data-reliability

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

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.

Code review for data in dbt

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.

A schema contract guard for data pipelines. Detects, classifies, and reports schema changes in PostgreSQL databases.

AI-native open-source data reliability platform. Trust Score for every dataset.

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

Data Reliability Index is a Python package for attaching trust metadata to data, scoring reliability, and filtering records through explicit policies before they are used in analysis, APIs, or pipelines.

Autonomous data quality and lineage reliability mesh with anomaly detection, reinforcement-learning remediation, and a lineage-aware control plane.

ML anomaly detector for data quality timeseries (Isolation Forest + LSTM Autoencoder + drift detection)

Production-style data pipeline reliability lab with failure injection, data contracts, idempotency, SLA monitoring, incident detection, runbooks, and postmortems.

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.

LLM tool-calling data quality agent with read-only PostgreSQL, evidence guardrails, traces, evals, FastAPI, Docker, and CI-verified reports.

AI reviewer for dbt model files

数据质量检查工具, 用于诊断数据的问题

Multi-agent AI on-call assistant for data teams. Named after Gilfoyle's autonomous SRE in Silicon Valley.

Data reliability and governance framework for quality controls, telemetry evidence, incident response, and ISO-aligned audit readiness.

Generate dbt tests for a warehouse table using Claude