metaobjects 0.19.3

Cross-language metadata standard: declare typed entities once, generate idiomatic drift-checked code across languages — Python port.

MetaObjects (Python)

The Python port of the MetaObjects cross-language metadata standard: declare your typed entity model once, then generate idiomatic, drift-checked code across TypeScript, Java, C#, Python, and Kotlin. The metamodel is the durable spine; generated code is the disposable artifact.

Behavior is verified byte-for-byte against the same shared conformance corpora as every other language port.

Install

pip install metaobjects

Requires Python 3.11+. The only runtime dependency is PyYAML.

Quick start

Load a directory of metadata (*.json canonical or sigil-free *.yaml):

from metaobjects import load_directory

result = load_directory("metaobjects/")   # your *.json / *.yaml metadata files

if result.errors:
    for err in result.errors:
        print(err)          # structured MetaError with a stable ErrorCode
else:
    root = result.root      # the merged metadata tree (a MetaData node)
    print(root)

load_directory, load_uris, and load_string are module-level shortcuts over MetaDataLoader; all return a LoadResult with the same field shape as the other ports.

What's in the package

The primary public API is the loader (load_directory / load_uris / load_string, MetaDataLoader, LoadResult, ErrorCode, MetaError). The distribution also ships the Python implementations of the other pillars used by the CLI and tooling: codegen (Pydantic + FastAPI emit), render (Mustache + payload-VO + verify), runtime (SQLAlchemy-Core object manager), and migrate.

Authoring formats

• Canonical JSON (*.json) — the cross-language interchange shape.
• Sigil-free YAML (*.yaml / *.yml) — the AI-first authoring front-end (ADR-0006). Desugared to canonical JSON at load time. A directory may mix both freely.

AI assistant context

To scaffold MetaObjects context files (.metaobjects/AGENTS.md, .metaobjects/CLAUDE.md, and .claude/skills/metaobjects-*/) into your project so your AI assistant understands how to author metadata and run codegen, use the Node meta CLI:

npx meta agent-docs --server python

(Running metaobjects agent-docs in the Python CLI prints this redirect and exits.)

Links

• Standard, docs, and the other four ports: https://metaobjects.dev
• Source & issues: https://github.com/metaobjectsdev/metaobjects
• Full docs: https://github.com/metaobjectsdev/metaobjects/tree/main/docs

License

Apache-2.0. See LICENSE.