TetraScience provides powerful pre-built pipelines, but when you need something custom, Self-Service Pipelines put you in control. With just a few lines of Python or R, you can design and deploy workflows that fit your instruments, systems, and science.
In this demo, see how Self-Service Pipelines enable you to:
- Convert raw instrument data into harmonized, analytics-ready formats
- Add custom logic with modular Python task scripts
- Control execution with trigger conditions, versioning, and built-in error handling
- Integrate with GitHub automated CI/CD across dev, test, and prod
- Simulate and validate your code locally with mock context objects