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data-quality-monitoring
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Compare tables within or across databases
⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
re_data - fix data issues before your users & CEO would discover them 😊
Know your data better！Datavines is Next-gen Data Observability Platform, support metadata manage and data quality.
🐳 Tool to automate data quality checks on data pipelines
Databricks framework to validate Data Quality of pySpark DataFrames
数据治理、数据质量检核/监控平台（Django+jQuery+MySQL）
Open Source Data Quality Monitoring.
Data Quality and Observability platform for the whole data lifecycle, from profiling new data sources to full automation with Data Observability. Configure data quality checks from the UI or in YAML files, let DQOps run the data quality checks daily to detect data quality issues.
Watchmen Platform is a low code data platform for data pipeline, meta data management , analysis, and quality management
Swiple enables you to easily observe, understand, validate and improve the quality of your data
A python library to send data to Arize AI!
A Data Centric NER annotation tool for your Named Entity Recognition projects
A data layer quality monitoring and validation module, this solution is part of the Raft Suite ecosystem.
R package for delineating temporal dataset shifts in Eletronic Health Records
Load dbt artifacts uploaded to GCS to BigQuery in order to track historical dbt results
🔍Your Data Quality Detector / Gain insight into your data and get it ready for use before you start working with it 💡📊🛠💎
Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
⚡ Prevent downstream data quality issues by integrating the Soda Library into your CI/CD pipeline.