CAMBER

Vendor-neutral building-automation-system trend analysis — fault detection & diagnostics (FDD), measurement & verification (M&V), and retro-commissioning (RCx).

CAMBER turns raw BAS trend exports into ranked, auditable findings. It is vendor-neutral (every diagnostic runs on a Role-mapped frame, not vendor tags), clean-room (each method cites a public standard; every rule ships a synthetic fixture), dependency-light (stdlib + numpy / pandas / pyarrow / matplotlib), and read-only toward the BAS/OT.

flowchart LR
  bas["raw BAS trend exports"] --> roles["Role-mapped frame"]
  roles --> fdd["FDD (rules)"]
  roles --> mv["M&V (mandv)"]
  roles --> rcx["RCx (rcx)"]
  fdd --> findings["ranked, auditable findings"]
  mv --> findings
  rcx --> findings
  findings --> out["audit report + integrations"]

One Role-mapped frame feeds every diagnostic; findings are ranked, cited, and exportable.

• New here? Start with the Capabilities reference — every capability, its key API, the option flags that tune it, and the standard it cites, grouped by layer.
• How it fits together: the Architecture and the Ecosystem (fork-vs-depend) pages.
• Install: pip install camber-toolkit (imports as camber); a multi-arch container image is at ghcr.io/yroussev/camber.

By layer

• Analytics — M&V · Streaming / online · Forecasting · Grid-interactive (GEB) · Carbon · Ventilation · Visualization
• Platform — Ingest protocols · Ontology / interop · Integrations · Plugins · Fault lifecycle · Scale · Deployment · Security · Validation

See the roadmap for what's planned.