Static analysis for Python projects: detect web apps, frameworks, and entrypoints without importing user code.

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  • License Expression: MIT
    SPDX License Expression
  • Tags fastapi , static-analysis , deployment , detection , uv , workspace
  • Requires: Python >=3.10
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Project description

kenbun

kenbun (見聞 — "seeing and hearing") is a static-analysis library that identifies what kind of Python project lives inside a directory: which projects exist, whether they are web apps or libraries, which framework they use, and where their entrypoint is — without ever importing user code.

It is designed for tools that need to inspect a codebase and decide what to do with it, such as a cloud deploy CLI, a project setup wizard, or a repo analysis service. It understands uv workspaces and is built to also analyze partial file sets (for example, a few files fetched from the GitHub API) rather than only directories on disk.

The full design is in docs/spec.md.

Status: early development. The detection engine described in the spec is being built; the current package only exposes a placeholder API.

Development

Build the extension and run the tests with:

uv run maturin develop --uv
uv run pytest

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Avatar for patrick91 from gravatar.com patrick91
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  • License Expression: MIT
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  • Tags fastapi , static-analysis , deployment , detection , uv , workspace
  • Requires: Python >=3.10
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0.4.0

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