Connect any source
Guided UI setup for REST APIs, DHIS2, KoboToolbox, and ODK with reusable mappings and synchronization history.
Explore connectors →
PHFrameInstall PHFrameBuild data systems, APIs, dashboards, geospatial views, connectors, and privacy-aware AI workflows from one Python framework.
Designed for programmes operating across countries, diseases, and data standards
PHFrame keeps ingestion, validation, analysis, visualization, and publishing connected—without locking your programme into country-specific columns.
Guided UI setup for REST APIs, DHIS2, KoboToolbox, and ODK with reusable mappings and synchronization history.
Explore connectors →Define typed custom fields, validation rules, dimensions, indicators, and organisation hierarchies for any programme.
View framework →Create multiple dashboards with responsive drag-and-drop layouts, maps, charts, KPIs, tables, and rich content.
Create a dashboard →Ask questions about aggregate evidence with de-identification controls, citations, human approval, and audit history.
See the safety model →Coordinate maps and downloadable administrative boundaries support global, national, and subnational analysis.
Explore geospatial tools →Run an aggregate-only privacy review and publish snapshots or live dashboards through Cloudflare Pages.
Authorization service →Protected fields remain outside AI prompts and public bundles. Every generated summary is a draft until a person approves it, with evidence links and an auditable trail.
Ready for aggregate-only publication
$ pip install public-health-framework
$ phframe new my-health-project
$ cd my-health-project && phframe serve