Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow. (by couler-proj)

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better couler alternative or higher similarity.

couler reviews and mentions

Posts with mentions or reviews of couler. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-27.
  • (Not) to Write a Pipeline
    2 projects | | 27 Jun 2023
    author seems to be describing the kind of patterns you might make with . or see for example , which is an sdk for describing tasks that may be submitted to different workflow engines on the backend.

    it's a little confusing to me that the author seems to object to "pipelines" and then equate them with messaging-queues. for me at least, "pipeline" vs "workflow-engine" vs "scheduler" are all basically synonyms in this context. those things may or may not be implemented with a message-queue for persistence, but the persistence layer itself is usually below the level of abstraction that $current_problem is really concerned with. like the author says, eventually you have to track state/timestamps/logs, but you get that from the beginning if you start with a workflow engine.

    i agree with author that message-queues should not be a knee-jerk response to most problems because the LoE for edge-cases/observability/monitoring is huge. (maybe reach for a queue only if you may actually overwhelm whatever the "scheduler" can handle.) but don't build the scheduler from scratch either.. use argowf, kubeflow, or a more opinionated framework like airflow, mlflow, databricks, aws lamda or step-functions. all/any of these should have config or api that's robust enough to express rate-limit/retry stuff. almost any of these choices has better observability out-of-the-box than you can easily get from a queue. but most importantly.. they provide idioms for handling failure that data-science folks and junior devs can work with. the right way to structure code is just much more clear and things like structuring messages/events, subclassing workers, repeating/retrying tasks, is just harder to mess up.


Basic couler repo stats
about 1 month ago

couler-proj/couler is an open source project licensed under Apache License 2.0 which is an OSI approved license.

The primary programming language of couler is Python.

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