optimus VS flower

Compare optimus vs flower and see what are their differences.

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

[Proof of Concept] This is the simple implementation of the workflow engine that manages workflows composed of DAGs. (by d-tsuji)
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optimus flower
5 1
737 31
0.1% -
4.4 10.0
6 months ago about 4 years ago
Go Go
Apache License 2.0 MIT License
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.

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.

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.

What are some alternatives?

When comparing optimus and flower you can also consider the following projects:

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.

goflow - A Golang based high performance, scalable and distributed workflow framework

Benthos - Fancy stream processing made operationally mundane

flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

temporal - Temporal service

protobuf-bigquery-go - Seamlessly save and load protocol buffers to and from BigQuery using Go.

gleam - Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.

beneath - Beneath is a serverless real-time data platform ⚡️

dagu - Yet another cron alternative with a Web UI, but with much more capabilities. It aims to solve greater problems.

argo - Workflow Engine for Kubernetes