Acurately analyze and simulate gcode tool-path for plotters, CNCs, 3D printers and more.
Project description
gcode-simulator
Python package for analyzing and simulating gcode tool-path for plotters, CNC, 3D printers and more.
Features
- Accurate time estimation considering acceleration limits
- Junction deviation modeling for realistic speed transitions
- Visualization of tool paths with color-coded feed rates
- Support for different GRBL firmware versions
- JSON output option for integration with other tools
Installation
pip install gcode-simulator
## Features
- Accurate time estimation considering acceleration limits
- Junction deviation modeling for realistic speed transitions
- Visualization of tool paths with color-coded feed rates
- Support for different GRBL firmware versions
- JSON output option for integration with other tools
Usage
gcode-simulator come with both a cli and a python API.
Command Line Interface
Analyze a G-code file to estimate execution time and visualize the tool path:
gcode-simulator path/to/your/file.gcode
Options
--max-rate-x FLOAT Maximum feed rate for X axis in mm/min ($110) [default: 3000.0]
--max-rate-y FLOAT Maximum feed rate for Y axis in mm/min ($111) [default: 3000.0]
--max-accel-x FLOAT Maximum acceleration for X axis in mm/s^2 ($120) [default: 800.0]
--max-accel-y FLOAT Maximum acceleration for Y axis in mm/s^2 ($121) [default: 800.0]
--junction-deviation FLOAT Junction deviation in mm ($11) [default: 0.01]
--grbl-version TEXT GRBL firmware version [default: 0.9i]
--visualize / --no-visualize Display a visualization of the toolpath [default: no-visualize]
--json-output / --no-json-output Output results in JSON format [default: no-json-output]
--help Show this message and exit.
Python API
GCodeSimulator
from gcode_simulator import GCodeSimulator, GrblSettings
# Configure GRBL settings
settings = GrblSettings(
max_rate_x=3000.0, # mm/min
max_rate_y=3000.0, # mm/min
max_accel_x=800.0, # mm/s^2
max_accel_y=800.0, # mm/s^2
junction_deviation=0.01, # mm
grbl_version='0.9i'
)
# Create simulator with tracing enabled for visualization
simulator = GCodeSimulator(settings, trace=True)
# Load G-code from a file
with open('path/to/your/file.gcode', 'r') as f:
gcode = f.read()
# Estimate execution time and get boundaries
time_seconds, bounds = simulator.estimate_time(gcode)
print(f"Estimated execution time: {time_seconds:.2f} seconds")
print(f"Width: {bounds.width:.2f}mm, Height: {bounds.height:.2f}mm")
Visualization
from gcode_simulator import GCodeSimulator, GrblSettings
from gcode_simulator.viz import plot_trace
# Setup and run the simulator as shown above
simulator = GCodeSimulator(settings, trace=True)
time_seconds, bounds = simulator.estimate_time(gcode)
# Visualize the tool path with color-coded feed rates
plot_trace(simulator.trace_nodes, bounds)
The visualization shows the G-code path with color-coded feed rates and a grid for scale. Each line segment is colored according to its feed rate, with a color bar indicating the feed rate values.
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