Alternatives and similar repositories for spark-df-profiling

Users that are interested in spark-df-profiling are comparing it to the libraries listed below

• dvgodoy / handyspark
  HandySpark - bringing pandas-like capabilities to Spark dataframes
  ☆196Updated 6 years ago
• FRosner / drunken-data-quality
  Spark package for checking data quality
  ☆222Updated 5 years ago
• margitaii / pydeequ
  Python API for Deequ
  ☆41Updated 5 years ago
• danielvdende / data-testing-with-airflow
  ☆202Updated 2 years ago
• ekampf / PySpark-Boilerplate
  A boilerplate for writing PySpark Jobs
  ☆394Updated last year
• dennyglee / databricks
  Repository of sample Databricks notebooks
  ☆273Updated last year
• sosuneko / pydqc
  python automatic data quality check toolkit
  ☆281Updated 5 years ago
• Bergvca / pyspark_dist_explore
  Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
  ☆102Updated 6 years ago
• kawadia / pyspark.test
  Example unit tests for Apache Spark Python scripts using the py.test framework
  ☆84Updated 9 years ago
• amundsen-io / amundsendatabuilder
  Data ingestion library for Amundsen to build graph and search index
  ☆204Updated last year
• minrk / findspark
  ☆525Updated 3 weeks ago
• krishnan-r / sparkmonitor
  Monitor Apache Spark from Jupyter Notebook
  ☆172Updated 3 years ago
• joblib / joblib-spark
  Joblib Apache Spark Backend
  ☆249Updated 8 months ago
• dsaidgovsg / airflow-pipeline
  An Airflow docker image preconfigured to work well with Spark and Hadoop/EMR
  ☆175Updated 6 months ago
• zero323 / pyspark-stubs
  Apache (Py)Spark type annotations (stub files).
  ☆118Updated 3 years ago
• jkthompson / pyspark-pictures
  Learn the pyspark API through pictures and simple examples
  ☆170Updated 4 years ago
• awesome-spark / spark-gotchas
  Spark Gotchas. A subjective compilation of the Apache Spark tips and tricks
  ☆361Updated 8 years ago
• malexer / pytest-spark
  pytest plugin to run the tests with support of pyspark
  ☆86Updated 7 months ago
• ananthdurai / airflow-training
  Airflow training for the crunch conf
  ☆104Updated 7 years ago
• zero323 / pyspark-asyncactions
  Asynchronous actions for PySpark
  ☆48Updated 4 years ago
• ubisoft / mobydq
  Tool to automate data quality checks on data pipelines
  ☆256Updated 3 years ago
• adtech-labs / spylon-kernel
  Jupyter kernel for scala and spark
  ☆190Updated last year
• rdblue / jupyter-zeppelin
  Conversion utility from Zeppelin notes to Jupyter notebooks.
  ☆44Updated 5 years ago
• mikulskibartosz / check-engine
  Data validation library for PySpark 3.0.0
  ☆33Updated 3 years ago
• sparklingpandas / sparklingml
  Machine Learning Pipeline Stages for Spark (exposed in Scala/Java + Python)
  ☆74Updated 2 years ago
• sourav-mazumder / Data-Science-Extensions
  ☆69Updated 4 years ago
• mikeghen / airflow-tutorial
  Use Airflow to move data from multiple MySQL databases to BigQuery
  ☆100Updated 5 years ago
• mrpowers-io / spark-style-guide
  Spark style guide
  ☆271Updated last year
• kenfar / DataGristle
  Tough and flexible tools for data analysis, transformation, validation and movement.
  ☆140Updated last year
• greatexpectationslabs / ge_tutorials
  Learn how to add data validation and documentation to a data pipeline built with dbt and Airflow.
  ☆168Updated 2 years ago