Fascat is a Python library and CLI for converting STEP, IGES, OpenCASCADE BREP, and JT CAD into realtime-ready OpenUSD, glTF, OBJ, STL, and FBX assets.
flowchart TD
A["STEP / IGES / BREP / JT CAD"] --> B["Imported assembly"]
B --> C["Tessellated meshes"]
C --> D["Repaired meshes"]
D --> E["Staged materials & UVs"]
E --> F["Optimized LODs"]
F --> G["OpenUSD / glTF / OBJ / STL / FBX"]
Installation
pip / pipx
pipx install fascat
# or
pip install fascat
The base install does not require a C++ compiler. To enable optional glTF
EXT_meshopt_compression export, install the meshopt backend separately:
pip install "fascat[meshopt]"
Quick Start
# Show help
fascat --help
fascat help convert
# Print version
fascat version
# Inspect a CAD assembly
fascat inspect motor.step
fascat --json inspect motor.step
# Convert STEP to binary OpenUSD
fascat convert motor.step
fascat convert motor.step motor.usdc --profile realtime-desktop
# Convert STEP to binary glTF for VR/runtime engines
fascat convert motor.step motor.glb --profile virtual-reality
fascat convert motor.step motor.glb --profile mixed-reality
# Convert JT 8.x/9.x/10.x tessellation to GLB and import all stored JT LODs
fascat convert assembly.jt assembly.glb --lod-selection all
# Tune tessellation, UVs, optimization, and LODs
fascat convert motor.step motor.usdc \
--sag 0.1 \
--angle 15 \
--max-edge-length 25 \
--target-triangles 500000 \
--materials display \
--uv1 box \
--lods 0.5,0.25,0.1
# Keep valid stored LODs and generate only missing or invalid fallbacks
fascat convert assembly.jt assembly.glb --lod-selection all --lod-source auto
# Preview a conversion without writing files
fascat convert motor.step motor.usdc --dry-run
# Emit a debuggable ASCII USD and report
fascat convert motor.step motor.usda --debug --report report.json
# Validate generated output
fascat validate motor.usdc
fascat validate motor.glb
# Render multi-angle turntable previews of the result
fascat validate motor.glb --turntable-dir views/
Commands
| Command | Description |
|---|---|
fascat inspect input.step |
Inspect a CAD assembly before conversion |
fascat convert input.step [output.usdc] |
Convert STEP, IGES, BREP, or JT CAD into OpenUSD, glTF, OBJ, STL, or FBX |
fascat validate output.usdc |
Validate generated USD, glTF, OBJ, STL, or FBX output |
fascat help [command] |
Show top-level or command-specific help |
fascat version |
Print version and exit |
Fascat follows standard CLI stream conventions: primary output and JSON go to stdout, while errors and per-stage conversion progress go to stderr. Conversion validates the generated asset before reporting success. File arguments accept - for stdin/stdout where meaningful.
Python API
import fascat as fc
asset = fc.read_step("motor.step") # or read_iges(...) / read_brep(...) / read_jt(...)
asset = (
asset.tessellate(sag=0.1, angle=15.0)
.repair(tolerance=0.05)
.stage(materials="cad", uv0="box")
.optimize(target_triangles=500_000)
.lods([0.5, 0.25, 0.1])
)
asset.write_usd("motor.usdc")
asset.write_gltf("motor.glb")
Keyword arguments mirror each operation's *Options dataclass; pass a prebuilt
options object instead when you prefer (asset.repair(fc.RepairOptions(tolerance=0.05))).
Agentic Skill
skills/cad-to-rt3d is an agentic skill that
automates the whole CAD → RT3D tuning loop: it converts with a target profile, validates geometry
quality, renders the result from multiple turntable angles, compares each view
against a high-fidelity reference conversion, and adjusts fascat flags
iteration by iteration until the asset passes both deterministic gates
(topology, triangle and file-size budgets — checked by
scripts/gates.py) and a visual
inspection of the renders.
Open this repository in your coding agent (or copy the skill folder into your own project) and ask, for example:
Use the cad-to-rt3d skill to convert motor.step for realtime-web.
Every iteration's settings, reports, and renders are kept in a
<output>.fascat-work/ directory, so the tuning history stays auditable. The
turntable rendering it relies on is plain fascat validate --turntable-dir —
see the CLI reference for
the flags.
Docs
Full documentation at pavelsimo.github.io/fascat.
License
MIT
Metadata
Release files for fascat 0.6.0
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| File | Size | Uploaded | Provenance | |
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|---|---|---|---|---|
| fascat-0.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.6 MB
Release files / fascat-0.6.0.tar.gz
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