A React component for building Web forms from JSON Schema.
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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.
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.
A light-weight, flexible, and expressive statistical data testing library
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Lightweight, extensible data validation library for Python
Data validation toolkit for assessing and monitoring data quality.
Powerful CSV & Excel Import experience for SaaS 🚀 Save months building data import experience from scratch 💰
MUS format serializer for Go
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.
Declarative data quality engine. Define checks in YAML, run anywhere.
Validates tabular CSV data using predefined validations, inspired from its Python homologue "Great Expectations".