Rosalia Labs develops open tools and methods at the intersection of computing and science. We help researchers and practitioners turn messy data into insight — from applied AI & modeling to reproducible deployments in the field and lab. Our flagship open-source project is SensOS, a Raspberry Pi OS overlay for scalable, fault-tolerant imaging and sensing systems.
Reproducible tooling and systems for experiments and deployments (e.g., SensOS for Raspberry Pi fleets).
From statistical inference to ML pipelines that make predictions explainable and actionable.
Designing practical data collection, QC, and processing for biodiversity, ecology, and beyond.
Package models, data, and environments so others (and future you) can rerun them without surprises.
Design analyses and ML that translate raw measurements into interpretable, decision-ready outputs.
From single devices to fleets — build-and-deploy workflows with monitoring, logging, and graceful recovery.
Clone SensOS and initialize its submodules:
git clone --recurse-submodules https://github.com/Rosalia-Labs/SensOS.git
cd SensOS
# If you cloned without --recurse-submodules:
git submodule update --init --recursiveBuild a bootable image with the included scripts (see repository README for details).