Dataplane
dagu
| Dataplane | dagu | |
|---|---|---|
| 1 | 11 | |
| 184 | 1,170 | |
| 1.1% | 3.8% | |
| 8.3 | 9.0 | |
| 4 months ago | 6 days ago | |
| Go | Go | |
| Business Source License 1.1 | 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.
Dataplane
-
Airflow VS dataplane - a user suggested alternative
2 projects | 3 May 2022
Dataplane is an Airflow inspired data platform to automate, schedule and design data pipelines and workflows written in Golang.
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
-
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.
-
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?
-
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?
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
temporal - Temporal service
transfer - Database replication platform that leverages change data capture. Stream production data from databases to your data warehouse (Snowflake, BigQuery, Redshift) in real-time.
loxilb - eBPF based cloud-native load-balancer. Powering Kubernetes|Edge|5G|IoT|XaaS Apps.
data-engineering-wiki - The best place to learn data engineering. Built and maintained by the data engineering community.
optimus - Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
JDR - Job Dependency Runner
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.
dagster - An orchestration platform for the development, production, and observation of data assets.
dagu
starthinker - Reference framework for building data workflows provided by Google. Accelerates authentication, logging, scheduling, and deployment of solutions using GCP. To borrow a tagline.. "The framework for professionals with deadlines."
core - Backend server API handling user mgmt, database, storage and real-time component