optimus VS dbt-documentor

Compare optimus vs dbt-documentor 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)
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optimus dbt-documentor
5 1
737 18
0.1% -
4.4 3.5
6 months ago about 1 year ago
Go F#
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.

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.

What are some alternatives?

When comparing optimus and dbt-documentor 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.

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.

Benthos - Fancy stream processing made operationally mundane

F# Formatting - F# tools for generating documentation (Markdown processor and F# code formatter)

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

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

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

F# Data - F# Data: Library for Data Access

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.

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

fragments - Transform and compose data for HTTP transactions.