Limitless flexibility, infinite potential
Data, metadata, code, figures, & a finely honed engine to fuel your curiosity.
Explore new possibilities using a familiar interface and tools
A familiar, notebook-like environment directly attached to the data control layer, empowers you — simple user actions have immediate access to the entire Watershed OS.
Collaboration with control — you can have it both ways
An intuitive UI Packager turns single lines of Python or R into smart, stateful UI elements in the any notebook, converting code into GUI apps in seconds while leaving full control in your hands.
Query all your results, anytime
A deeply integrated Data Manager interprets requests from the Interface and the Automator and routes requests to and from notebook-local resources, the Filesystem, and the HPC Scheduler — every component working together.
Truly set it & forget it with powerful, simple-to-use automations
A smart Automator inspects the Filesystem for automation-enabled files and submits requests to the Data Manager when it detects a change, without need for user intervention.
Maximize efficiency with minimal effort
A finely tuned HPC Scheduler receives requests routed from the Data Manager and handles HPC distribution and results collection, meaning your code can run on higher-powered machines, in parallel, without requiring any code changes from the end users.
More haste, less waste
Our Filesystem is fully integrated...everywhere. Not only does this result in blazing fast data routing, but the Data Manager uses this filesystem awareness to cache results. If a user request would return an existing object without any changes from a prior run, the Data Manager sends it directly to the Interface, bypassing the HPC Scheduler and the notebook-local resources.
Requirements fulfilled, without requiring your intervention
Notebook-Local resources mirror all HPC nodes, meaning code prototyped in the notebook will execute seamlessly on the HPC.
Watershed in the Wild
Scientific teams can use Watershed for any application — see how we empower our users today:
Break through team silos with ease
Bioinformaticians in a cutting-edge biotech use Watershed to develop workflows faster, share templates with their team, access a zero-effort compute & storage setup, and have ready access to additional expert support when needed.
from watershed import *
from plotnine import ggplot, aes, geom_bar
import polars
genome = load_genome("hg38")
fastqs = load_sequence("cd47_project_fq")
metadata = load_data("metadata")
alignment = star_solo(genome, fastqs)
deg = edgeR(alignment, metadata)
(ggplot(deg.files("sig_results"), aes("Sample", "fold_enrichment")) +geom_bar())
Automate your pipeline
Watershed powers a proteomics-first drug discovery pipeline, complete with automated mass spectra uploads & processing, modern analytical pipelines, and cross-company data sharing.
Run the most demanding jobs with confidence
Watershed enables a computational cytometry group to make complex data-driven gating strategies available to their wet-lab cytometry experts, letting multiple stakeholders engage with their data without technical impediment.
Why companies love us
Consumer conscious features, fair pricing, exceptional support, with an extensive partner network. See what our clients our saying today:
The Watershed team is fine-tuned to our needs – they’re not just a service provider, but an active partner. By taking advantage of the infrastructure and data science expertise that Watershed has already built, we can focus on our innovative discovery efforts.
Watershed’s platform speed and ease-of-use, even for non-bioinformaticians, sets the platform apart. Engagement with the developers and bioinformaticians at Watershed yield quick and effective results.
Meet with us
See the power of Watershed live
If you're in a startup, non-profit, or academia ask about our special pricing options for qualifying organizations.