{"repo":"DataKitchen/dataops-testgen","free":true,"listed":false,"github":"https://github.com/DataKitchen/dataops-testgen","clone":"git clone https://github.com/DataKitchen/dataops-testgen.git","description":"DataOps Data Quality 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 hygiene review, AI generation of data quality validation tests, ongoing testing of data refreshes, & continuous anomaly monitoring","language":"Python","stars":77,"topics":["data","data-engineering","data-observability","data-quality","data-science","data-testing","datachecker","dataprofiling","dataquality","datavalidation"],"license":"Apache-2.0","category":"data-pipelines","readme_excerpt":"DataOps Data Quality TestGen DataOps Data Quality TestGen, or \"TestGen\" for short, can help you find data issues so you can alert your users and notify your suppliers. It does this by delivering 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 production testing of new data refreshes, and continuous anomaly monitoring of datasets. TestGen is part of DataKitchen's Open Source Data Observability. Documentation DataOps TestGen Overview DataOps TestGen Documentation Features Interactive Product Tour What does DataKitchen's DataOps Data Quality TestGen do? It helps you understand and find data issues in new data . It constantly watches your data for data quality anomalies and lets you drill into problems. A single place to manage Data Quality across data sets, locations, and teams. Installation The dk-installer program installs TestGen in either Docker or pip mode. For complete instructions, see the documentation: Install on Mac/Linux Install on Windows What Next? Getting started guide We recommend you start by going through the Data Observability Overview Demo. Support For support requests, join the Data Observability Slack 👋 and post on the #support channel. Connect to your database Follow these instructions to improve the quality of data in your database. Community Talk and learn with other data practitioners who are building with DataKitchen. Sh","default_branch":null,"files":null,"tree":[],"storefront":"/r/DataKitchen","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/DataKitchen/dataops-testgen/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."}