Data Contracts engine for the modern data stack. https://www.soda.io

Code review for data in dbt

This dbt package captures metadata, artifacts, and test results so you can detect anomalies, monitor data quality, and build metadata tables. It powers Elementary OSS and feeds the wider context layer used by Elementary Cloud’s full Data & AI Control Plane.

Installer for DataKitchen's Open Source Data Observability Products. Data breaks. Servers break. Your toolchain breaks. Ensure your team is the first to know and the first to solve with visibility across and down your data estate. Save time with simple, fast data quality test generation and execution. Trust your data, tools, and systems end to end.

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

⚡ Prevent downstream data quality issues by integrating the Soda Library into your CI/CD pipeline.

Stop AI agents breaking on bad data - Open source data quality validation framework for reliable agent workflows

数据质量检查工具, 用于诊断数据的问题

A lightweight research-oriented project analyzing how noise, missing values, and corrupted features affect machine learning model reliability. Includes synthetic data generation, multi-model training, and noise-impact evaluation with visualization. Designed as a teaching/learning artifact for data quality, robustness, and ML reliability concepts.

🔍 Analyze how noisy and incomplete data impacts machine learning model performance on binary classification tasks with robust evaluation methods.