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Dependency graph analyzer for code, tests, docs, and policy surfaces. A tiny launcher that downloads + SHA256-verifies the prebuilt code_graph + code_graph-mcp binaries on first run.

Project description

rensoai-code-graph (PyPI distribution wrapper)

This package is still published for distribution compatibility, but customer-facing install docs live at https://cg.renso.ai/docs#install and document only the curl/script installer. The PyPI artifacts are per-platform wheels with the prebuilt code_graph and code_graph-mcp binaries bundled.

Files in this directory

  • pyproject.toml — Hatch backend, [project.scripts] entries, pinned cibuildwheel matrix
  • src/rensoai_code_graph/ — Python package: launcher + console-script entry points
  • scripts/build_wheels.py — release-time wheel builder
  • README.md — what users see on PyPI

Per-platform wheel matrix

Wheel tag Binary target
py3-none-manylinux_2_28_x86_64.whl x86_64-unknown-linux-gnu
py3-none-manylinux_2_28_aarch64.whl aarch64-unknown-linux-gnu
py3-none-macosx_10_12_x86_64.whl x86_64-apple-darwin
py3-none-macosx_11_0_arm64.whl aarch64-apple-darwin
py3-none-win_amd64.whl x86_64-pc-windows-msvc

Each wheel is py3-none-<platform> so end users only ever pull one wheel per machine, regardless of Python version.

No sdist

pyproject.toml excludes everything from the sdist target. Only wheels go to PyPI — there is no source distribution that could trick a user (or a downstream build system) into compiling from source.

How a release ships wheels

.github/workflows/release.yml job publish-pip:

  1. Downloads the prebuilt-binary tarballs from dist/.
  2. Runs scripts/build_wheels.py which, per platform:
    • Templates src/rensoai_code_graph/__version__.py with the release version.
    • Copies the matching binary into src/rensoai_code_graph/_binaries/.
    • Runs python -m build --wheel (Hatch backend) targeting the correct platform tag.
  3. twine upload ships all wheels to PyPI.

Project details


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