dbt-documentor
✍️ dbt doc generator for advanced data teams (by TextQLLabs)
optimus
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management. (by raystack)
dbt-documentor | optimus | |
---|---|---|
1 | 5 | |
19 | 749 | |
- | 0.4% | |
3.5 | 1.8 | |
about 2 years ago | 11 months ago | |
F# | 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.
dbt-documentor
Posts with mentions or reviews of dbt-documentor.
We have used some of these posts to build our list of alternatives
and similar projects.
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 dbt-documentor and optimus you can also consider the following projects:
dbt-data-reliability - dbt package that is part of Elementary, the dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
beneath - Beneath is a serverless real-time data platform ⚡️
F# Formatting - F# tools for generating documentation (Markdown processor and F# code formatter)
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.
F# Data - F# Data: Library for Data Access
dagu - A compact, portable, and language-agnostic workflow engine. It aims to solve greater problems.