zlib1g-dev libssl-dev -y
  • XCode (MacOS)

Steps

  • Download or clone the source code from github
  • Change current directory to the source code folder
  • Create build folder using CMAKE
cmake -E make_directory ./build
cmake -B ./build -DCMAKE_BUILD_TYPE=Release
cmake --build ./build --config Release

Blender addon (obsoleted)

  • Install the Scaffolder-blender.zip downloaded from Release
  • The plugin will appear at View > Sidebar or Press N
  • Screenshots: Blender plugin with PyScaffolder

Blender plugin

  • The figure of patterns implemented in this program

TPMS Patterns

  • The examples of generated porous scaffold

Examples porous scaffold

Dependencies

  • libigl - The computational geometry library
  • vcglib - The mesh utility library
  • sol2 - Lua script integration
  • tbb - Threading library (Migrated to OpenMP since v1.5.4)

How it works

  • Read STL file and find the boundary box of STL mesh
  • Generate the grid and calculate the winding number with STL mesh
  • Use winding number to determine the condition for implicit isosurface function
  • Generate the isosurface field in the grid
  • Perform Dual marching cube to construct the manifold
  • Clean up the duplicated vertices or faces, and abandon the group of connected faces having the diameter below the setting
  • Export to the target 3D format

FAQ

How can I find the dataset from the paper?

The raw dataset is available at Mendeley Data. The program that used to generate that data was released at Github repository. You can also find the interactive visualization at Google Colab

Where are the implicit functions defined in the C++ source code?

https://github.com/nodtem66/Scaffolder/blob/master/include/implicit_function.h

Alternative softwares like this program?

  • F13LD Fully Implicit Engine for Lattice Design
  • Cesogen (There you can find a curated list of the other software)
  • TPMS2STEP
  • LattGen
  • Rhino (Grasshopper) (Commerical software)
  • nTopology (Commerical software)
  • Hyperganic (Commerical software)

References

Citation

Computational method and program for generating a porous scaffold based on implicit surfaces

@article{IAMSAMANG2021106088,
title = {Computational method and program for generating a porous scaffold based on implicit surfaces},
journal = {Computer Methods and Programs in Biomedicine},
volume = {205},
pages = {106088},
year = {2021},
issn = {0169-2607},
doi = {https://doi.org/10.1016/j.cmpb.2021.106088},
url = {https://www.sciencedirect.com/science/article/pii/S0169260721001632},
author = {Jirawat Iamsamang and Phornphop Naiyanetr},
keywords = {Triply periodic minimal surface (TPMS), Implicit surface, Porous scaffold, Pore size, Porosity}
}

Project links

Data verified by PyPI on Jul 17, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Latest release

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Avatar for nodtem66 from gravatar.com nodtem66

Credits

Author: Jirawat Iamsamang

GitHub Statistics

Data verified by PyPI on Jul 17, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT

Requires

Python >=3.11

Classifiers

Report project as malware

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Release history Release notifications | RSS feed

This release

1.5.4 This release

21 files

1.5.3

19 files

1.5.2.post2

25 files

1.5.2.post1

21 files

1.5.2

16 files

Pre-release

1.5.1.dev1

18 files

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