f1-data-pipeline VS astro

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

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] (by astro-projects)
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f1-data-pipeline astro
1 2
23 183
- -
6.8 10.0
10 months ago over 1 year ago
Python Python
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

astro

Posts with mentions or reviews of astro. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-15.
  • After Airflow. Where next for DE?
    13 projects | /r/dataengineering | 15 Nov 2022
    What I would suggest is if you want an "Airflow 3.0" feel you check out the Astro SDK. My team and I basically spent a year and a half rewriting the Airflow DAG writing experience from the ground up. Completely different feel, highly scalable SQL/python/spark (soon) workflows that basically feel like native python. Way easier to test as well. You can pass dataframes into SQL queries, load data from any supported source to any supported warehouse, and things like lineage are natively supported :)

What are some alternatives?

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

dbt2looker - Generate lookml for views from dbt models

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

steam-data-engineering - A data engineering project with Airflow, dbt, Terrafrom, GCP and much more!

airflow-maintenance-dags - A series of DAGs/Workflows to help maintain the operation of Airflow

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

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

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

getting-started - This repository is a getting started guide to Singer.

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

sqlelf - Explore ELF objects through the power of SQL

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

typhoon-orchestrator - Create elegant data pipelines and deploy to AWS Lambda or Airflow