pyrere 0.1.0

Code Knowledge Graph: static analysis + LLM-assisted refactoring pipeline

pyrere (Python Repo Review)

Code Knowledge Graph — static analysis + LLM-assisted refactoring pipeline for Python repositories.

pyrere parses a Python repository with tree-sitter, builds a typed graph of modules, classes and functions, optionally enriches it with pyright / grimp / pycg, annotates it with static-analysis issues (ruff, vulture, bandit), and opens an interactive in-browser viewer.

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Installation

pip install pyrere

With optional enrichment / flow tools:

pip install "pyrere[all]"          # everything
pip install "pyrere[flow]"         # ruff + vulture + bandit
pip install "pyrere[enrichment]"   # pyright + grimp + pycg

Note — pyright requires Node.js: pyright is a Node.js program installed via a thin pip shim. pip install pyrere[enrichment] will succeed on machines without Node.js, but running the enrichment step will fail at runtime. Install Node.js 18+ from https://nodejs.org before using the enrichment extra. pyrere degrades gracefully when pyright is absent — the enrichment step is simply skipped with a printed warning.

Note — pycg compatibility: pycg (a points-to call-graph tool included in the enrichment extra) is a research project with limited maintenance and known install issues on Python 3.11+. pyrere handles a missing or broken pycg gracefully — the call-graph enrichment step is skipped automatically. If you hit install errors with pip install "pyrere[enrichment]" try omitting pycg:

pip install "pyrere[flow]" pyright grimp

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Quick start

# Analyse the current directory and open the viewer
pyrere .

# Analyse a specific repo
pyrere /path/to/your/repo

# Use a custom port (default: 8000)
pyrere /path/to/your/repo --port 8080

The viewer will open at http://localhost:8000.

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Python API

from pyrere import build_graph, enrich_graph, annotate_graph

graph = build_graph("/path/to/repo")
enrich_graph(graph, "/path/to/repo")   # optional: pyright/grimp/pycg
annotate_graph(graph, "/path/to/repo") # optional: ruff/vulture/bandit

print(f"{len(graph.nodes)} nodes, {len(graph.edges)} edges")

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tree-sitter version note

The default install uses the legacy bundle (tree-sitter < 0.22, tree-sitter-languages) which ships pre-compiled grammars for ~100 languages and requires no compiler.

Pre-built wheels for tree-sitter-languages are available for the most common platforms (CPython 3.10-3.12 on Linux x86_64/arm64, macOS, Windows x64). On other platforms (e.g. Alpine Linux, RISC-V, PyPy) pip will attempt to build from source and will need a C compiler (gcc / clang) plus the Python headers (python3-dev / python3-devel).

To use the modern per-language packages instead (no compiler required on all platforms that have a tree-sitter-python wheel), install manually:

pip install "tree-sitter>=0.22" tree-sitter-python

and update dependencies in your local pyproject.toml accordingly.

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Viewer and internet access

The interactive graph viewer loads vis-network from the unpkg CDN at a pinned version. An active internet connection is required the first time the viewer is opened in each browser session.

For offline use, download the JS file once and place it alongside the viewer:

curl -Lo "$(python -c "import pyrere, os; print(os.path.join(os.path.dirname(pyrere.__file__), '_viewer', 'vis-network.min.js'))")" \
  https://unpkg.com/vis-network@9.1.9/standalone/umd/vis-network.min.js

Then edit _viewer/index.html to change the <script src="..."> line to <script src="vis-network.min.js">.

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Development

git clone https://github.com/3ivis/pyrere
cd pyrere
pip install -e ".[dev]"
pytest

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License

MIT