loom workflow engine
Loom is a platform-independent tool to create, execute, track, and share workflows.
Loom runs out-of-the-box locally or in the cloud.
Loom makes sure you can repeat your analysis months and years down the road after you’ve lost your notebook, your data analyst has found a new job, and your server has had a major OS version upgrade.
Loom uses Docker to reproduce your runtime environment, records file hashes to verify analysis inputs, and keeps fully reproducible records of your work.
Loom remembers anything you ever run and can tell you exactly how each result was produced.
Exactly the same workflow can be run on your laptop or on a public cloud service.
Not only is Loom open source and free to use, it uses an inside-out architecture that minimizes lock-in and lets you easily share your work with other people.
How many times do you really need to run the same analysis on the same inputs? Loom knows which steps in your workflow have already been run and seamlessly integrates previous results with the current run, while still maintaining data provenance and traceability.
While you may want to automate your analysis from the command line, a graphical user interface is invaluable for browsing workflows and results and keeping an eye on current runs.
Loom is designed with clinical compliance in mind.
Loom is built for the kind of workflows that bioinformaticians run – multi-step analyses with large data files passed between steps. But nothing about Loom is specific to bioinformatics.
Loom is scalable and supports individual analysts or large institutions.
Check out our Getting Started Guide and give Loom a try.
Loom is under active development. To get involved, contact firstname.lastname@example.org