The modern approach to automation
The only entire-lab integration and automation platform
Quickly write, test, and run integrations between everything in your lab. Develop your own connectors and types, or extend our library.
Powerful Terraform-like lab-as-code tooling
- Ganymede offers a declarative library of high-level automation tools and bioinformatic functions so you don’t have to reinvent the wheel.
An ORM over your integrations
- Virtualize your integrations to build using their internal schema within Ganymede. Inherit structure from apps, open public databases, ontologies, etc.
Build entire applications
- Simple persistence within Ganymede allows for rapidly building apps, no other backend needed. Turn any interface into a CRUD form for your users.
...and generate UIs to manage them
Create apps and automate your work whether you're an engineer or scientist. Ganymede automatically generates a UI for mapping data that serves engineers' integrations as tables.
The easiest UI for writing business logic
- Engineers code integrations' skeletons, then visualize them in an automatically-generated UI for scientists to review and write business logic. Build an entire DAG as you go.
Biologically-aware types and connectors
- Quickly organize data into bio objects through powerful types, and out-of-the-box connectors to your hardware and software.
Never lose data or history
- Quickly revert changes or imports if your data format breaks. Store everything all the time for auditing and debugging experiments.
Tame your files and tech transfers
Form a clean interface to CROs and tech transfers with powerful file-based tooling.
Never do data entry again
- Automate ingestion by OCR-ing your PDFs into JSON key:value pairs, parse chart images into tables, and infer data types from CSV contents.
Self-serve human-in-the-loop tooling
- Empower scientists and analysts to self-serve fix broken data imports by changing lines of code through a simple web interface.
ML-powered data cleaning
- Automatically check for errors, fat-fingers, and scientific process issues with easy out-of-the-box ML tools for file cleaning and monitoring.
