Shacl Python Packages

pyshacl

A Python validator for SHACL

pyshifty

Fast vibe-coded shacl validation+inference

schemasheets

Structure your data in a FAIR way using google sheets or TSVs. These are then converted to LinkML, and from there other formats

shacl-rules

Python library for SHACL 1.2 Rules Language (SRL)

neverblink-linkml

A fast, portable (JS/JVM/native), and robust implementation of LinkML for cross-language data modeling

purrdf

PurRDF — one RDF 1.2 engine, one behavior, in Rust, Python, WebAssembly and C. Deterministic BM25 full-text search, exact GeoSPARQL 1.1 and embedding kNN answered from SPARQL, in-process, over one dataset: the three jobs a triple store usually kept PostgreSQL beside it for. Plus native codecs, RDFC-1.0, SHACL, ShEx, entailment and GTS transport.

open-ontologies-lite

Plan, apply and roll back changes to a production ontology, with a blast radius report and a proof an auditor can re-check.

linkedparticles-core

Particles client library — schema models, confidence math, candidate extraction, conformance validation, interchange codec. PyPI: linkedparticles-core

linkml-model

Link Modeling Language (LinkML) model

sstim

SSTIM: the open formalized knowledge standard for describing sensory stimulation. RDF vocabulary, SHACL profiles, JSON-LD context, and SSTIM Workbench, its open reference environment. Developed in the W3C Sensory Stimulation Vocabulary Community Group.

shaclc

A Python SHACL Compact Syntax parser and serializer.

ontoink

Interactive ontology visualization, SHACL validation, and live TTL editing plugin for MkDocs. Publication-ready diagrams with formal notation.

travshacl

A SHACL validator capable of planning the traversal and execution of the validation of a shape schema to detect violations early.

cmem-plugin-pyshacl

Validate your Knowledge Graphs based on tests generated from SHACL shapes.

cmem-plugin-shapes

Generate SHACL shapes from an instance data graph.

rdfmapper

A declarative Object-RDF Mapper for Python — map Python classes to RDF graphs using decorators, with SHACL validation and dynamic SPARQL queries.

purrdf-rdflib

PurRDF — one RDF 1.2 engine, one behavior, in Rust, Python, WebAssembly and C. Deterministic BM25 full-text search, exact GeoSPARQL 1.1 and embedding kNN answered from SPARQL, in-process, over one dataset: the three jobs a triple store usually kept PostgreSQL beside it for. Plus native codecs, RDFC-1.0, SHACL, ShEx, entailment and GTS transport.

kglab

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.

nexusforge

Building and Using Knowledge Graphs made easy

websemantic

Language models prepare scientific simulations without guessing: one descriptor per code gives a contract, an ontology with SHACL shapes, a validator and FAIR metadata; the original codes stay pinned and unchanged (TLS, LQL-Equiv, pyrcel).

rdfsolve

Generate, export and use RDF schemas.

interpretme

An interpretable machine learning pipeline over knowledge graphs

blathers

Python CLI for ontology documentation — bridges auto-extracted OWL/SHACL definitions with Markdown narrative, validates, and builds static HTML sites.

trustgraph-parquet

Connect ontology-grounded context graphs with deterministic AI agent governance to enforce business rules before execution and preserve decision evidence.