Alternatives and similar repositories for pyspark-style-guide

Users that are interested in pyspark-style-guide are comparing it to the libraries listed below

• MrPowers / chispa
  PySpark test helper methods with beautiful error messages
  ☆730Updated 2 months ago
• awslabs / python-deequ
  Python API for Deequ
  ☆806Updated 7 months ago
• mrpowers-io / quinn
  pyspark methods to enhance developer productivity 📣 👯 🎉
  ☆676Updated 8 months ago
• MrPowers / mack
  Delta Lake helper methods in PySpark
  ☆324Updated last year
• AlexIoannides / pyspark-example-project
  Implementing best practices for PySpark ETL jobs and applications.
  ☆2,029Updated 2 years ago
• BasPH / data-pipelines-with-apache-airflow
  Code for Data Pipelines with Apache Airflow
  ☆808Updated last year
• calogica / dbt-expectations
  Port(ish) of Great Expectations to dbt test macros
  ☆1,205Updated 11 months ago
• sodadata / soda-core
  Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
  ☆2,233Updated last week
• Hiflylabs / awesome-dbt
  A curated list of awesome dbt resources
  ☆1,591Updated last month
• soggycactus / airflow-repo-template
  The easiest way to run Airflow locally, with linting & tests for valid DAGs and Plugins.
  ☆257Updated 4 years ago
• paypal / data-contract-template
  Template for a data contract used in a data mesh.
  ☆484Updated last year
• astronomer / airflow-guides
  Guides and docs to help you get up and running with Apache Airflow.
  ☆812Updated 2 weeks ago
• adidas / lakehouse-engine
  The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for sever…
  ☆274Updated last month
• astronomer / dag-factory
  Construct Apache Airflow DAGs Declaratively via YAML configuration files
  ☆1,392Updated this week
• cartershanklin / pyspark-cheatsheet
  PySpark Cheat Sheet - example code to help you learn PySpark and develop apps faster
  ☆480Updated last year
• ilya-galperin / SF-EvictionTracker
  Tracking and measuring neighborhood and district-level eviction rates in the city of San Francisco.
  ☆140Updated 5 years ago
• davidzajac1 / zillacode
  Open Source LeetCode for PySpark, Spark, Pandas and DBT/Snowflake
  ☆240Updated 5 months ago
• renatootescu / ETL-pipeline
  Educational project on how to build an ETL (Extract, Transform, Load) data pipeline, orchestrated with Airflow.
  ☆340Updated 3 years ago
• kevinschaich / pyspark-cheatsheet
  🐍 Quick reference guide to common patterns & functions in PySpark.
  ☆634Updated 2 years ago
• astronomer / astronomer-cosmos
  Run your dbt Core or dbt Fusion projects as Apache Airflow DAGs and Task Groups with a few lines of code
  ☆1,088Updated last week
• sdg-1 / data-team-handbook
  ☆832Updated 7 months ago
• abhishek-ch / around-dataengineering
  A Data Engineering & Machine Learning Knowledge Hub
  ☆1,139Updated last year
• EcZachly / little-book-of-pipelines
  This repository goes over how to handle massive variety in data engineering
  ☆307Updated 2 years ago
• astronomer / astro-sdk
  Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.
  ☆375Updated 6 months ago
• gtoonstra / etl-with-airflow
  ETL best practices with airflow, with examples
  ☆1,351Updated last year
• san089 / goodreads_etl_pipeline
  An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.
  ☆1,435Updated 5 years ago
• cordon-thiago / airflow-spark
  Docker with Airflow and Spark standalone cluster
  ☆262Updated 2 years ago
• cluster-apps-on-docker / spark-standalone-cluster-on-docker
  Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker.
  ☆500Updated 3 weeks ago
• josephmachado / efficient_data_processing_spark
  Code for "Efficient Data Processing in Spark" Course
  ☆347Updated last month
• gocardless / airflow-dbt
  Apache Airflow integration for dbt
  ☆411Updated last year