23 Open source projects that are alternatives of or similar to Django-Data-quality-system

re_data - fix data issues before your users & CEO would discover them 😊

A library for managing, validating, summarizing, and visualizing data.

hooqu is a library built on top of Pandas-like Dataframes for defining "unit tests for data". This is a spiritual port of Apache Deequ to Python

The PEDSnet Data Quality Assessment Toolkit (OMOP CDM)

A data layer quality monitoring and validation module, this solution is part of the Raft Suite ecosystem.

NBi is a testing framework (add-on to NUnit) for Business Intelligence and Data Access. The main goal of this framework is to let users create tests with a declarative approach based on an Xml syntax. By the means of NBi, you don't need to develop C# or Java code to specify your tests! Either, you don't need Visual Studio or Eclipse to compile y…

QAMyData, a data quality assurance tool for SPSS, STATA, SAS and CSV files.

A tool to help improve data quality standards in observational data science.

Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)

Data validation library for PySpark 3.0.0

Migrated to: https://gitlab.com/Oslandia/osm-data-classification

Versatile Data Kit (VDK) is an open source framework that enables anybody with basic SQL or Python knowledge to create their own data pipelines.

Python Radar Data Processing

Librería para la evaluación de calidad de datos, e interacción con el portal de datos.gov.co

A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.

A collection of scripts written to complete DQLab Data Analyst Career Track 📊

Easy way to define, execute and store quality rules for your data.

Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes

Data quality estimations for OpenStreetMap

hive_compared_bq compares/validates 2 (SQL like) tables, and graphically shows the rows/columns that are different.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Create HTML profiling reports from pandas DataFrame objects

Always know what to expect from your data.