fabprint 0.1.48

Immutable 3D print pipeline: arrange, slice, and print

fabprint

Reproducible 3D print pipeline: define parts, slicer settings, and printer targets in a TOML file — arrange, slice, and print from the command line.

Why fabprint?

Code-CAD tools like build123d, OpenSCAD and cadquery let you define parts in code — parametric, testable, version-controlled. But the moment you print, that breaks: open a slicer GUI, drag in files, fiddle with settings. No diffs, no reproducibility.

fabprint closes the gap:

• Everything is text — TOML config, git-friendly, diffable
• Pinned profiles — lock exact slicer, filament, and process profiles in your repo
• Slicer overrides — tweak support, bed type, wall count without touching profile files
• Versioned Docker slicing — pin OrcaSlicer version for identical gcode across machines
• One command — fabprint run goes from STL files to a running print

Quick start

pip install fabprint                # STL + 3MF support, LAN + cloud printing
pip install "fabprint[step]"        # add STEP file support (build123d)

Generate a config with the interactive wizard, or dump a commented template:

fabprint init                       # interactive wizard — discovers profiles and CAD files
fabprint init --template            # dump a commented template to stdout
fabprint init --template > fabprint.toml   # save template and edit manually

Or create fabprint.toml by hand (see full config reference):

[pipeline]
stages = ["load", "arrange", "plate", "slice", "print"]

[printer]
name = "workshop"       # references ~/.config/fabprint/credentials.toml

[plate]
size = [256, 256]       # build plate dimensions in mm
padding = 5.0

[slicer]
engine = "orca"
version = "2.3.1"       # pin OrcaSlicer version for reproducibility
printer = "Bambu Lab P1S 0.4 nozzle"
process = "0.20mm Standard @BBL X1C"

[slicer.overrides]
enable_support = 1
curr_bed_type = "Textured PEI Plate"

[[parts]]
file = "frame.stl"
rotate = [180, 0, 0]    # flip so mounting plate faces down
filament = "Generic PETG-CF @base"

[[parts]]
file = "wheel.stl"
copies = 5
orient = "upright"
filament = "Generic PETG-CF @base"

Run it (see full CLI reference):

fabprint run                   # arrange, slice and send to printer
fabprint run --until plate     # stop after plating
fabprint run --until slice     # stop after slicing
fabprint run --dry-run         # full pipeline without sending to printer

The plate stage generates a plate_preview.3mf — open it in any 3MF viewer to check placement:

Reproducibility

Pin profiles into your repo so builds are identical across machines:

fabprint profiles pin          # copies slicer profiles into ./profiles/
git add profiles/              # commit to lock them

Combined with version = "2.3.1" in [slicer] (which pins the Docker image), the same config always produces the same gcode.

CLI overview

fabprint init                        # interactive config wizard
fabprint init --template             # dump commented TOML template
fabprint validate                    # check config for issues
fabprint setup                       # set up a printer (credentials + connection type)
fabprint run                         # full pipeline
fabprint run --until plate           # stop after plating
fabprint run --only slice            # run just one stage
fabprint run --dry-run               # everything except sending to printer
fabprint login                       # log in to Bambu Cloud
fabprint watch                       # live printer dashboard
fabprint status                      # query printer status
fabprint profiles list               # list available slicer profiles
fabprint profiles pin                # pin profiles for reproducible builds

Documentation

• CLI reference — all commands, flags, and pipeline stages
• Config reference — complete TOML format
• Developing — setup, testing, architecture

License

Apache 2.0