Electric Barometer (electric-barometer)
Top-level orchestration and entry-point package for the Electric Barometer ecosystem.
Overview
Electric Barometer is a modular framework for evaluating and selecting forecasts in operational environments where traditional accuracy metrics are insufficient. Rather than focusing solely on statistical error, the framework emphasizes service risk, asymmetry, and execution readiness.
This repository serves as the top-level entry point for the Electric Barometer ecosystem. It establishes a stable system boundary and coordinates access to core components. Detailed implementations of metrics, evaluation workflows, feature engineering utilities, and integration adapters live in dedicated sub-packages.
Role in the Electric Barometer Ecosystem
electric-barometer defines the public system boundary for the Electric Barometer ecosystem. It provides a unified entry point, establishes compatible dependency constraints across core packages, and ensures that the ecosystem can be installed and imported as a coherent whole.
This repository re-exports the production governance surface from the leaf packages. Metrics, evaluation logic, feature engineering, and model adapters remain implemented in those packages. This layer coordinates composition, versioning, and a stable top-level import facade.
Installation
pip install electric-barometer
from electric_barometer import (
apply_ral,
decide_governance,
enforce_snapping,
evaluate_governance_panel_df,
run_governance_workflow_df,
)
Design Philosophy
Electric Barometer is designed around the idea that forecast quality in operational systems cannot be reduced to a single notion of statistical accuracy. In many real-world settings, the cost of over-forecasting and under-forecasting is asymmetric, and the consequences of failure depend on execution constraints rather than abstract error alone.
The ecosystem is intentionally modular. Metrics, evaluation workflows, feature engineering utilities, and integration adapters are developed as independent components with clear responsibilities. This separation allows the framework to remain flexible, composable, and adaptable to different operational contexts without forcing a monolithic workflow.
At the system level, Electric Barometer prioritizes explicit contracts, stable interfaces, and conservative composition. The top-level orchestration layer exists to define clear boundaries and reduce coupling, ensuring that the ecosystem can evolve without breaking downstream usage.
License
BSD 3-Clause License. © 2026 Kyle Corrie.
Metadata
Release files for electric-barometer 0.2.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| electric_barometer-0.2.10.tar.gz | 8.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| electric_barometer-0.2.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.4 kB
Release files / electric_barometer-0.2.10.tar.gz
| Download URL | electric_barometer-0.2.10.tar.gz |
|---|---|
| Size | 8.0 kB |
| Tags | Source |
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Release files / electric_barometer-0.2.10-py3-none-any.whl
| Download URL | electric_barometer-0.2.10-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
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