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PyLODE

An OWL ontology documentation tool using Python and templating, based on LODE

Install / Use

/learn @RDFLib/PyLODE
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

pyLODE logo PyPI version

pyLODE

An OWL ontology documentation tool using Python, based on LODE.

In addition to making web page, human-readable forms of ontologies, pyLODE encourages ontology annotation best practice by only producing good results for well documented inputs! pyLODE defines what it considers “well documented” in sections below, e.g. What pyLODE understands.

New mode: In v3.1.0, pyLODE now has a new mode called supermodel, in addition to the existing ontpub mode. This new mode allows for documenting profiles and modules of multipart models. See supermodel.md for more information.


A note on the v 3.x change

This is pyLODE version 3.0.1 and it’s vastly different from pyLODE 2.x. It doesn’t yet handle all the various “profiles” that pyLODE 2.13.2 does, such as SKOS “vocabularies” & Profiles Vocabulary “profiles”, it only handles OWL “ontologies”, nor all the special data types, such as JSON literals.

However, it generates HTML in a much more straightforward manner and the code is both more efficient and much more maintainable, which is why it’s been made.

v 3.x will eventually catch up to all of v 2.13.2’s features.

To access v 2.13.2 of pyLODE, either:


Contents

  1. Quick Intro
  2. Use
  3. What pyLODE understands
  4. Examples
  5. Installation
  6. Testing
  7. Differences from LODE
  8. Releases
  9. License
  10. Citation
  11. Collaboration
  12. Contacts

Quick Intro

The Live OWL Documentation Environment tool
(LODE) is a well-known (in Semantic Web circles) Java & XSLT-based tool used to generate human-readable HTML documents for OWL and RDF ontologies. That tool is now a bit dated and its online version is not always online.

This tool is a complete re-implementation of LODE’s functionality using Python and Python’s RDF manipulation module, rdflib. An ontology to be documented is parsed and inspected using rdflib and HTML is generated directly using Python’s dominate package.

Use

The tool can be used in multiple ways:

  • BASH command line script
    • pyLODE.sh in bin/
  • Windows EXE
    • pyLODE.exe in bin/
  • Mac executable
    • pyLODE in bin/
  • Python script
    • cli.py or module
  • As-a-service locally
  • As-a-service online
    • https://tools.kurrawong.ai/pylode

Command line arguments

usage: cli.py [-h] [-v] [-o OUTPUTFILE] [-c {true,false}] input

positional arguments:
    input                 Input file location or URL

optional arguments:
    -h, --help            show this help message and exit
    -v, --version         show program's version number and exit
    -o OUTPUTFILE,
    --outputfile OUTPUTFILE
                          Output file name (postfixed with .html if needed)
    -c {true,false},
    --css {true,false}
                          Include CSS in the output HTML

Basic Use

As a Python script

python pylode examples/ontpub/minimal.ttl -o minimal.html

As a Docker container

docker build -t pylode:latest .
docker run --mount 'type=bind,src=<ttl_directory>,target=/app/pylode/data' \
  pylode:latest python3.10 pylode/cli.py data/<ttl_file> -o data/<html_file>

Note: <ttl_directory> must be absolute

Via a stand-alone server

The pyLODE server uses the popular Falcon framework to implement a lightweight web api.

It can be run standalone as a single-thread, single process HTTP server, or more robustly as a WSGI application with GUnicorn.

In all launch methods listed here, the server will be available at http://localhost:8000 for the landing page and http://localhost:8000/pylode for the active endpoint.

