This repository is a "development environment" - and no regular user would have to touch this at all (dont download the repo from here, use the Download links below)
Releases are made available on https://github.com/LaserWeb/LaserWeb4-Binaries/
For more documentation, go to the Wiki or our website https://laserweb.yurl.ch
See the separate Docker Guide.
Please use the community forum on https://forum.makerforums.info/c/laserweb-cncweb for questions and support. Please only report confirmed bugs on the git Issues tab.
Note: Ever changing. See the Issues tab above for details.
Firmware | Supported | Raster Performance | CNC Support | Pull Requests Accepted |
---|---|---|---|---|
Grbl > v1.1f (ATmega328) | Yes | Good | Great | Yes - improvements |
Grbl-Mega (ATmega2560) | Yes | Good | Great | Yes - improvements |
Grbl-LPC (LPC176x) | Yes | Great | Great | Yes - improvements |
Grbl_ESP32 (ESP32) | Yes | Great | Great | No - Superseded by FluuidNC |
FluidNC (ESP32) | Yes | Great | Great | Yes - improvements |
Smoothieware | Yes * | Okayish | Okayish | Yes - improvements |
TinyG | Yes | Unknown | Good | Yes - improvements |
Marlin | Yes | Unknown | No | Yes - improvements |
MarlinKimbra | Yes | Unknown | No | Yes - improvements |
Repetier | Yes | Unknown | No | Yes - improvements |
RepRapFirmware | Yes | Unknown | Yes | Yes - improvements |
- If fast raster engraving is important for you, we recommend replacing Smoothieware with grbl-LPC (https://github.com/cprezzi/grbl-LPC) which also runs on the LPC1769 based boards and performs much faster for laser raster applications.
If you want to contribute, below are long standing community-requested enhancements, that a) we don't have time to code or b) need extra skills
- GCODE Optimiser - to cut down on G0 moves (something like http://parano.github.io/GeneticAlgorithm-TSP/)
- Implement "Raster > TSP-Vector" operation
- More Controllers! Help us implement more firmwares (improve TinyG add Marlin/Repetier, etc)
- WebGL Transformation Filters to use Webcam to setup stock
- Automate Electron Builds for all platforms
To set up a development environment see the Developer HowTo in the repo. Further details are on https://github.com/LaserWeb/LaserWeb4/wiki/How-to-Contribute