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https://github.com/LaserWeb/LaserWeb4
Collaborative effort on the next version of LaserWeb / CNCWeb
https://github.com/LaserWeb/LaserWeb4
cam cnc cnc-controller gcode grbl laser smoothieware tinyg webgl
Last synced: 3 months ago
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Collaborative effort on the next version of LaserWeb / CNCWeb
- Host: GitHub
- URL: https://github.com/LaserWeb/LaserWeb4
- Owner: LaserWeb
- License: agpl-3.0
- Created: 2016-08-29T09:53:23.000Z (about 8 years ago)
- Default Branch: dev-es6
- Last Pushed: 2024-05-31T06:28:04.000Z (5 months ago)
- Last Synced: 2024-07-12T19:00:49.832Z (4 months ago)
- Topics: cam, cnc, cnc-controller, gcode, grbl, laser, smoothieware, tinyg, webgl
- Language: JavaScript
- Homepage:
- Size: 38.2 MB
- Stars: 694
- Watchers: 79
- Forks: 187
- Open Issues: 92
-
Metadata Files:
- Readme: README.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE.md
Awesome Lists containing this project
README
# LaserWeb (4.0.x)
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)
## Download
Releases are made available on https://github.com/LaserWeb/LaserWeb4-Binaries/
## Documentation
For more documentation, go to the [Wiki](https://github.com/LaserWeb/LaserWeb4/wiki) or our website https://laserweb.yurl.ch
## Docker
- run image:
```sh
docker run -device=/dev/ttyUSB0 -p 8000:8000 joesantos/laserweb:latest
```
- connect to app: http://localhost:8000
### Development
Docker user targets:
- dev
- test
You can run the `dev` version of the app in Docker using the commands below.
- build `dev` image:
```sh
docker build --target dev -t laserweb:dev .
```
- run image:
```sh
docker run -it -device=/dev/ttyUSB0 --rm -p 8000:8000 laserweb:dev
```
- connect to app: http://localhost:8000
To build the release version:
```sh
docker build -f Dockerfile.release -t laserweb:release .
```
## Community
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](https://github.com/LaserWeb/LaserWeb4/issues).
## Supported firmwares
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 | 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.
## Wishlist
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
## How to contribute ?
Details on [https://github.com/LaserWeb/LaserWeb4/wiki/How-to-Contribute](https://github.com/LaserWeb/LaserWeb4/wiki/How-to-Contribute)