The Open Source Feature Store for Machine Learning
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Updated
Jun 1, 2024 - Python
The Open Source Feature Store for Machine Learning
OpenMetadata is a unified platform for discovery, observability, and governance powered by a central metadata repository, in-depth lineage, and seamless team collaboration.
数据质量检查工具, 用于诊断数据的问题
On this site I share personal thoughts about data, data governance, data quality, metadata, and side projects.
Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
Tool for automatic determination of data quality (accuracy and precision) of wearable eye tracker recordings
The open-source tool for building high-quality datasets and computer vision models
Client interface for all things Cleanlab Studio
Always know what to expect from your data.
lakeFS - Data version control for your data lake | Git for data
Home of the Open Data Contract Standard (ODCS).
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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
Example API implementation for Data Caterer
Test data management tool for any data source, batch or real-time
Source-available data quality tool
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
This automated anomaly detection preprocessing pipeline can be used to automatically preprocess tabular data for anomaly detection methods.
Lecture slides on Electronic Health Record Data Quality
⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
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