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VOOZH | about |
Learn how to develop, deploy and iterate on production-grade ML applications.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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.
Refine high-quality datasets and visual AI models
OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.
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
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Compare tables within or across databases
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
Data Contracts engine for the modern data stack. https://www.soda.io
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Feathr – A scalable, unified data and AI engineering platform for enterprise
re_data - fix data issues before your users & CEO would discover them 😊
Scalable data pre processing and curation toolkit for LLMs
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
Automatically find issues in image datasets and practice data-centric computer vision.
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