awslabs / deequLinks
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
☆3,482Updated last week
Alternatives and similar repositories for deequ
Users that are interested in deequ are comparing it to the libraries listed below
Sorting:
- Python API for Deequ☆788Updated 4 months ago
- Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting…☆4,629Updated 3 weeks ago
- Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io☆2,152Updated this week
- Collect, aggregate, and visualize a data ecosystem's metadata☆1,996Updated last week
- An Open Standard for lineage metadata collection☆2,086Updated this week
- Construct Apache Airflow DAGs Declaratively via YAML configuration files☆1,335Updated last week
- Curated list of resources about Apache Airflow☆3,827Updated last year
- An open protocol for secure data sharing☆861Updated last week
- PySpark test helper methods with beautiful error messages☆713Updated 3 weeks ago
- Always know what to expect from your data.☆10,642Updated last week
- An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Tr…☆8,215Updated last week
- MLeap: Deploy ML Pipelines to Production☆1,520Updated 8 months ago
- This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring…☆1,172Updated 11 months ago
- Essential Spark extensions and helper methods ✨😲☆761Updated last month
- ☆1,666Updated this week
- This is the development repository for sparkMeasure, a tool and library designed for efficient analysis and troubleshooting of Apache Spa…☆784Updated last week
- The Internals of Apache Spark☆1,514Updated last month
- Guides and docs to help you get up and running with Apache Airflow.☆808Updated 3 weeks ago
- Data Lineage Tracking And Visualization Solution☆638Updated this week
- Jupyter magics and kernels for working with remote Spark clusters☆1,357Updated last month
- ETL best practices with airflow, with examples☆1,341Updated 10 months ago
- A curated list of awesome Apache Spark packages and resources.☆1,823Updated 10 months ago
- Nessie: Transactional Catalog for Data Lakes with Git-like semantics☆1,289Updated last week
- Base classes to use when writing tests with Spark☆1,539Updated 2 weeks ago
- A series of DAGs/Workflows to help maintain the operation of Airflow☆1,736Updated last year
- Qubole Sparklens tool for performance tuning Apache Spark☆582Updated last year
- Dremio - the missing link in modern data☆1,437Updated 3 months ago
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,101Updated 4 months ago
- Hopsworks - Data-Intensive AI platform with a Feature Store☆1,247Updated 6 months ago
- re_data - fix data issues before your users & CEO would discover them 😊☆1,568Updated last year