optimus
dagu
| optimus | dagu | |
|---|---|---|
| 5 | 11 | |
| 737 | 1,174 | |
| 0.1% | 4.2% | |
| 4.4 | 9.0 | |
| 6 months ago | 7 days ago | |
| Go | Go | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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
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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.
dagu
- Automate ChatGPT with Workflow Engine built with Go (example of sending goal seek results by email)
- Looking for open source project for newbies in Golang
- Are there any React based OSS projects that I could contribute to?
- Show HN: A just another Cron alternative but with much more capabilities
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Airflow vs Dagu comparison
I am developing an OSS workflow scheduler called Dagu with the goal of developing a simpler workflow scheduler to replace Airflow.
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Web UI design improvement using Material UI, the Before and After (React + TypeScript + Material UI)
DAGU is in the early stage and aimed to be a good alternative workflow engine for smaller use-cases or existing codebases that need to be organized without hassle or high learning curve.
- How do I improve my open source project to attract more contributors?
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Safe ETL options for a team with no data engineers?
Hi, let me share my open source project, Dagu. It is a No-code workflow (DAG) executor. With Dagu, you can define workflow in declarative YAML format. It is self-contained and suitable for smaller projects with fewer people. Please try it! :) https://github.com/yohamta/dagu
- I have created a simple workflow engine for ETL pipeline.
- A simple command to execute DAGs defined in declarative YAML format, built with Go
What are some alternatives?
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.
temporal - Temporal service
Benthos - Fancy stream processing made operationally mundane
Dataplane - Dataplane is a data platform that makes it easy to construct a data mesh with automated data pipelines and workflows.
goflow - A Golang based high performance, scalable and distributed workflow framework
loxilb - eBPF based cloud-native load-balancer. Powering Kubernetes|Edge|5G|IoT|XaaS Apps.
protobuf-bigquery-go - Seamlessly save and load protocol buffers to and from BigQuery using Go.
GCPSteamAnalytics - API de fuente de datos eficiente para ELT Pipeline, creada con Go. Aproveche el poder de Go con esta API de alto rendimiento para una recuperación de datos perfecta, complementando Python y otras herramientas en su proceso ELT.
beneath - Beneath is a serverless real-time data platform ⚡️
dagu
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
core - Backend server API handling user mgmt, database, storage and real-time component