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broadinstitute
cromwell
Scala2016–2021
broadinstitute / cromwell

cromwell

Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments

4Distinct people
4Mentions
0Explicit recommenders
1.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 10:49:33 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year4 dated mentions

Observed mentions: 2016-11-21 06:45:39 UTC to 2021-05-20 22:33:06 UTC.

012016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC101
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC110
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101

What Hacker News says

1 sources
A very clever way to run genomic analysis on GCP is via WDL ( https://software.broadinstitute.org/wdl/ ) workflows executed on the Cromwell ( https://github.com/broadinstitute/cromwell ) service. Using WDL you define tasks, and compose those into workflows, then Cromwell executes those tasks on GCP using the pipelines api ( https://cloud.google.com/genomics/reference/rest/v1alpha2/pi... ). So you don't need to set up any instances at all, each stage of your pipeline, a task, is executed in its own docker instance, with files from google cloud storage being materialized on that instance for you. When that task is done, outputs are sent to cloud storage buckets, and everything is torn down. Picard can pull reads directly out of the google genomics API, and more of the Broad tools are adopting the GA4GH api, so this means an increasing amoun
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t of core tools anyone doing genomics will want to use, will work directly with google genomics.
In Google Cloud is 50% cheaper than AWS

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