Skip to main content

PyPI - Status

JSON2RDF

Converts JSON to RDF

>>> from json2rdf.json2rdf import j2r
>>> j = {'id':0, 'list': [1,2,3], 'nesting': {'id':1, 'property': 'abc' }}
>>> print(j2r(j))
prefix rdf:                   <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
prefix id:      <urn:example:id:>
prefix prefix:     <urn:example:prefix:>

id:0 prefix:id 0.
id:0 prefix:list _:2432178001088.
id:0 prefix:nesting id:1.
id:1 prefix:id 1.
id:1 prefix:property "abc".
_:2432178001088 rdf:_0 1.
_:2432178001088 rdf:_1 2.
_:2432178001088 rdf:_2 3.
Help on function json2rdf in module json2rdf.json2rdf:

json2rdf(
    data: str | dict,
    *,
    sort=True,
    subject_id_keys=('id',),
    deanon: bool = False,
    object_id_keys={'idref', 'refid'},
    id_prefix=('id', 'urn:example:id:'),
    key_prefix=('prefix', 'urn:example:prefix:')
)
    sort: the triples
    subject_keys: set of keys to create a uri out of in for the *subject*.
        the first key will be used to create a predicate if one does not exist.
        example: {"id": 1, "key":"abc" } ->
            prefix:1 prefix:key "abc".
            prefix:1 prefix:id prefix:1.
        example: case when no id key in data or no id key is set: {"key: "abc"} ->
            prefix:generated prefix:key "abc".
            prefix:generated prefix:id prefix:generated.
    object_keys: set of keys to interpret as a uri out of as an *object*.
        example: {"id": 1, "refid": 2,} ->
            prefix:1 prefix:refid prefix:2.
    deanon: can be set to True to use id_prefix when no id key is present.
        otherwise, a blank/anon node will be used.


Why?

Motivation: This was developed as part of BIM2RDF where the main implementation language is Python and the data sizes from Speckle are not small.

How?

Traversing the (nested) JSON, a conversion is applied to 'expand' data containers, lists and mappings, as triples.

Behavior

is 'entity-driven': data containers must have identifiers.

When no identifier is given, an anoymous/blank node is used. This is close to the 'spirit' of the semantic web. However, this makes the conversion non-deterministic. Reprecussions must be handled by the user.

deanon=True can be passed as an argument which will use id_prefix instead of a blank node. While reading of the rdf will be deterministic, the conversion cannot be considered so.

Nulls are preserved as it would be the 'least surprising' behviour.

Features

none. zilch. nada.

Development Philosophy

  • KISS: It should only address converting (given) JSON to RDF. Therefore, the code is expected to be feature complete (without need for adding more 'features').
  • Minimal dependencies: follows from above. Zero dependencies is possible and ideal. (This would make it easier for a compiled Python version to be created for more performance.)
  • List representation shall not be a linked list.

Metadata

Release files for json2rdf 86

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for json2rdf 86
File Size Uploaded Provenance Actions
json2rdf-86.tar.gz 6.6 kB With provenance Details for json2rdf-86.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for json2rdf 86
File Interpreter ABI Platform Actions
json2rdf-86-py3-none-any.whl Python 3 none any Details for json2rdf-86-py3-none-any.whl

Total release size: 14.2 kB

Release files / json2rdf-86.tar.gz

Download URL json2rdf-86.tar.gz
Size 6.6 kB
Tags Source
SHA-256 checksum
How to use checksums
305ca771ffc81de0010ed63572da5955d8e726e6d235b350f42ddd385f621d46
BLAKE2b-256 checksum
How to use checksums
b032d96f4ed4c0fc85cbd6dff0d98fa8058569e029b2f0bb22c87a7cd23c08e2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jun 5, 2026.

Transparency log

Release files / json2rdf-86-py3-none-any.whl

Download URL json2rdf-86-py3-none-any.whl
Size 7.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ba7161f1f2f83147092d840bfd8ddc8c6beb84b643a1ce12bc7ed80158fd05a1
BLAKE2b-256 checksum
How to use checksums
b7b691a252278e6698de160de486b65f8ebebba24ea291bb891d4a568da8ca8f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jun 5, 2026.

Transparency log

Security for json2rdf 86

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for json2rdf-86.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jun 5, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page