RdfCrate

rdfcrate is a Python package for working with RO-Crates which treats RO-Crates as RDF graphs rather than JSON objects.

Advantages

• Simple API that doesn’t require understanding JSON-LD
• Library of types and properties to speed up development and ensure correctness
• Valid JSON-LD guaranteed
• Type checker friendly

Installation

pip install rdfcrate

Example

Let’s say you have a directory with one file in it, which you want to document. Here’s how you could make an RO-Crate using RdfCrate:

from rdfcrate import AttachedCrate, sdo
from datetime import date

crate = AttachedCrate("crate/")
crate.register_file(
    "monty.jpg", 
    sdo.name(sdo.Text("Montague Street Bridge"))
)
crate.add_root_entity(
    sdo.name(sdo.Text("Melbourne Bridges")),
    sdo.description(sdo.Text("Photo gallery of iconic bridges in Melbourne")),
    sdo.datePublished(sdo.Date(date.today())),
    sdo.license(sdo.URL("https://creativecommons.org/licenses/by/4.0/"))
)
print(crate.compile())

{
  "@context": "https://w3id.org/ro/crate/1.1/context",
  "@graph": [
    {
      "@id": "./",
      "@type": "Dataset",
      "datePublished": {
        "@type": "http://www.w3.org/2001/XMLSchema#date",
        "@value": "2025-10-10"
      },
      "description": "Photo gallery of iconic bridges in Melbourne",
      "hasPart": {
        "@id": "monty.jpg"
      },
      "license": "https://creativecommons.org/licenses/by/4.0/",
      "name": "Melbourne Bridges"
    },
    {
      "@id": "monty.jpg",
      "@type": "File",
      "encodingFormat": "image/jpeg",
      "name": "Montague Street Bridge"
    }
  ]
}