merman 0.7.0a2

Experimental Python bindings for Merman headless Mermaid rendering.

merman Python Package

Experimental Python bindings for Merman through UniFFI.

Merman renders Mermaid diagrams without a browser. It can parse Mermaid source, return semantic JSON, compute layout JSON, and render SVG through a headless Rust engine. See the project README, Python binding notes, and diagram coverage status for the main library contract.

API

import merman

engine = merman.MermanEngine()
assert engine.abi_version() == 1
print(engine.package_version())

source = "flowchart TD\nA[Hello] --> B[World]"
svg = engine.render_svg(source, None)
ascii_text = engine.render_ascii(source, None)
semantic_json = engine.parse_json(source, None)
layout_json = engine.layout_json(source, None)
validation = engine.validate(source, None)
diagrams = engine.supported_diagrams()
themes = engine.supported_themes()

try:
    engine.render_svg(source, "{")
except merman.MermanError.Binding as error:
    print(error.code_name, error.message)

options_json is optional. Pass None for defaults, or a JSON string with parse, layout, and svg options. The shared schema is documented in docs/bindings/OPTIONS_JSON.md.

Generate Locally

This directory intentionally does not commit generated binding source or native libraries. Generate them from a local merman-uniffi cdylib:

cargo build -p merman-uniffi --features bindgen-smoke
cargo run -p merman-uniffi --features bindgen-smoke --example generate_python_package -- \
  --package-dir platforms/python/merman

The generator writes:

• src/merman/merman_uniffi.py
• src/merman/merman_uniffi.dll on Windows
• src/merman/libmerman_uniffi.so on Linux
• src/merman/libmerman_uniffi.dylib on macOS

The native library must sit beside the generated module because UniFFI's Python loader resolves the library relative to the generated file.

After generation, a local smoke can import the package by putting src on PYTHONPATH:

PYTHONPATH=platforms/python/merman/src python -c "import merman; print(merman.MermanEngine().render_svg('flowchart TD\nA[Hello]', None)[:4])"

Or run the example script:

PYTHONPATH=platforms/python/merman/src python platforms/python/merman/examples/smoke.py

Build a local platform wheel and run an install smoke:

python3 scripts/build-python-uniffi-wheel.py --run-smoke

The wheel is platform-specific because it bundles merman-uniffi as a native .so, .dylib, or .dll. Tag releases run release-python.yml, attach platform wheels to the GitHub Release, and publish the merman distribution to PyPI when Trusted Publishing is configured.

License

This package is dual-licensed under either Apache-2.0 or MIT. See LICENSE for the full license texts. Mermaid compatibility and upstream Mermaid MIT attribution are documented in THIRD_PARTY_NOTICES.md.