Skip to main content

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) — vibe19 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.

Install

pip install open-fdd                 # ECM only (stdlib)
pip install "open-fdd[oracle]"       # + pandas rules / analytics
pip install "open-fdd[reporting]"    # + Engineering Findings extras
pip install "open-fdd[vibe19]"       # playground meta-extra

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,
    )
)

job.save("Lincoln_Middle_School_ECMs.xlsx")

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

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.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

open_fdd-4.1.0.tar.gz (242.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

open_fdd-4.1.0-py3-none-any.whl (263.9 kB view details)

Uploaded Python 3

File details

Details for the file open_fdd-4.1.0.tar.gz.

File metadata

  • Download URL: open_fdd-4.1.0.tar.gz
  • Upload date:
  • Size: 242.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for open_fdd-4.1.0.tar.gz
Algorithm Hash digest
SHA256 9c1e1706e351232a3fee754c5d3de8e595ce62fdc37c7f3b69ce6bc1a2da6b90
MD5 fbdad32595112c9dbb2746a5f7809ff2
BLAKE2b-256 bcc8050ff0b5e52e1451c9b26a5b39af9270e281ac69644a4587b5b6cb3ff53b

See more details on using hashes here.

Provenance

The following attestation bundles were made for open_fdd-4.1.0.tar.gz:

Publisher: publish-open-fdd.yml on bbartling/open-fdd

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file open_fdd-4.1.0-py3-none-any.whl.

File metadata

  • Download URL: open_fdd-4.1.0-py3-none-any.whl
  • Upload date:
  • Size: 263.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for open_fdd-4.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 09c0fed6171cdd6776c6cddc78e16cacbb5eca8bc8900b64fd123ecf9e3646e4
MD5 e1336f1d8679fb72df35e8c9414459b3
BLAKE2b-256 03455fbf0a2e551a7107027ada6bcfcbbcf2a014b6180031bafceb244973670c

See more details on using hashes here.

Provenance

The following attestation bundles were made for open_fdd-4.1.0-py3-none-any.whl:

Publisher: publish-open-fdd.yml on bbartling/open-fdd

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

4.4.1

2 files

4.4.0

2 files

4.3.0

2 files

4.2.0

2 files

4.1.2

2 files

4.1.1

2 files

This release

4.1.0 This release

2 files

4.0.0

2 files

3.1.6

2 files

3.1.5

2 files

3.1.3

2 files

3.1.2

2 files

3.1.1

2 files

3.1.0

2 files

3.0.34

2 files

3.0.32

2 files

3.0.31

2 files

3.0.30

2 files

3.0.21

2 files

3.0.20

2 files

3.0.18

2 files

3.0.16

2 files

3.0.12

2 files

3.0.11

2 files

3.0.10

2 files

3.0.9

2 files

3.0.8

2 files

3.0.6

2 files

3.0.5

2 files

3.0.4

2 files

3.0.1

2 files

2.4.1

2 files

2.4.0

2 files

2.3.1

2 files

2.3.0

2 files

2.2.0

2 files

2.1.0

2 files

2.0.13

2 files

2.0.11

2 files

2.0.9

2 files

0.1.9

2 files

0.1.8

2 files

0.1.7

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.1

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page