From Project Jupyter
Open software. Shared standards. Private data.
A secure, connective layer for integrating wearable, clinical, and patient-generated data into modern computational and AI-enabled health care workflows.
Customizable · Modular · FHIR-native · AI-ready · Open License
Built on decades of open infrastructure
01 - Platform
A unified architecture combining data ingestion, scalable computation, analytical tools, and community governance.
Privacy-first data management adhering to HL7 FHIR and IEEE/Open mHealth standards. Secure, compliant, and ready for any health data workload.
Containerized and Kubernetes-native. Run it in the public cloud, private cloud, or on-prem behind your firewall.
Analytics and visualization built on Jupyter. APIs and standards-based data layers ready for decision support, AI tools, and patient-facing applications to build on.
Health infrastructure should outlast its vendors. Every layer is open standards and open code. The data stays private, you control the infrastructure.
02 - Use Cases
JupyterHealth is the connective infrastructure for working with health data, from biomarker discovery and real-world evidence through clinical and patient-facing care. Built on open standards and modern scientific computing, it supports use cases within and beyond the clinic.
Research & Pharma
Integrate wearable, clinical, and patient-generated data for digital biomarker discovery, longitudinal analysis, and translational research.
MedTech & Devices
Run pilots, collect real-world evidence, and evaluate device performance across clinical and at-home settings.
Direct-to-Patient
Most chronic conditions are managed between clinical visits. Support continuous monitoring and patient-facing care beyond the clinic.
03 - Integration
Adopt the full platform or integrate individual components into your existing stack. Deploy, customize, and extend the infrastructure to fit your needs.
04 - About the team
JupyterHealth is built and maintained by the teams behind the world's most widely adopted open-source data science tools. A long-term, sustainably funded initiative providing stable infrastructure that health care can rely on.
Founded at
Get in touch about pilots, integrations, or deployments.
