Skip to main content

Set of functions to produce common metrics used in Data Science at Tidepool.

Project description

Data Science Metrics

-- Project Status: Active

Project Intro/Objective

The purpose of this project is to package all common metrics used in data science projects.


  • Python
  • Numpy
  • Pandas

Project Description

The intent of this package is to be used throughout the Tidepool Data Science projects to enable standard calculations, that provide domain validations, warnings and exceptions.

Getting Started

Available in pypi at ""

To Deploy from source

  1. Create a release in github.
  2. Update version_string in with the version from step 1.
  3. Run the script.

Tidepool Data Science Team

Name (with github link) Tidepool Slack
Russ Wilson @Russ
Ed Nykaza @ed
Jason Meno @jason
Cameron Summers @Cameron Summers

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for Tidepool-Data-Science-Metrics, version 0.1.1
Filename, size File type Python version Upload date Hashes
Filename, size Tidepool_Data_Science_Metrics-0.1.1-py3-none-any.whl (8.6 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size Tidepool Data Science Metrics-0.1.1.tar.gz (6.6 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page