quinn VS etl-markup-toolkit

Compare quinn vs etl-markup-toolkit and see what are their differences.

quinn

pyspark methods to enhance developer productivity 📣 👯 🎉 (by MrPowers)

etl-markup-toolkit

ETL Markup Toolkit is a spark-native tool for expressing ETL transformations as configuration (by leozqin)
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quinn etl-markup-toolkit
9 7
567 5
- -
9.2 0.0
21 days ago about 3 years 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.
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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.

quinn

Posts with mentions or reviews of quinn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-05.

etl-markup-toolkit

Posts with mentions or reviews of etl-markup-toolkit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-22.
  • How to keep track of the different Transformations done in an ETL pipeline?
    2 projects | /r/dataengineering | 22 Aug 2021
    Not sure if it meets your exact requirements, but I maintain an open source project that enables spark transformations as configuration, and part of that capability is reporting, including logging of columns in vs columns out, row counts, etc... It's very early stage but perhaps could be useful - https://github.com/leozqin/etl-markup-toolkit

What are some alternatives?

When comparing quinn and etl-markup-toolkit you can also consider the following projects:

chispa - PySpark test helper methods with beautiful error messages

spark-daria - Essential Spark extensions and helper methods ✨😲

spark-rapids - Spark RAPIDS plugin - accelerate Apache Spark with GPUs

mara-pipelines - A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow

PySpark-Boilerplate - A boilerplate for writing PySpark Jobs

null - Nullable Go types that can be marshalled/unmarshalled to/from JSON.

fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

lowdefy - The config web stack for business apps - build internal tools, client portals, web apps, admin panels, dashboards, web sites, and CRUD apps with YAML or JSON.

flintrock - A command-line tool for launching Apache Spark clusters.

soda-sql - Data profiling, testing, and monitoring for SQL accessible data.

sparkmagic - Jupyter magics and kernels for working with remote Spark clusters

dagster - An orchestration platform for the development, production, and observation of data assets.