Features

Fast Onboarding

From onboarding to Python in less than 1 minute!

In-Browser Python REPL

Sweat Stack offers an in-browser Python REPL that allows you to interact with your data without leaving your browser and without the need to setup a local Python environment.

Python Client Library

For ease of use, an intuitive Python client library is available.

Data Ingestion

Garmin Connect is the first integration we have added to load activity data into Sweat Stack, FIT files can be manually uploaded (also using the Python client library) and more integrations are coming soon.

At the moment, our data models are optimized for medium frequency timeseries data (<=1Hz) but we are working on support for higher frequency timeseries data and other types of data. Reach out to us if you have specific data requests.

Sweat Stack is designed to be data source agnostic, allowing you to analyze data from any source using the same tools.

Longitudinal Analysis

Sweat Stack not only gives you access to data on a per activity basis, but also allows you to access data across multiple activities and across many months (and even years). You can easily query months of speed, power and/or heart rate data and start analyzing the results within seconds. More info on how to do this can be found in the Python client library documentation.

More Features

Info

More features will be announced soon...