Alternatives and similar repositories for ceja

Users that are interested in ceja are comparing it to the libraries listed below

• mikulskibartosz / check-engine
  Data validation library for PySpark 3.0.0
  ☆33Updated 3 years ago
• zero323 / pyspark-asyncactions
  Asynchronous actions for PySpark
  ☆48Updated 4 years ago
• jeppe742 / DeltaLakeReader
  Read Delta tables without any Spark
  ☆47Updated last year
• julioasotodv / spark-df-profiling
  Create HTML profiling reports from Apache Spark DataFrames
  ☆197Updated 6 years ago
• capitalone / locopy
  locopy: Loading/Unloading to Redshift and Snowflake using Python.
  ☆115Updated this week
• MrPowers / spark-stringmetric
  Spark functions to run popular phonetic and string matching algorithms
  ☆59Updated 3 years ago
• tubular / sparkly
  Helpers & syntactic sugar for PySpark.
  ☆62Updated 2 months ago
• MrPowers / gill
  An example PySpark project with pytest
  ☆18Updated 8 years ago
• malexer / pytest-spark
  pytest plugin to run the tests with support of pyspark
  ☆88Updated 8 months ago
• tomaszdudek7 / airflow_project
  scaffold of Apache Airflow executing Docker containers
  ☆85Updated 3 years ago
• ananthdurai / airflow-training
  Airflow training for the crunch conf
  ☆105Updated 7 years ago
• datastacktv / kubeflow-introduction
  Code examples for the Introduction to Kubeflow course
  ☆14Updated 5 years ago
• idealo / terraform-emr-pyspark
  Quickstart PySpark with Anaconda on AWS/EMR using Terraform
  ☆47Updated last year
• MrPowers / farsante
  Fake Pandas / PySpark DataFrame creator
  ☆48Updated last year
• dennyglee / databricks
  Repository of sample Databricks notebooks
  ☆275Updated last year
• jaceklaskowski / spark-delta-lake-workshop
  Spark and Delta Lake Workshop
  ☆22Updated 3 years ago
• sodadata / soda-spark
  Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes
  ☆63Updated 3 years ago
• dvgodoy / handyspark
  HandySpark - bringing pandas-like capabilities to Spark dataframes
  ☆197Updated 6 years ago
• mark-hoffmann / fastteradata
  Tools for faster and optimized interaction with Teradata and large datasets.
  ☆17Updated 7 years ago
• MrPowers / beavis
  Pandas helper functions
  ☆31Updated 2 years ago
• dimajix / spark-training
  Repository used for Spark Trainings
  ☆54Updated 2 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
• sparklingpandas / sparklingml
  Machine Learning Pipeline Stages for Spark (exposed in Scala/Java + Python)
  ☆74Updated 2 years ago
• bahchis / airflow-cookbook
  Airflow workflow management platform chef cookbook.
  ☆70Updated 6 years ago
• datacamp / viewflow
  Viewflow is an Airflow-based framework that allows data scientists to create data models without writing Airflow code.
  ☆127Updated 4 years ago
• kawadia / pyspark.test
  Example unit tests for Apache Spark Python scripts using the py.test framework
  ☆84Updated 9 years ago
• awesome-spark / learn-by-examples
  Real-world Spark pipelines examples
  ☆83Updated 7 years ago
• johnmuller87 / spark-udf
  ☆34Updated 6 years ago
• astronomer / airflow-data-quality-demo
  A repository of sample code to show data quality checking best practices using Airflow.
  ☆78Updated 2 years ago
• dsaidgovsg / airflow-pipeline
  An Airflow docker image preconfigured to work well with Spark and Hadoop/EMR
  ☆175Updated 8 months ago