These guides are the Python equivalent of R-package vignettes plus maintainer-focused system documentation.
- Port Status — R AMR port overview, critical gaps (all resolved), parity references
- Getting Started
- Core Workflows (SIR, antibiogram, metrics)
- API, Async Persistence, and Observability
- Datasets and Breakpoints
- Data Pipeline Architecture
- Reproduction Parity Matrix
- Data QA Copilot
- System Architecture
- Runtime Sequences
- Storage Architecture
- Data Contracts
- Data Pipeline Deep Dive
- Transforms Reference
- Parity and Reproducibility
- External Ingest Playbook
- API Reference
- CLI Reference
- Contracts Index
- Analytics Semantics
- Breakpoints and Guidelines
- Prediction Methodology
- Operations Runbook
- Incident Response
- Observability Metrics
- Configuration Reference
- Security and Data Handling
- Testing Strategy
- Performance Guardrails
- Release Process
- Migration Guide
- Docs Contribution Guide
- Glossary
- Diagram Index
- Contributor/Maintainer:
10_system_architecture.md->20_data_contracts.md->50_operations_runbook.md - Data Engineer:
24_external_ingest_playbook.md->21_data_pipeline_deep_dive.md->23_parity_and_reproducibility.md - API/CLI Integrator:
30_api_reference.md+31_cli_reference.md+53_configuration_reference.md - Reviewer:
32_contracts_index.md+60_testing_strategy.md+61_performance_guardrails.md
- Native Python implementation (no R bridge)
- R AMR port complete — all critical gaps resolved (veterinary breakpoints, translation)
- Async-first persistence pipeline
- DuckDB + SQLAlchemy-backed run storage
- CLI and FastAPI interfaces