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Learn how to develop, deploy and iterate on production-grade ML applications.
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Always know what to expect from your data.
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Always know what to expect from your data.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
The Open Source Feature Store for AI/ML
lakeFS - Data version control for your data lake | Git for data
Data Contracts engine for the modern data stack. https://www.soda.io
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Data validation toolkit for assessing and monitoring data quality.