Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
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Updated
May 14, 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
re_data - fix data issues before your users & CEO would discover them 😊
数据治理、数据质量检核/监控平台(Django+jQuery+MySQL)
🐳 Tool to automate data quality checks on data pipelines
A Stata template for running high frequency checks of incoming research data at Innovations for Poverty Action
Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
An RDF Unit Testing Suite
NBi is a testing framework (add-on to NUnit) for Business Intelligence and Data Access. The main goal of this framework is to let users create tests with a declarative approach based on an Xml syntax. By the means of NBi, you don't need to develop C# or Java code to specify your tests! Either, you don't need Visual Studio or Eclipse to compile y…
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
Possibly the fastest DataFrame-agnostic quality check library in town.
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.
Swiple enables you to easily observe, understand, validate and improve the quality of your data
Data Quality Monitor (DQM) - Continuously validate your data with easy, customizable rules.
Lightweight library to write, orchestrate and test your SQL ETL. Writing ETL with data integrity in mind.
The PEDSnet Data Quality Assessment Toolkit (OMOP CDM)
Safety net for machine learning pipelines. Plays nice with sklearn and pandas.
A clinical research interface geared at collecting robust and consistent data by providing a strong framework for designing data dictionaries and collection forms.
🔍Your Data Quality Detector / Gain insight into your data and get it ready for use before you start working with it 💡📊🛠💎
Crawler assistido para validação de objetos enviados à camada de dados (Data Layer)
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