data-quality

📚 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.

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Feature Store for Machine Learning

lakeFS - Data version control for your data lake | Git for data

Kestra is an infinitely scalable orchestration and scheduling platform, creating, running, scheduling, and monitoring millions of complex pipelines.

Compare tables within or across databases

The open standard for data logging

Feathr – A scalable, unified data and AI engineering platform for enterprise

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

Data reliability tools for SQL- and Spark-accessible data

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.

Data quality assessment and metadata reporting for data frames and database tables

Qualitis is a one-stop data quality management platform that supports quality verification, notification, and management for various datasource. It is used to solve various data quality problems caused by data processing. https://github.com/WeBankFinTech/Qualitis

Compilation of high-profile real-world examples of failed machine learning projects

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

📙 Awesome Data Catalogs and Observability Platforms.

Code review for data in dbt