Compiled native core for pygx: Rust-backed symbolic storage and construct/attribute fast paths for pg.Object.

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  • License: Apache Software License (Apache-2.0)
  • Author: PyGX Authors
  • Tags pygx , symbolic , rust , pyo3
  • Requires: Python <3.15, >=3.12
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pygx-core

The compiled native core for PyGX: a Rust (PyO3) extension that backs pg.Object and the symbolic containers with native storage and construct/attribute fast paths, reaching dataclass/pydantic-level performance while preserving the full symbolic feature set.

This package exposes the pygx_core module (the pygx_core._native extension). It never imports pygx; pygx selects it via the PYGX_CORE environment variable and integrates through a marker/callback contract.

Install pygx to use it — pygx-core is its compiled accelerator, not a standalone library.

Compatibility

Per-version wheels are published for CPython 3.12–3.14 on Linux, macOS, and Windows — plus, from pygx-core ≥ 0.1.2, a wheel for the free-threaded 3.14t build that is genuinely free-threaded: the module declares gil_used = false, the GIL stays off, and the threading contract (crash freedom; per-operation atomicity, scoped per node / per field for multi-node walks and multi-field operations; parallel reads always safe — see the pygx repo's docs/design/gil-free.md §3) is exercised by a dedicated stress CI job. The extension is not abi3 (limited-API) compatible: it installs raw PyTypeObject slots that depend on the concrete CPython type layout.

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Apache License 2.0.

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  • License: Apache Software License (Apache-2.0)
  • Author: PyGX Authors
  • Tags pygx , symbolic , rust , pyo3
  • Requires: Python <3.15, >=3.12
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0.2.0

0.1.1

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