Open-FDD Python package (PyPI)

open-fdd (PyPI 4.1+) ships:

  1. ECM engineering (open_fdd.ecm_engineering) — agent-drivable HVAC spreadsheet workbooks + Python benchmarks.
  2. Pandas oracle (open_fdd.rules, open_fdd.analytics, open_fdd.reporting) — cookbook catalog, analytics helpers, Engineering Findings.

The ECM API fills the same workbook input cells a human engineer would fill. It does not replace the visible spreadsheet calculations.

Production FDD (DataFusion SQL fault detection) lives in the GHCR container stack, not this wheel.

Product freeze / upsell: Engineer upsell brief — open-fdd + PyPI (vibe freeze) — after 2026-07-30, customers see ECM via PyPI → open-fdd, not vibe19/vibe20 tip churn.

Build handoff / golden example: OPENFDD_AGENT_ECM_HANDOFF.md · packaged workbook examples/liberty_dual_ahu/ECM_FULL_PARITY.xlsx.

Install

pip install open-fdd                 # ECM only (openpyxl)
pip install "open-fdd[oracle]"       # + pandas rules
pip install "open-fdd[analytics]"    # + analytics helpers (same as oracle)
pip install "open-fdd[reporting]"    # + Engineering Findings extras

For the FastAPI ECM example:

pip install "open-fdd[ecm-web]"

Oracle rules (pandas)

from open_fdd.rules import RULES, run_rule

Generate a workbook in a few lines

from open_fdd.ecm_engineering import ECMJob

job = (
    ECMJob("Lincoln Middle School")
    .set_global(
        area_ft2=85000,
        electric_rate=0.145,
        gas_rate=0.92,
    )
    .add_ecm(
        "static_pressure_reset",
        fan_kw=55.9,
        hours=4100,
        baseline_speed=0.82,
        proposed_speed=0.67,
    )
    .add_ecm(
        "boiler_reset",
        base_therms=48000,
        base_eff=0.86,
        prop_eff=0.92,
    )
)

# set_many / add_ecm already persist; save() is idempotent on the same path
# (BUG-OFDD-ECM-002) and can also copy to another path.
job.save("Lincoln_Middle_School_ECMs.xlsx")

The resulting XLSX contains the engineering inputs and formulas for human review.

Module names vs calculators

from open_fdd.ecm_engineering import list_ecm_modules, list_calculators

list_ecm_modules()   # names accepted by add_ecm (aliases included)
list_calculators()   # independent Python benchmarks (job.calc), not sheet names

New in 4.2.0: chiller_lockout, load_shed, schedule_align / ahu_sched_align.

Honesty / twin compare export (4.2.0)

job.attach_twin_compare({
    "provenance": {"idf_path": "...", "g14_pass": True},
    "inputs": [{"name": "lockout_hours", "value": 612, "provenance": "FITTED_FROM_EPLUS"}],
    "measures": [{
        "measure_id": "ECM-CHILLER-LOCKOUT",
        "name": "Chiller OAT lockout",
        "eplus_source": "cascade",
        "fitted_sheet_kwh": 101580.56,
        "eplus_kwh": 101580.56,
        "hours_provenance": "FITTED_FROM_EPLUS",
    }],
    "demand": {"july_weekday_kw": 420, "july_weekend_kw": 280, "loadshed_kw": 365},
})
job.save("honesty.xlsx")  # Contents, Measures, … (FITTED ≠ independent validation)

Independent benchmark

from open_fdd.ecm_engineering import ECMJob

job = ECMJob("demo")
result = job.calc(
    "fan_affinity",
    design_kw=55.9,
    hours=4100,
    baseline_speed_fraction=0.82,
    proposed_speed_fraction=0.67,
)

CLI

open-fdd-ecm calculators
open-fdd-ecm demo --out Demo_ECMs.xlsx

Engineering posture

Prefer measured BAS, utility, TAB, nameplate and manufacturer data over defaults. Generic chiller %/°F methods are screening proxies; manufacturer performance maps or calibrated EnergyPlus should replace them when stronger estimates are needed.

Project links

Data verified by PyPI on Aug 14, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
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  • Released:
Newer release available (4.4.1)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for bartlino from gravatar.com bartlino

Credits

Author: Ben Bartling

GitHub Statistics

Data verified by PyPI on Aug 14, 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

MIT License (MIT)

Requires

Python >=3.10

Provides Extra

ecm-web oracle reporting analytics vibe19 test dev release

Tags

hvac ecm fdd fault-detection energy-conservation building-automation open-fdd

Classifiers

Report project as malware

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