enola

Architectural regression testing for AI-assisted development.

Catch structural regressions that builds and tests cannot see: new dependency cycles, violated layer boundaries, undeclared service dependencies, and changes that spread beyond their intended scope.

Enola maps your codebase before a change and compares it with the structure afterward. The result is about this change, not every problem already in the repository, and only the rules you choose can fail the build.

  • Exact, local measurement. Parsed source and graph algorithms. No model, no embeddings, no upload, no account, no license check.
  • One graph across the repository. 23 languages and formats, detected automatically and combined into one baseline and verdict.
  • One loop everywhere. Your coding agent reads the graph before it edits and receives the verdict afterward. The same check runs from the CLI or in CI.

Install

pip install enola-cli

The command is enola. This package ships a prebuilt binary, so there is no Python dependency at run time and nothing is importable from Python.

Try it read-only

enola --explain /path/to/your/repo

No baseline, config file or MCP client, and nothing is written to disk. Enola prints the architecture it measured (patterns, cycles, layer violations, hotspots, blast radius and structural outliers) and exits.

Documentation

Full documentation, including the CLI reference and architecture internals, lives at https://github.com/enola-labs/enola.

Project links

Data verified by PyPI on Sep 6, 2026
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  • Released:
Newer release available (0.4.16)

1 maintainer

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Avatar for dejo1307 from gravatar.com dejo1307

GitHub Statistics

Data verified by PyPI on Sep 6, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

Apache-2.0
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Requires

Python >=3.8

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0.4.16

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