Related Projects

📚 Project Ecosystem

CMU Textiles Lab Projects

The knitout-interpreter builds upon foundational work from Carnegie Mellon University’s Textiles Lab:

knitout - Original Specification

Repository: knitout
Description: Original knitout specification and reference tools
Created by: McCann et al.
Purpose: Defines the standard format for automatic knitting machine programming

The original knitout project established the specification that this interpreter implements, providing the foundation for machine-readable knitting instructions.

knitout-frontend-js - JavaScript Tools

Repository: knitout-frontend-js
Description: JavaScript frontend tools for knitout generation
Language: JavaScript/TypeScript
Purpose: Web-based tools for creating and manipulating knitout files

This project provides complementary browser-based tools for working with knitout files, offering a different ecosystem for web applications.

Core Knitting Libraries

knit-graphs

Knitting graph data structures and analysis tools.

Purpose: Models fabric topology and stitch relationships
Key Features: Stitch dependency tracking, fabric analysis, pattern validation
Integration: Used by KnitScript to represent generated fabric structures
Repository: knit-graphs on PyPI

knit-script

A simulation of a knitting machine.

Purpose: Used to verify knitting operations and construct knit graphs.
Repository: virtual-knitting-machine on PyPI

knit-script

A general purpose machine knitting langauge

Purpose: Fully programmatic support to control knitting machines.
Repository: knit-script on PyPI

knitout-interpreter

Knitout processing and execution framework.

Purpose: Processes and validates knitout instruction files
Key Features: Instruction parsing, carriage pass organization, error detection
Integration: Processes KnitScript’s generated knitout output
Repository: knitout-interpreter on PyPI <https://pypi.org/project/knitout-interpreter/>

Optimization and Analysis Tools

koda-knitout

Optimization framework for knitout instructions.

Purpose: Optimizes knitout files for faster execution and better quality
Key Features: Carriage pass optimization, instruction reordering, resource minimization
Integration: Can post-process KnitScript’s generated knitout for optimization
Repository: koda-knitout on PyPI

Academic Publications

Key papers that have shaped this work:

“A Compiler for 3D Machine Knitting” - McCann et al.
“Automatic Machine Knitting of 3D Meshes” - Narayanan et al.
“Visual Knitting Machine Programming” - McCann et al.