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Developer and Data Science

Technical documentation for developers and data scientists building on, extending, or analyzing data from the mindLAMP platform.

Sections​

Platform Architecture
How mindLAMP is built: Node.js backend, DocumentDB storage, Redis caching, and the push notification pipeline.
API & SDKs
Programmatic access to all platform data. Official SDKs in Python and JavaScript, plus JSONata and Tags.
Cortex
The open-source Python library for analyzing mindLAMP data with a three-tier feature pipeline.
Extending mindLAMP
Custom activities, automated interventions, scheduled tasks, and identity provider integration.

Who This Section Is For​

  • Data scientists working with mindLAMP datasets: start with Cortex and the Activity and Sensor reference pages.
  • Developers extending the platform or integrating with other systems: start with the architecture overview and API documentation.
  • System administrators deploying mindLAMP: refer to the deployment guides (internal documentation).

For non-technical documentation, see The App and The Dashboard.