metaphysica 2.0.2

G2-manifold-derived theoretical physics framework: 125 derived constants, quark + constant datasheet API, bundled static-website generator.

metaphysica

G2-manifold-derived theoretical physics framework: 125+ derived constants, a uniform Get() JSON-datasheet API for quarks + physics constants, and a bundled static-website generator.

Installation

pip install metaphysica            # slim core: numpy / scipy / sympy / mpmath / eml-math
                                   #   → enough for the Get() datasheet API
pip install metaphysica[sims]      # + eml-spectral (advanced algebras for the sim engine)
pip install metaphysica[plots]     # + matplotlib + pandas (plot regeneration)
pip install metaphysica[pdf]       # + xhtml2pdf (PDF paper export)
pip install metaphysica[full]      # everything above (recommended for `metaphysica-build`)
pip install metaphysica[dev]       # + pytest, black, mypy, build, twine
pip install metaphysica[rust]      # + optional Rust acceleration (see below)

metaphysica ships with py.typed, so type checkers see it as fully typed.

Optional Rust acceleration

metaphysica ships an optional Rust core (rust/physica_core/) that mirrors the Python public API behind a _HAS_RUST guard. The pure-Python install path is always the default; the Rust extension is strictly opt-in:

# Build via maturin (recommended for ad-hoc development):
pip install maturin
maturin develop --features python

# Or via pip extras (uses the [tool.maturin] section in pyproject.toml):
pip install metaphysica[rust]

When the extension is built, metaphysica._physica_core becomes importable and metaphysica._HAS_RUST flips to True; if it is missing (slim install, unsupported platform, or build skipped) every call transparently falls back to the pure-Python implementation. The slim pip install metaphysica path is unchanged and never invokes Rust.

Get() — datasheet API

metaphysica.Get(name) returns a JSON-shaped datasheet for any quark or named physics constant. It's the entry point that downstream layers (periodica, future apps) consume.

import metaphysica

metaphysica.Get('Up')['Mass_MeVc2']                       # 2.16
metaphysica.Get('Top')['pm_prediction']['phi_scaling_N']  # 0
metaphysica.Get('m_planck')['value']                      # 2.435e18
metaphysica.Get('alpha_em')['value']                      # 0.00729735...

metaphysica.list_quarks()                                 # 12 names (6 SM + 6 anti)
metaphysica.list_constants()                              # ~35 curated constants

Quark name aliases (case-insensitive): "Up", "up", "u", "Up Quark", "AntiUp", "anti-up", …

The quark schema is a strict superset of periodica's data/active/quarks/*.json — every periodica field plus a pm_prediction block (Yukawa φ-scaling N, predicted mass, EML expression, CKM couplings) and a _provenance block.

For shell use: metaphysica.Get('Up', as_json=True) returns a JSON string instead of a dict.

Bundled snapshots

Every entry returned by Get() is a pre-generated JSON shipped inside the wheel (metaphysica/data/quarks/, metaphysica/data/constants/, metaphysica/data/parameters.json), so calls do not re-run the simulation. To regenerate the snapshots after touching the underlying theory:

python -m metaphysica.generators.generate_datasheets
# or, equivalently:
metaphysica-datasheets

This step is also wired into metaphysica.build so a full website build refreshes them automatically.

Build pipeline

from metaphysica import build
build(out_dir='./site')   # full build: sims + JSON + JS + HTML + datasheets + plots + PDF

Or from the shell:

metaphysica-build                   # rebuild into the current directory
metaphysica-build --out ./site      # rebuild into ./site
metaphysica-build --fast            # skip plot regeneration
metaphysica-build --skip-sims       # only refresh downstream generators
metaphysica-build --only "EML"      # run a single step

Steps whose optional extras are missing are skipped with a friendly install hint, so a slim install never produces a broken build.

Compatibility

• Python 3.9 – 3.13
• OS: Linux, macOS, Windows (pure Python wheel, no native deps in the slim install)

Testing

pip install metaphysica[full,dev]
pytest                              # 655 tests, ~20s

Stack

The EML stack is layered. Each layer's Get(name) returns a JSON datasheet derived from that layer's theory:

Layer	Package	Get() returns
Maths	eml-math	math constants (e, π, φ, …)
Physics	metaphysica (this package)	quarks + physics constants
Materials	periodica (future)	element / compound datasheets

Related repositories

• PrincipiaMetaphysica — thin static-site host. Calls metaphysica.build() to render and serve the rendered theory site at metaphysicæ.com.
• metaphysica-app — interactive PC + mobile (APK) GUI on top of metaphysica. Browse the framework, explore constants, run derivations interactively.

Changelog

See CHANGELOG.md for the v1.0.0 release notes.

License

Apache-2.0 — see LICENSE.