OntoEnv¶

A fast, lightweight environment manager for RDF ontologies — resolve imports, compute transitive closures, and work with ontology graphs from the CLI, Python, or Rust.

pip install ontoenv cargo install ontoenv-cli

Import resolution — Follows owl:imports declarations to fetch and cache every transitive dependency.
Dependency graph — Builds a petgraph-backed directed graph for querying closures, finding roots, and detecting cycles.
Fast on-disk store — Persists the environment in a compact binary RDF5D format; restores in milliseconds without re-parsing.
Python bindings — Full PyO3 bindings expose every feature to Python, with native rdflib graph interop.
Flexible filtering — Glob and regex filters on file paths and ontology IRIs let you include exactly what you need.
Remote caching — Fetches remote ontologies over HTTP and caches them locally with a configurable TTL.

Quick start¶

# Initialize a workspace from a directory of ontology files
ontoenv init ./ontologies

# List everything that was discovered
ontoenv list ontologies

# Get the full transitive closure for one ontology
ontoenv closure https://example.com/myOntology

from ontoenv import OntoEnv

env = OntoEnv(
    path=".",
    recreate=True,
    search_directories=["./ontologies"],
    includes=["*.ttl"],
)

# Get a merged rdflib graph of an ontology and all its imports
g = env.get_closure("https://example.com/myOntology")

Explore the docs¶

Getting Started — Installation, first workspace, filters, and the Python quickstart.
Python API — Full reference for the ontoenv Python package.
CLI Reference — All subcommands, flags, and configuration options.
Rust API — Auto-generated crate docs on docs.rs.
Changelog — Release history and what changed in each version.

Need a plain-text snapshot for LLM ingestion? Grab llms.txt.