# paulvangentcom/heartrate_analysis_python

Python Heart Rate Analysis Package, for both PPG and ECG signals

Repository: https://github.com/paulvangentcom/heartrate_analysis_python
Canonical: https://ross.abutalabs.com/products/heartrate_analysis_python
Language: Python
License: MIT
License Family: permissive
Topics: python, heart, rate, heartrate, heart-rate-analysis, heartrate-analysis, heart-rate-data
Last push: 2025-12-30T14:20:41+00:00

## Health v2 (maintenance only)
Score: 49/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 59, release rhythm 8, longevity 100
- inputs: {"age_days": 3395, "days_push": 246, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1137, forks 348 (observed 2026-08-28T04:03:43.852556+00:00)

## What it is
HeartPy is a Python library for analyzing heart rate from PPG (photoplethysmography) and ECG signals, including noisy and low-resolution wearable data. It provides peak detection, filtering, and heart rate metrics with tutorial notebooks for smartwatch and smart ring data.

## Use cases
- analyze heart rate from ppg sensor data in python
- extract bpm from ecg signal
- process smartwatch pulse data to get heart rate
- detect peaks in noisy photoplethysmography recordings
- compute heart rate variability metrics from wearable data
- analyze smart ring ppg signals

## When to choose
- you need to analyze PPG or ECG signals in Python without building signal processing from scratch
- you work with low-resolution or noisy wearable sensor data like smartwatches or rings
- you want a well-documented library with tutorial notebooks for heart rate analysis

## When to avoid
- you need real-time clinical-grade heart rate monitoring or medical certification
- you require full HRV analysis beyond heart rate metrics
- you work outside Python or need GPU-accelerated large-scale signal processing

## Facets
- artifact type: library
- maturity: active
- function: data-science, analytics
- domain: healthcare, data-science, bioinformatics
- platform: python, cross-platform
- tags: heart-rate, ppg, ecg, biomedical-signal-processing, wearables, signal-processing

## Member repositories
- paulvangentcom/heartrate_analysis_python (main) score 49

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:43.852556+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:36:20.868662+00:00, confidence not recorded.
  - readme: https://github.com/paulvangentcom/heartrate_analysis_python (fetched 2026-08-28T04:03:43.852556+00:00, sha e25cd7474e1f)
- Data as of 2026-08-30T08:39:29.467469+00:00.