data-observability

Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.

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

⚡ Data quality management for SQL, Spark, and Pandas-accessible data

Open-source data observability for analytics engineers.

Code review for data in dbt

Data anomalies monitoring as dbt tests and dbt artifacts uploader.

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

Endpoint downtime detection, monitoring, and traffic simulation developer tool

Swiple enables you to easily observe, understand, validate and improve the quality of your data

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

Know your data better！DataVines is Next-gen Data Observability Platform

Open-source metadata collector based on ODD Specification

Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.

dbt native framework built to observe modern data stack

DataSphere is the first open-source cloud-native data observability platform that helps you trace the whole data infrastructure in your warehouses, lakes and databases.

Open-source GCP metadata collector based on ODD Specification

Automatically validate datasets, poll task status, and display validation results in a GitHub using Swiple pull request.

Data Lineage Observability Project

A simple to use EventEmitter and Data-Observer python package.

Expectation Maximization (EM) algorithm for estimating maximum likelihood (ML) parameters of partially observed data on a three-node Bayesian Network Probabilistic Graphical Model.