Comparison of Python pipeline packages: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX

1

Apache Airflow

Not designed to pass data between dependent tasks without using a database. There is no good way to pass unstructured data (e.g. image, video, pickle, etc.) between dependent tasks in Airflow.

#Workflows #Workflow Automation #Data Pipelines 65 social mentions

2

Luigi

Luigi enables you to define your pipeline by child classes of Task with 3 class methods (requires, output, run) in Python code.

#DevOps Tools #Workflow Automation #Workflows 9 social mentions

4

Metaflow

Metaflow enables you to define your pipeline as a child class of FlowSpec that includes class methods with step decorators in Python code.

#Workflow Automation #DevOps Tools #Workflows 12 social mentions

5

Kedro

Kedro enables you to define pipelines using list of node functions with 3 arguments (func: task processing function, inputs: input data name (list or dict if multiple), outputs: output data name (list or dict if multiple)) in Python code (an independent Python module).

#Data Science And Machine Learning #Data Pipelines #Python Web Framework