From 8badf868308feafc8f984e749957bc653295d300 Mon Sep 17 00:00:00 2001 From: Amin Date: Fri, 22 Mar 2024 12:37:11 +0100 Subject: [PATCH] add Binder --- README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/README.md b/README.md index a934196..5ebd806 100644 --- a/README.md +++ b/README.md @@ -5,6 +5,7 @@ ![Supported Python Versions](https://img.shields.io/pypi/pyversions/wearablehrv.svg) ![Last Commit](https://img.shields.io/github/last-commit/Aminsinichi/wearable-hrv) [![Twitter Follow](https://img.shields.io/twitter/follow/AminSinichi.svg?style=social)](https://twitter.com/AminSinichi) +[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/Aminsinichi/wearable-hrv/master?labpath=docs%2Fexamples%2F) `wearablehrv` is a Python package that comes in handy if you want to validate wearables and establish their accuracy in terms of heart rate (HR) and heart rate variability (HRV). `wearablehrv` is a complete and comprehensive pipeline that helps you go from your recorded raw data through all the necessary pre-processing steps, data analysis, and many visualization tools with graphical user interfaces. @@ -36,6 +37,10 @@ For the complete documentation of the API and modules, visit: - [Perform four major statistical analyses to determine validity](https://github.com/Aminsinichi/wearable-hrv/blob/master/docs/examples/group_pipeline/3.group_data_analysis.ipynb) - [Descriptive plots for your group data](https://github.com/Aminsinichi/wearable-hrv/blob/master/docs/examples/group_pipeline/4.group_data_plotting.ipynb) +You can also explore the example notebooks directly in your browser without installing any packages by using Binder. Simply click the badge below to get started: + +[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/Aminsinichi/wearable-hrv/master?labpath=docs%2Fexamples%2F) + # User Installation The package can be easily installed using `pip`: