awesome-workflow-engines VS Airflow

I've come across this list, but I'm uncertain about which option would suit my requirements without going through a trial-and-error process. Do you have any recommendations for a tool similar to "Postman flows" that enables the creation of chained HTTP requests and allows for response analysis?

True, there are many options out there. And we looked at a good number before we made the decision to build one ourselves. But at least at the time (circa 2014), many of the existing options were either not designed for a distributed environment, were designed more particularly for data-processing use cases, were seemingly abandoned, or simply felt over-engineered to our taste.

I'd say give Temporal (https://temporal.io) a look, but there are a lot of options (https://github.com/meirwah/awesome-workflow-engines).

I believe the type of software you're looking for is a workflow engine. I've found this list of them, perhaps there's some in the list that could work for your needs: https://github.com/meirwah/awesome-workflow-engines

https://github.com/meirwah/awesome-workflow-engines links to a bunch of open source workflow engines. If you don’t find a tutorial, maybe try one of those and see if the code is small enough to read easily.

[2] https://github.com/meirwah/awesome-workflow-engines

Contributing to Apache Airflow's open-source project immersed me in collaborative coding. Experienced maintainers rigorously reviewed my contributions, providing constructive feedback. This ongoing dialogue refined the codebase and honed my understanding of best practices.

In week Two, I contributed to the Apache Airflow repository.

Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows.

Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring.

AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic!

I agree there are many options in this space. Two others to consider:

- https://airflow.apache.org/

- https://github.com/spotify/luigi

There are also many Kubernetes based options out there. For the specific use case you specified, you might even consider a plain old Makefile and incrond if you expect these all to run on a single host and be triggered by a new file showing up in a directory…

You can try and contribute some new connectors/operators for workflow managers like Airflow or Airbyte