astro
sqlelf
astro | sqlelf | |
---|---|---|
2 | 7 | |
183 | 231 | |
- | - | |
10.0 | 8.5 | |
over 1 year ago | about 1 month ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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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
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After Airflow. Where next for DE?
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
- Sqlelf – Explore ELF objects through the power of SQL
- Sqlelf: Explore ELF Objects with SQL
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How is a binary executable organized? Let's explore it
Check out my tool which let's you explore ELF using SQL
https://github.com/fzakaria/sqlelf
- Sqlelf: Explore ELF objects through the power of SQL
- Explore Linux ELF objects through SQL
- Use SQLite's virtual table functionality to to explore Linux ELF objects via SQL
- Analyze ELF Binaries Using SQL via SQLite Virtual Tables
What are some alternatives?
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/