End-to-end
computing for your wet and dry labs

Programmatically interact with your ELN/LIMS: Write sophisticated logic to associate your experimental results with ELN/LIMS context using configurable Python/SQL environments.
Seamlessly scale your analytical jobs from analysis and pipelines: Save Devops effort by using Ganymede to directly modify pipeline operators via a browser-based IDE. Your code and pipeline changes are synced with a Git repo so you can move fast and make things happen. View redlines of changed versions and roll back seamlessly.
Lab-as-code data processing: Monitor and orchestrate workflow pipelines via graphical interfaces, troubleshooting in a user-friendly environment. Changes to pipelines are checked before they are committed, so a mis-typed column name won't bring your pipeline down.

Ganymede extracts data using a library of instrument and SaaS sources with cloud-native infrastructure that scales and parallelizes your code.

Meld your dry and wet labs: Feed your instrument metadata/data to your computational scientists, and empower your bench scientists to contextualize data.
Write code for your experimental data, not your coding environment: Manipulate your instrument and LIMS data in one computing environment. Ganymede supplies serverless cloud infra tailored to your needs.
Souped-up version control: Ganymede cloud versions code, data pipelines, and raw data, so you can revisit what you need, when you need it.

The Ganymede cloud provides a common ground for high-code and low-code users, to maximize ergonomics for data-driven workflows.

Built on open source: Ganymede cloud builds upon established open source software to ensure its components are well-supported, long-lived, and maximally compatible with hardware and software in the life sciences.
Capture everything: Capture and standardize all of your data/metadata as it's generated in a consistent form, so experimental context is fully preserved.