astro VS sqlelf

Compare astro vs sqlelf 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)

sqlelf

Explore ELF objects through the power of SQL (by fzakaria)
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astro sqlelf
2 7
183 230
- -
10.0 8.5
over 1 year ago about 1 month ago
Python Python
Apache License 2.0 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.

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 :)

sqlelf

Posts with mentions or reviews of sqlelf. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-02.

What are some alternatives?

When comparing astro and sqlelf you can also consider the following projects:

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

sqlglot - Python SQL Parser and Transpiler

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

q - q - Run SQL directly on delimited files and multi-file sqlite databases

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

ibis - the portable Python dataframe library

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

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

jupysql - Better SQL in Jupyter. 📊

f1-data-pipeline - F1 Data Pipeline

mais - ⚙️ Código de manutenção do datalake (metadados e pacotes de acesso) | 📖 Docs: https://basedosdados.github.io/mais/