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.

Project links

Data verified by PyPI on Jul 27, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • 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 Jul 27, 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 vibe19 test dev release

Tags

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

Classifiers

Report project as malware

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-4.1.1.tar.gz (243.6 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-4.1.1-py3-none-any.whl (265.2 kB view details)

Uploaded Python 3

File details

Details for the file open_fdd-4.1.1.tar.gz.

File metadata

  • Download URL: open_fdd-4.1.1.tar.gz
  • Upload date:
  • Size: 243.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for open_fdd-4.1.1.tar.gz
Algorithm Hash digest
SHA256 27c0c13483c1dd35fdbf3df505e536e0c59742997b9536a6a438ca56151e22f4
MD5 c0b34a180529e19f53862e6bb4265d04
BLAKE2b-256 ded0aa76d23cdaf6b017fd0ecd81420bec4b2043a530d7d8299801c11f33d6d2

See more details on using hashes here.

Provenance

The following attestation bundles were made for open_fdd-4.1.1.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-4.1.1-py3-none-any.whl.

File metadata

  • Download URL: open_fdd-4.1.1-py3-none-any.whl
  • Upload date:
  • Size: 265.2 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-4.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1ccbbe831ccb92aeb608ef1326daf659a5427446bac809306c7ba0e495c647b0
MD5 d4ded047f8d3a87af20672a19422265d
BLAKE2b-256 1e89889aa0c1b8e1b1a36e6a181a5110617d9c1d6ca19cfc69c42491eaae237b

See more details on using hashes here.

Provenance

The following attestation bundles were made for open_fdd-4.1.1-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

This release

4.1.1 This release

2 files

4.1.0

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