airflow-testing-ci-workflow
airflow-docker
Our great sponsors
| airflow-testing-ci-workflow | airflow-docker | |
|---|---|---|
| 2 | 1 | |
| 81 | 21 | |
| - | - | |
| 0.0 | 7.0 | |
| about 3 years ago | 3 months ago | |
| Python | Python | |
| - | MIT License |
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.
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
airflow-docker
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Airflow Api tests
Clone the airflow-docker repo.
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.
soda-sql - Data profiling, testing, and monitoring for SQL accessible data.
gretel-airflow-pipelines - Runbooks for running Gretel on Apache Airflow
wsl-windows-toolbar-launcher - Adds linux GUI application menu to a windows toolbar
superset - Apache Superset is a Data Visualization and Data Exploration Platform
nft-starter-kit - Timescale NFT Starter Kit
portable-data-stack-dagster - A portable Datamart and Business Intelligence suite built with Docker, Dagster, dbt, DuckDB, PostgreSQL and Superset
cargo-crates - An easy way to build data extractors in Docker.
airflow-docker - Source code of the Apache Airflow Tutorial for Beginners on YouTube Channel Coder2j (https://www.youtube.com/c/coder2j)
StravaDataPipline - :arrows_counterclockwise: :running: EtLT of my own Strava data using the Strava API, MySQL, Python, S3, Redshift, and Airflow
uber-expenses-tracking - The goal of this project is to track the expenses of Uber Rides and Uber Eats through data Engineering processes using technologies such as Apache Airflow, AWS Redshift and Power BI.