airflow-testing-ci-workflow
patterns-devkit
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| airflow-testing-ci-workflow | patterns-devkit | |
|---|---|---|
| 2 | 5 | |
| 81 | 106 | |
| - | 0.0% | |
| 0.0 | 2.9 | |
| about 3 years ago | about 1 year ago | |
| Python | Python | |
| - | BSD 3-clause "New" or "Revised" License |
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airflow-testing-ci-workflow
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[Question] Airflow - writing integration tests
If you only want to see the code with de test module and DAG, there is the Github repo https://github.com/marcosmarxm/airflow-testing-ci-workflow
- Show HN: Tutorial how to develop a DAG using TDD
patterns-devkit
What are some alternatives?
airflow-api-tests - This is a collection of Pytest for the 2.0 Stable Rest Apis for Apache Airflow. I have another repo where you could setup airflow locally and play around with these. I am used to RestAssured, but trying out pytest here.
pyspark-example-project - Implementing best practices for PySpark ETL jobs and applications.
gretel-airflow-pipelines - Runbooks for running Gretel on Apache Airflow
Dataplane - Dataplane is a data platform that makes it easy to construct a data mesh with automated data pipelines and workflows.
pipebird - Pipebird is open source infrastructure for securely sharing data with customers.
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
SmartPipeline - A framework for rapid development of robust data pipelines following a simple design pattern
AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
flowrunner - Flowrunner is a lightweight package to organize and represent Data Engineering/Science workflows
prism - Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
versatile-data-kit - One framework to develop, deploy and operate data workflows with Python and SQL.
workshop-realtime-data-pipelines - You will inspect and run a sample architecture making use of Apache Pulsar™ and Pulsar Functions for real-time, event-streaming-based data ingestion, cleaning and processing.