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rdflib Compatibility

Python’s rdflib is the incumbent RDF library of the ecosystem, and PurRDF meets it in two tiers: an explicit compat module, and an opt-in drop-in shadow.

Tier 1: the explicit compat layer

The main purrdf wheel ships an rdflib compatibility layer backed by the native engine:

from purrdf.compat.rdflib import Graph

g = Graph()
g.parse(data="<https://example.org/a> <https://example.org/b> <https://example.org/c> .",
        format="turtle")

This is the recommended path for new code that wants an rdflib-shaped API on the PurRDF engine: the import name is honest, and it coexists with a genuine rdflib installation.

Tier 2: the purrdf[rdflib] shadow distribution

For a literal, zero-change import rdflib, install the opt-in extra:

pip install purrdf[rdflib]

This pulls in the separate purrdf-rdflib distribution, whose top-level rdflib package re-exports the compat surface, so existing third-party code doing import rdflib / from rdflib.namespace import RDF transparently runs on purrdf. Caveat: that shadow claims the rdflib import name and must never be installed alongside the genuine rdflib — the two cannot co-inhabit one environment. It is a separate distribution (never bundled into the main purrdf wheel) precisely so environments that need the real rdflib simply omit it.

How compatibility is kept honest

The compat layer is not “best effort” — it is gated in CI as part of the single conformance matrix (docs/CONFORMANCE.md):

  • The rdflib drop-in (LSP) gate runs rdflib 7.6’s own vendored test suite against the purrdf drop-in.
  • The parity suite runs first-party differential tests of purrdf.compat against the real rdflib 7.6.

Both use strict expected-failure ledgers: every known divergence is listed with a per-test reason, an unexpected failure breaks the build, and a silently fixed divergence also breaks the build until the ledger shrinks. The ledgered residuals cover corners like Graph-subclass identity through set operators, rdf:List/Collection mutation, Result.bindings / SELECT * subselect projection, graph-prefix forwarding, and legacy ConjunctiveGraph semantics — consult the ledgers for the current, exact list.

Performance

A report-only benchmark harness times the native-backed purrdf.compat.rdflib drop-in against the real rdflib on parse, serialize, SPARQL, and triple-pattern iteration (make bench-python). Methodology and a representative (host-dependent) results table live in docs/BENCHMARKS.md — numbers vary by host, so reproduce locally rather than trusting a fixed multiplier. See Performance for the philosophy.