First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
-
Updated
May 30, 2024 - Java
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
OpenMetadata is a unified platform for discovery, observability, and governance powered by a central metadata repository, in-depth lineage, and seamless team collaboration.
⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
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.
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.
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.
DataOps Observability Integration Agents are part of DataKitchen's Open Source Data Observability. They connect to various ETL, ELT, BI, data science, data visualization, data governance, and data analytic tools. They provide logs, messages, metrics, overall run-time start/stop, subtask status, and scheduling information to DataOps Observability.
DataOps TestGen is part of DataKitchen's Open Source Data Observability. DataOps TestGen delivers simple, fast data quality test generation and execution by data profiling, new dataset screening and hygiene review, algorithmic generation of data quality validation tests, ongoing testing of new data refreshes, & continuous data anomaly monitoring
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.
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.
Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
Open Source Data Quality Monitoring.
re_data - fix data issues before your users & CEO would discover them 😊
This open-source Terraform provider enables users to seamlessly integrate the Monte Carlo data reliabillity platform into their infrastructure as a code (IaC) workflows.
re_data - fix data issues before your users & CEO would discover them 😊
Swiple enables you to easily observe, understand, validate and improve the quality of your data
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.
Códigos, plataformas, ferramentas e processos em alta;
Code review for data in dbt
Add a description, image, and links to the data-observability topic page so that developers can more easily learn about it.
To associate your repository with the data-observability topic, visit your repo's landing page and select "manage topics."