# fossasia/knitlib

Knitting backend library for knitting machines

Repository: https://github.com/fossasia/knitlib
Canonical: https://ross.abutalabs.com/products/knitlib
Language: Python
License: LGPL-3.0
License Family: copyleft
Last push: 2026-02-02T14:35:16+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 65, release rhythm 35, longevity 100
- inputs: {"age_days": 4120, "days_push": 212, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1544, forks 13 (observed 2026-08-28T04:05:01.452360+00:00)

## What it is
Knitlib is a Python library and API for controlling a variety of knitting machines, mechanisms, and hacks, with machine support added via a plugin system. It builds on projects like AYAB, PDD, and KnitterStream and also exposes a Web API for knitting jobs and patterns.

## Use cases
- control a knitting machine from Python code
- add support for a new knitting machine via a plugin
- run knitting jobs and patterns programmatically
- integrate knitting machine control into a web service
- build maker/hardware tooling around hobby knitting machines

## When to choose
- you need a programmatic backend to drive knitting machines
- you want to write a plugin for a new knitting machine or mechanism
- you are building an app or web API on top of knitting machine control

## When to avoid
- you need a polished end-user GUI for knitting (knitlib is a backend library)
- your machine is unsupported and you cannot write a plugin yourself
- you need a production-hardened, actively maintained solution

## Facets
- artifact type: library
- maturity: experimental
- function: plugin-system, sdk, developer-tools
- domain: hardware, developer-tools
- platform: python, cross-platform
- tags: knitting-machines, hardware-control, ayab, textile, maker, automation

## Member repositories
- fossasia/knitlib (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:01.452360+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:30:37.718721+00:00, confidence not recorded.
  - readme: https://github.com/fossasia/knitlib (fetched 2026-08-28T04:05:01.452360+00:00, sha 96783a196c51)
- Data as of 2026-08-30T08:39:29.467469+00:00.