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Welcome to RAPIDS documentation

Reproducible Analysis Pipeline for Data Streams (RAPIDS) allows you to process smartphone and wearable data to extract and create behavioral features (a.k.a. digital biomarkers), visualize mobile sensor data, and structure your analysis into reproducible workflows.

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RAPIDS is open source, documented, modular, tested, and reproducible. At the moment, we support data streams logged by smartphones, Fitbit wearables, and, in collaboration with the DBDP, Empatica wearables (but you can add your own too).

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If you want to know more head over to Overview

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RAPIDS is open source, documented, modular, tested, and reproducible. At the moment, we support data streams logged by smartphones, Fitbit wearables, and, in collaboration with the DBDP, Empatica wearables (but you can add your own too).

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If you want to know more head over to Overview

Tip

Questions or feedback can be posted on the #rapids channel in AWARE Framework's slack.

Bugs and feature requests should be posted on Github.

Join our discussions on our algorithms and assumptions for feature processing.

Are you upgrading from RAPIDS 0.4.x or older? Follow this guide

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Ready? Go to Overview.

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Ready? Go to Overview.

What are the benefits of using RAPIDS?

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