Shacl Python Packages

pyshacl

A Python validator for SHACL

trustgraph-embeddings-hf

Write context once. Run agents anywhere. Own your data and the models.

pyshifty

Fast vibe-coded shacl validation+inference

trustgraph-base

Write context once. Run agents anywhere. Own your data and the models.

trustgraph-cli

Write context once. Run agents anywhere. Own your data and the models.

trustgraph-vertexai

Write context once. Run agents anywhere. Own your data and the models.

trustgraph-flow

Write context once. Run agents anywhere. Own your data and the models.

trustgraph-ocr

Write context once. Run agents anywhere. Own your data and the models.

trustgraph

Write context once. Run agents anywhere. Own your data and the models.

trustgraph-bedrock

Write context once. Run agents anywhere. Own your data and the models.

schemasheets

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

trustgraph-mcp

Write context once. Run agents anywhere. Own your data and the models.

shacl-rules

Python library for SHACL SRL https://pypi.org/project/shacl-rules/0.1.3/

trustgraph-unstructured

Write context once. Run agents anywhere. Own your data and the models.

linkml-model

Link Modeling Language (LinkML) model

purrdf

PurRDF — one RDF 1.2 engine, one behavior, every language: interned primitives, Turtle/TriG/N-Quads/RDF-XML/JSON-LD codecs, RDFC-1.0, SPARQL 1.1/1.2, SHACL Core, GTS graph transport, and Python/WebAssembly/C bindings.

ontoink

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

cmem-plugin-pyshacl

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

travshacl

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

open-ontologies-lite

AI-native ontology engine: a Rust MCP server with tools for building, validating, querying, and reasoning over RDF/OWL ontologies. In-memory Oxigraph triple store, native OWL2-DL tableaux reasoner, SHACL validation, SPARQL, versioning. Single binary, no JVM.

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.

cmem-plugin-shapes

Generate SHACL node and property shapes from a data graph.

shaclapi

An API implementing optimizations over SHACL validators.

interpretme

An interpretable machine learning pipeline over knowledge graphs