flower
[Proof of Concept] This is the simple implementation of the workflow engine that manages workflows composed of DAGs. (by d-tsuji)
optimus
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management. (by raystack)
flower | optimus | |
---|---|---|
1 | 5 | |
31 | 737 | |
- | 0.1% | |
10.0 | 4.4 | |
about 4 years ago | 6 months ago | |
Go | Go | |
MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
flower
Posts with mentions or reviews of flower.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-06.
optimus
Posts with mentions or reviews of optimus.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-18.
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Data Engineering Tools in Go
You can check odpf github, they created some dataops tools using go, one of the example is optimus (https://github.com/odpf/optimus) which is a data pipeline orchestrator
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Modern open-source data platform that empowers organizations to discover, transform, analyse and secure data faster and efficiently.
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
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Seeking opinions on workflow/DAG orchestration with Go
this may help: https://github.com/odpf/optimus
- Optimus - An easy-to-use, reliable and performant workflow orchestrator for data transformation, data modeling, pipelines and data quality management
- GitHub - odpf/optimus: Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
What are some alternatives?
When comparing flower and optimus you can also consider the following projects:
goflow - A Golang based high performance, scalable and distributed workflow framework
cadence - Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.