{"repo":"dqops/dqo","free":true,"listed":false,"github":"https://github.com/dqops/dqo","clone":"git clone https://github.com/dqops/dqo.git","description":"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.","language":"Java","stars":194,"topics":["data-ops","data-quality","data-quality-checks","data-quality-measurement","data-quality-monitoring","data-quality-report","monitoring","data-observability","data-profiling"],"license":null,"category":"analytics","readme_excerpt":"DQOps Data Quality Operations Center DQOps is a DataOps-friendly data quality monitoring tool with customizable data quality checks and data quality dashboards. DQOps comes with around 150 predefined data quality checks, which help you monitor the quality of your data. Key features - Intuitive graphical interface and access via CLI - Support of a number of different data sources: BigQuery, Snowflake, PostgreSQL, Redshift, SQL Server and MySQL - 150 built-in table and column checks with easy customization - Table and column-level checks, which allow writing your own SQL queries - Daily and monthly date partition testing - Data grouping by up to 9 different data grouping levels - Built-in job scheduling - Calculation of data quality KPIs which can be displayed on multiple built-in data quality dashboards - Data quality incident management and notifications Installation To use DQOps, you need: - Python version 3.8 or greater (for details see Python's documentation and download sites). - Ability to install Python packages with pip. - If you want to compile DQOps locally, you also need Java JDK (version 17 or higher) and a configured JAVA HOME environment variable. DQOps is available on PyPi repository. 1. To install DQOps via pip manager, just run If you prefer to work with the source code, just clone our GitHub repository https://github.com/dqops/dqo and run 2. Run dqops app to finalize the installation. 3. Create DQOps userhome folder. After installation, you will be asked whet","default_branch":null,"files":null,"tree":[],"storefront":"/r/dqops","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/dqops/dqo/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}