EV-QA-Framework

v1.1.0 Feature

This release adds 8 notable features for engineering teams evaluating rollout.

Published 2mo Monitoring & Metrics

✓ No known CVEs patched

✓ No known CVEs patched in this version

Topics

anomaly-detection battery bms can-bus dbc electric-vehicle

+9 more

ev grafana j1939 lstm machine-learning prometheus python quality-assurance soh-prediction

Summary

AI summary

Discoverability & Community updates, Quality Improvements including TensorFlow lazy import, and new What's New features are introduced.

Full changelog

Enhanced README — architecture overview, EV-battery use cases, feature comparison table, badges
GitHub Actions CI — automated lint + test across Python 3.9–3.11 with coverage upload
Issue/PR templates — structured bug reports, feature requests, and contribution checklist
Expanded GitHub topics — can-bus, soh-prediction, telemetry, lstm, battery-degradation, battery-health, predictive-maintenance
PyPI classifiers — automotive, battery, quality assurance domain metadata

TensorFlow lazy import — optional dependency with graceful fallback at runtime
CODE_OF_CONDUCT — full Contributor Covenant replacing empty placeholder
Battery analysis enhancements — advanced anomaly detection and example scripts

pip install -r requirements.txt
# or for ML features
pip install tensorflow

Full changelog: https://github.com/remontsuri/EV-QA-Framework/compare/v1.0.0...v1.1.0

Full Changelog: https://github.com/remontsuri/EV-QA-Framework/compare/v1.1.0...v1.1.0

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