astro-sdk

Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow. (by astronomer)

Astro-sdk Alternatives

Similar projects and alternatives to astro-sdk

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better astro-sdk alternative or higher similarity.

astro-sdk reviews and mentions

Posts with mentions or reviews of astro-sdk. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-01.
  • Orchestration: Thoughts on Dagster, Airflow and Prefect?
    3 projects | /r/dataengineering | 1 Jun 2023
    Have you tried the Astro SDK? https://github.com/astronomer/astro-sdk
  • Airflow as near real time scheduler
    1 project | /r/dataengineering | 29 May 2023
    One interesting point about putting the data into s3, is that if the data is in an S3 file then OP can use the Astro SDK to pretty easily upload that data into a table or a dataframe (there's even an s3 dynamic task function in the SDK that might fit the use-case well here).
  • Most ideal Airflow task structure?
    1 project | /r/dataengineering | 28 Mar 2023
    I think you should take a look at the Astro SDK It’s an open source python package that removes the complexity of writing DAGs , particularly in the context of Extract, Load, Transform (ELT) use cases. Look at the doc here, especially aql.transform, aql.run_raw_sql, etc. That will definitely help you
  • ELT pipeline using airflow
    2 projects | /r/dataengineering | 30 Jan 2023
    - Astro SDK*: Made for folks who are doing their ETL in airflow and want to simplify movement between DBs and Pandas
  • After Airflow. Where next for DE?
    13 projects | /r/dataengineering | 15 Nov 2022
    More of a general principle but when you don't have design patterns, you get varying levels of results right? I think what Astro is doing to introduce "strong defaults" through projects like the astro-sdk or the cloud ide are interesting experiments to remove some of the busy work of common dags (load from s3, do something, push to database) will HELP reduce the cognitive load of really common, simple actions and give them a better single pattern to optimize on. I don't think those efforts reduce the optionality of true power users at all who want to custom code their s3 log sink to have some unique implementation while at the same time maybe solving some of the fragmentation to very frequently performed operations. 🤞
  • Airflow - Passing large data volumes between tasks
    1 project | /r/dataengineering | 31 Oct 2022
    Have you looked into the astro python SDK? My team and I built this out over the last year to do exactly this :). You can you use the `@dataframe` decorator to pull the API data into a dataframe, store it in GCS and the access it in future steps. Lemme know if you have any questions!
  • What's the best tool to build pipelines from REST APIs?
    9 projects | /r/dataengineering | 8 Oct 2022
    I have an example here using COVID data. basically you just write a python function that reads the API and returns a dataframe (or any number of dataframes) and downstream tasks can then read the output as either a dataframe or a SQL table.
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    www.influxdata.com | 18 Apr 2024
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Basic astro-sdk repo stats
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5 days ago
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