Roadmap candidate — gauging interest. If you would use a Python version, a � or a comment about your stack genuinely helps prioritize.
What: A transparent-confidence Python package implementing the identical algorithm: same dimensions, same weights, same warning codes, same 0–100 normalization, same action policy — verified by porting the full test-scenario suite.
Ground rules if/when this happens:
- Algorithm parity is versioned: the Python port ships pinned to a specific
algorithmVersion and cross-checks against the TypeScript reference outputs
- Zero runtime dependencies there too (stdlib only)
- Sequenced after the v1.0 API freeze — porting a moving API doubles the work
Not started. This issue exists to collect demand signal and design constraints.
Roadmap candidate — gauging interest. If you would use a Python version, a � or a comment about your stack genuinely helps prioritize.
What: A
transparent-confidencePython package implementing the identical algorithm: same dimensions, same weights, same warning codes, same 0–100 normalization, same action policy — verified by porting the full test-scenario suite.Ground rules if/when this happens:
algorithmVersionand cross-checks against the TypeScript reference outputsNot started. This issue exists to collect demand signal and design constraints.