# fossasia/knitserver

Repository: https://github.com/fossasia/knitserver
Canonical: https://ross.abutalabs.com/products/knitserver
Language: JavaScript
License Family: other
Last push: 2017-02-28T10:05:32+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4064, "days_push": 3473, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1521, forks 5 (observed 2026-08-28T04:04:57.847127+00:00)

## What it is
Knitserver is a Flask-based REST API server that wraps the Knitlib library to control knitting machines, exposing endpoints and WebSocket-based async callbacks for real-time machine communication. It is designed to work with the Knitweb frontend.

## Use cases
- control a knitting machine from a web app
- expose knitlib functionality over a REST API
- stream real-time knitting machine status and errors via websockets
- build a web interface for machine knitting
- send needle position and carriage commands to a knitting machine

## When to choose
- you want to drive a knitting machine from Knitweb or a custom web frontend
- you need a REST/WebSocket bridge to Knitlib on a local machine

## When to avoid
- you need a maintained or packaged solution - the project has had no releases since 2017
- you are not working with Knitlib-compatible knitting machines

## Facets
- artifact type: service
- maturity: abandoned
- function: http-server, websocket, api-framework, iot
- domain: hardware, developer-tools
- platform: python, self-hosted
- tags: knitting-machine, flask, rest-api, knitlib, hardware-control, automation, web-server

## Member repositories
- fossasia/knitserver (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:57.847127+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 2026-08-30T04:31:52.046437+00:00, confidence not recorded.
  - readme: https://github.com/fossasia/knitserver (fetched 2026-08-28T04:04:57.847127+00:00, sha 01831a743fb2)
- Data as of 2026-08-30T08:39:29.467469+00:00.