pymantic
Semantic Web and RDF library for Python
Decision gist · record as of 2026-08-14
Yes, if you need RDF parsing and querying in Python. The library has low install friction, permissive licensing, and no known vulnerabilities. However, maintenance is aging (316 days since last release), so evaluate whether the project's pace suits your stability requirements. For active semantic web projects, verify that its SPARQL support and format coverage meet your specific needs.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or higher.
- Low install friction; pure Python wheel with six runtime dependencies (requests, lxml, rdflib, lark, pytz, pyld).
- Maintenance status is aging—last release was 316 days ago and the repository shows 19 stars, though it remains unarchived and the last commit is recent.
License · maintenance · safety
BSD (permissive) — BSD permissive license allows commercial and private use with minimal restrictions, making it suitable for most projects that can accommodate attribution.
last release 2025-10-02 (316 days) · last repo commit 2025-10-02 · 19 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 130,882 downloads/mo, #11,621 on PyPI
Alternatives
Verify before relying
from pymantic.rdf import Resource, Prefix
from pymantic.parsers import turtle_parser
import requests
Resource.prefixes['foaf'] = Prefix('http://xmlns.com/foaf/0.1/')
graph = turtle_parser.parse(requests.get('https://example.org/data.ttl').text)
resource = Resource(graph, 'http://example.org/item')
name = resource.get_scalar('foaf:name')- Whether the aging maintenance status (316 days since last release) affects stability or security for production use.
- Performance characteristics when working with large RDF graphs or high-volume SPARQL queries.
- Completeness of SPARQL 1.1 support and any known limitations in query dialect coverage.
What it is and what it does
Pymantic is a Python library for working with RDF (Resource Description Framework) and semantic web data. It provides parsers for Turtle, N-Triples, and N3 formats, allowing you to load RDF graphs from files or HTTP sources and query them using a Python API. It also includes a SPARQL client for querying remote RDF endpoints.
The library is built on top of rdflib and uses lark for parsing, requests for HTTP access, and pyld for linked-data operations. It's intended for developers working with linked data, knowledge graphs, or semantic web applications who need to parse, manipulate, and query RDF data programmatically in Python.
Use it for
- Parse Turtle or N-Triples files and query the resulting RDF graph using Python objects and methods.
- Fetch and process RDF data from remote HTTP sources or SPARQL endpoints.
- Build knowledge graph applications that need to work with linked data and semantic relationships.
- Extract scalar values and relationships from RDF resources using prefix-qualified property names.
- Integrate RDF data processing into Python applications without writing raw SPARQL queries.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need RDF parsing and querying in Python.
The library has low install friction, permissive licensing, and no known vulnerabilities. However, maintenance is aging (316 days since last release), so evaluate whether the project's pace suits your stability requirements. For active semantic web projects, verify that its SPARQL support and format coverage meet your specific needs.
Install
pymantic on PyPI
Before you install
Low install friction; pure Python wheel with six runtime dependencies (requests, lxml, rdflib, lark, pytz, pyld). Maintenance status is aging—last release was 316 days ago and the repository shows 19 stars, though it remains unarchived and the last commit is recent.
Requires Python 3.9 or higher.
License in practice
BSD permissive license allows commercial and private use with minimal restrictions, making it suitable for most projects that can accommodate attribution.
Quickstart
from pymantic.rdf import Resource, Prefix
from pymantic.parsers import turtle_parser
import requests
Resource.prefixes['foaf'] = Prefix('http://xmlns.com/foaf/0.1/')
graph = turtle_parser.parse(requests.get('https://example.org/data.ttl').text)
resource = Resource(graph, 'http://example.org/item')
name = resource.get_scalar('foaf:name')Verify before relying
- Whether the aging maintenance status (316 days since last release) affects stability or security for production use.
- Performance characteristics when working with large RDF graphs or high-volume SPARQL queries.
- Completeness of SPARQL 1.1 support and any known limitations in query dialect coverage.
Package facts
| License | BSD permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesrequestslxmlpytzrdfliblarkpyld |
| Maintenance | Aging 316 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 130,882 / month, #11,621 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: BSD LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.9Topic :: Internet :: WWW/HTTPTopic :: Scientific/Engineering :: Information AnalysisTopic :: Text Processing :: Markup |
Evidence: pymantic-1.0.1-py3-none-any.whl
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See also pystardog · rdflib · pyoxigraph · SPARQLWrapper · sparqlslurper · PyShEx · pyshacl · CFGraph · owlready2 · semanticscholar