f1-data-pipeline VS steam-data-engineering

Compare f1-data-pipeline vs steam-data-engineering and see what are their differences.

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f1-data-pipeline steam-data-engineering
1 1
23 20
- -
6.8 10.0
10 months ago over 1 year ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

f1-data-pipeline

Posts with mentions or reviews of f1-data-pipeline. We have used some of these posts to build our list of alternatives and similar projects.

steam-data-engineering

Posts with mentions or reviews of steam-data-engineering. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-30.

What are some alternatives?

When comparing f1-data-pipeline and steam-data-engineering you can also consider the following projects:

dbt2looker - Generate lookml for views from dbt models

magic-the-gathering - A complete pipeline to pull data from Scryfall's "Magic: The Gathering"-API, via Prefect orchestration and dbt transformation.

astro - Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow. [Moved to: https://github.com/astronomer/astro-sdk]

ComputerMonitoring_IOT - Uses Python to pull computer statistics and stores data to BigQuery using Pub/Sub, Cloud Functions.

ghcn-d - Data Pipeline from the Global Historical Climatology Network DataSet

weather_data_pipeline - This is a PySpark-based data pipeline that fetches weather data for a few cities, performs some basic processing and transformation on the data, and then writes the processed data to a Google Cloud Storage bucket and a BigQuery table.The data is then viewed in a looker dashboard

data-engineering-zoomcamp - Free Data Engineering course!

prefect-deployment-patterns - Code examples showing flow deployment to various types of infrastructure

dbt-coves - CLI tool for dbt users to simplify creation of staging models (yml and sql) files

astro-sdk - Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.