Install codeanalyzer-python v1.3.0
Shell script (installs the canpy CLI via uv / pipx / pip):
curl --proto '=https' --tlsv1.2 -LsSf https://github.com/codellm-devkit/codeanalyzer-python/releases/latest/download/canpy-installer.sh | sh
PyPI:
pip install codeanalyzer-python==1.3.0
For the optional live Neo4j push (--emit neo4j --neo4j-uri ...):
pip install 'codeanalyzer-python[neo4j]==1.3.0'
Download
| File | Description |
|---|---|
| codeanalyzer_python-1.3.0-py3-none-any.whl | Python wheel |
| codeanalyzer_python-1.3.0.tar.gz | Source distribution |
| canpy-installer.sh | Shell installer (uv / pipx / pip) |
| schema.json | Neo4j schema contract |
What's Changed
🛠 Other Changes
- docs(design): spec artifacts/dependencies schema v2 foundation by @rahlk in #158
- feat: schema v2 artifacts, dependencies, and unresolved imports by @rahlk in #160
- docs(skills): Cypher-only graph-analysis skill, shipped as release asset by @rahlk in #161
- feat: ConfigKey family — configuration keys as first-class nodes by @rahlk in #163
- feat: config_use edge — level-graded PY_USES_CONFIG with unresolved-read hygiene by @rahlk in #164
- fix(test): build the slicing fixture at level 2 by @rahlk in #166
- docs(skills): config_use vocabulary and bridge analyses by @rahlk in #167
- feat: deployment-env config keys — Dockerfile ENV/ARG, compose and k8s env by @rahlk in #168
- fix(test): deepcopy the SDG fixture instead of pydantic v2 model_copy by @rahlk in #169
Full Changelog: v1.2.0...v1.3.0