# bdring/FluidNC

The next generation of motion control firmware

Repository: https://github.com/bdring/FluidNC
Canonical: https://ross.abutalabs.com/products/fluidnc
Language: C++
License: NOASSERTION
License Family: other
Last push: 2026-08-19T23:25:42+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 84, longevity 100
- inputs: {"age_days": 1837, "days_push": 14, "days_rel": 28, "gap_med": 47, "n_releases_24m": 14}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2523, forks 638 (observed 2026-08-28T04:06:58.431535+00:00)

## What it is
FluidNC is CNC motion control firmware for the ESP32, the successor to Grbl_ESP32, supporting multiple machine and tool types with a config-file-based setup. It includes a built-in web UI, WiFi control, and AI helper tools (JSON schema, validator, MCP server) for writing config files.

## Use cases
- run a CNC machine with ESP32 firmware
- control a laser and spindle from one controller
- configure CNC machine without recompiling firmware
- control CNC over wifi from phone or tablet
- validate FluidNC config yaml with AI assistant
- replace Grbl_ESP32 with next generation firmware

## When to choose
- you use an ESP32-based CNC, laser, or similar machine
- you want Grbl-compatible gcode with yaml config files
- you need a built-in web UI and WiFi control

## When to avoid
- you need firmware for non-ESP32 microcontrollers
- you want a desktop CNC controller rather than firmware
- you need real-time motion control on a Raspberry Pi or PC

## Facets
- artifact type: application
- maturity: active
- function: embedded, configuration-management, developer-tools
- domain: embedded-systems, hardware
- platform: embedded, iot
- tags: cnc-firmware, esp32, gcode, grbl, motion-control, webui, mcp, automation

## Member repositories
- bdring/FluidNC (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:58.431535+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 2026-08-30T02:25:39.580084+00:00, confidence not recorded.
  - readme: https://github.com/bdring/FluidNC (fetched 2026-08-28T04:06:58.431535+00:00, sha 660c187d800d)
- Data as of 2026-08-30T08:39:29.467469+00:00.