The active endpoint accepts the following querystring parameters:

  • url for the absolute URL of the ontology document that you wish to render. The server hosting that ontology document must be capable of responding to Content Negotiation, i.e. it must supply RDF according to an HTTP Accept request for text/turtle, application/rdf+xml etc.
  • profile for the profile to use to generate HTML. Must be one of:
    • ontpub (https://linked.data.gov.au/def/ontpub) for ontologies. This is the default if no profile is provided.
    • vocpub (https://linked.data.gov.au/def/vocpub) for SKOS vocabularies
    • supermodel for profiles of profiles
  • sort to indicate whether subjects should be sorted in the rendered output. Must be one of:
    • true to sort the subjects (this is the default)
    • false to NOT sort the subjects

Here's an example of use with the AGIF Ontology using the source in this repository:

http://localhost:8000/pylode?url=https://raw.githubusercontent.com/RDFLib/pyLODE/refs/heads/master/examples/ontpub/agrif.ttl

The LODE responses generated by the server can be globally customised by setting the following optional environment variables:

  • CSS_URL can be set to the absolute URL of a CSS stylesheet hosted elsewhere that should be referenced by pyLODE documents
  • FAVICON_URL can be set to the absolute URL of a favicon image hosted elsewhere that should be referenced by pyLODE documents
  • FAVICON_MIME should be set to the MIME type of the resource at FAVICON_URL if that has been configured (e.g. ``image/png`)
  • GTAGID can be set to a Google Analytics Tag ID that you would like to use for tracking requests to your server.

Launch the pyLODE server standalone from your local directory:

You will need a few extra python modules installed locally:

pip install bs4 falcon validators

You can then run the pyLODE Server in standalone mode like this:

python -m pylode.server

Build and run the docker image for the pyLODE Standalone Server:

docker build --target=pylode-server -t pylode-server:latest .
docker run --rm -p 8000:8000 pylode-server:latest

Build and run the docker image for the pyLODE GUnicorn Server:

docker build --target=pylode-gunicorn -t pylode-gunicorn:latest .
docker run --rm -p 8000:8000 pylode-gunicorn:latest

Module Use

For OWL

from pylode.profiles.ontpub import OntPub

od = OntPub(ontology="some-ontology-file.ttl")
html = od.make_html()
od.make_html(destination="some-resulting-html-file.html")

For SKOS

from pylode.profiles.vocpub import VocPub

od = VocPub(ontology="some-ontology-file.ttl")
html = od.make_html()
od.make_html(destination="some-resulting-html-file.html")

Examples

The examples/ directory contains multiple RDF & HTML pairs.

Rendered examples:

What pyLODE understands

pyLODE understands definitional ontologies (owl:Ontology), classes, and properties.

Supported properties can be found in rdf_elements.py.

pyLODE deliberately does not translate everything in RDF to HTML, enforcing a conventional ontology documentation style. Support for new patterns can be requested via the issue tracker.

Notes on Agents

pyLODE supports simple and complex Agent objects, including ORCIDs, affiliations, and contact details.

<ontology_x>
    schema:creator [
        schema:name "Nicholas J. Car" ;
        schema:identifier <http://orcid.org/0000-0002-8742-7730> ;
        schema:email "nick@kurrawong.ai"^^xsd:anyURI ;
        schema:affiliation [
            schema:name "KurrawongAI" ;
            schema:url "https://kurrawong.ai"^^xsd:anyURI ;
        ] ;
    ] ;
.

Installation

pyLODE is available on PyPI:

pip install pylode

Testing

python -m pytest tests --disable-warnings

Differences from LODE

  • command line access
    • you can use this on your own desktop so you don't need me to maintain a live service for use
  • use of modern simple HTML
    • no JavaScript: pyLODE generates static HTML pages
  • catering for a wider range of ontology options such as:
    • schema.org domainIncludes & rangeIncludes for properties
  • better Agent representation
  • smarter CURIES
    • pyLODE caches and looks up well-known prefixes to make more/better CURIES
    • it tries to be smart with CURIE presentation by CURIE-ising all URIs it finds, rather than printing them
  • reference ontologies property labels
    • pyLODE caches ~ 10 well-known ontologies (RDFS, SKOS etc), properties from which people often use for their ontology documentation. Where these properties are used, the background ontology's labels are use
  • active development
    • pyLODE has been under active development since mid-2019 and is still very much actively developed - it's not just staying still
    • it will be improved in foreseeable to cater for mo
View on GitHub
GitHub Stars212
CategoryDevelopment
Updated8m ago
Forks74

Languages

Python

Security Score

100/100

Audited on Mar 30, 2026

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