deequ
Data inspector
A library for testing data quality in large datasets
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
3k stars
80 watching
541 forks
Language: Scala
last commit: almost 2 years agoLinked from 3 awesome lists
dataqualityscalasparkunit-testing
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A Python API for defining unit tests for data quality in large datasets | 734 | |
| A Python package that allows users to work with pandas DataFrames on top of Apache Spark | 3,343 | |
| A PyTorch implementation on Apache Spark for distributed deep learning model training and inference. | 339 | |
| Examples and tutorials for learning Spark using Java and Scala | 3,892 | |
| A research-focused implementation of Apache Spark with homomorphic encryption support | 3 | |
| An interactive web-based editor for exploring and analyzing large datasets using Scala, Apache Spark, and other data science tools | 3,155 | |
| A testing helper library for Apache Spark applications. | 437 | |
| Provides a set of pre-trained models and libraries for natural language processing tasks on top of Apache Spark | 3,889 | |
| An analytics engine designed to handle large-scale data processing and analysis | 40,170 | |
| Provides high-performance APIs for using Apache Spark with .NET | 2,032 | |
| A library that enables integration between Apache Spark and Apache Cassandra for fast data processing and analysis. | 1,944 | |
| An adaptation of ACSL by Example for SPARK 2014 to verify Ada programs with formal methods | 154 | |
| A library that brings useful functions from various modern database management systems to Apache Spark | 56 | |
| Wraps Stanford CoreNLP annotators as Spark DataFrame functions for natural language processing tasks | 422 | |
| A tool used to simulate heavy loads on servers and measure their performance under different conditions. | 8,467 |