Skip to main content

A modern pure-Python implementation of FieldML 0.5 with evaluation engine and biomechanics model zoo.

Project description

pyfieldml

A modern, pure-Python implementation of FieldML 0.5 with a full evaluation engine, interop bridges (meshio, PyVista, XDMF, scikit-fem, OpenSim-adjacent), and a curated biomechanics model zoo.

FieldML is the Physiome Project's declarative markup language for representing mathematical fields over discrete meshes — used across computational physiology (cardiac, musculoskeletal, respiratory modeling). The original C++ FieldML-API has been effectively unmaintained since 2015. pyfieldml is an independent reimplementation that brings FieldML into the modern scientific-Python ecosystem.

Status: design phase. The approved design spec lives at docs/superpowers/specs/2026-04-18-pyfieldml-design.md. Implementation plan and phased build are next.

What it will do (v1.0)

  • Full FieldML 0.5 read + write, round-trip validated against the C++ reference test suite
  • Legacy read of FieldML 0.3 and 0.4 (auto up-conversion to 0.5)
  • Evaluation engine with Lagrange (orders 1–2) and cubic Hermite-with-scaling bases
  • Field.evaluate(element, xi), vectorized Field.sample(points), Jacobians
  • High-level builders: add_lagrange_mesh, add_fiber_field, add_material_field, add_landmark_set, …
  • Interop: meshio (two-way), PyVista (doc.plot(), doc.explore()), XDMF, scikit-fem, OpenSim-compatible asset export
  • CLI: pyfieldml inspect | validate | convert | plot | lint | diff
  • Curated model zoo: pyfieldml.datasets.load_femur(), load_rectus_femoris(), load_myocardium()
  • Docs site with jupyter-lite in-browser runnable notebooks
  • JOSS paper submitted alongside v1.0

License

Apache 2.0. See LICENSE and NOTICE.

Install

pip install pyfieldml

Development:

git clone https://github.com/kchemorion/pyfieldml
cd pyfieldml
uv sync --extra dev
uv run pytest

Quickstart

import pyfieldml as fml

doc = fml.read("model.fieldml")
print(doc.source_version)          # "0.5.0", "0.4", "0.3"
doc.validate()                     # XSD validation
doc.write("roundtripped.fieldml")

Phase 0 ships I/O and DOM-level round-trip. The semantic object model, evaluation engine, interop bridges, and model zoo arrive in later phases — see the design spec and plans.

Acknowledgments

pyfieldml is an independent Python reimplementation inspired by and validated against the C++ FieldML-API. Credit to its original authors — Caton Little, Alan Wu, Richard Christie, Andrew Miller, and Auckland Uniservices Ltd / the Auckland Bioengineering Institute — and to the Physiome Project community that maintains the FieldML specification.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyfieldml-0.1.0.tar.gz (132.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyfieldml-0.1.0-py3-none-any.whl (31.9 kB view details)

Uploaded Python 3

File details

Details for the file pyfieldml-0.1.0.tar.gz.

File metadata

  • Download URL: pyfieldml-0.1.0.tar.gz
  • Upload date:
  • Size: 132.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for pyfieldml-0.1.0.tar.gz
Algorithm Hash digest
SHA256 3c7bd80339f3cddb354f53e871f8e22b3c3f5243be171dfb70d8c28bac4676d0
MD5 6e860b92e6eda7fa931d125a13ba98d4
BLAKE2b-256 f9f6593d73c243a530cec7880e96369fb5c6522815482624012f8553204345de

See more details on using hashes here.

Provenance

The following attestation bundles were made for pyfieldml-0.1.0.tar.gz:

Publisher: release.yml on kchemorion/pyfieldml

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pyfieldml-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: pyfieldml-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 31.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for pyfieldml-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f67843323cf1e11a8450c94494be8088d13d17d67f12b69bde10ec635c3eacca
MD5 d27e9be6968a243b9ef1b743970c0b4c
BLAKE2b-256 f1c5993709c8dbf30fba00d675b8fbaed9c26634f86004dba8d197401b2feb19

See more details on using hashes here.

Provenance

The following attestation bundles were made for pyfieldml-0.1.0-py3-none-any.whl:

Publisher: release.yml on kchemorion/pyfieldml

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page