Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
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Updated
May 23, 2024 - TypeScript
Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
re_data - fix data issues before your users & CEO would discover them 😊
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
dbt package that is part of Elementary, the dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
re_data - fix data issues before your users & CEO would discover them 😊
Code review for data in dbt
Open Source Data Quality Monitoring.
Open-source metadata collector based on ODD Specification
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.
Metrics Observability & Troubleshooting
Swiple enables you to easily observe, understand, validate and improve the quality of your data
Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes
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.
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.
DataOps Observability is part of DataKitchen's Open Source Data Observability. DataOps Observability monitors every data journey from data source to customer value, from any team development environment into production, across every tool, team, environment, and customer so that problems are detected, localized, and understood immediately.
Demo showing how the Trustworthy Language Model add reliability to LLM outputs and improves RAG, agents, and data enrichment worfklows. can be used to improve fine-tuning of LLMs, accuracy of LLM outputs, and smart routing for RAG and agents.
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