1.evidentlyai / evidently
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.
+269 stars
from 7,760 · score 5.60
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Ranked by Attention Score: stars gained over the last 90 complete days
10 repositories by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
2.cleanlab / cleanlab
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.
+140 stars
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3.rjsf-team / react-jsonschema-form
A React component for building Web forms from JSON Schema.
+102 stars
from 15,826 · score 4.63
4.unionai-oss / pandera
A light-weight, flexible, and expressive statistical data testing library
+102 stars
from 4,405 · score 4.63
5.deepchecks / deepchecks
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.
+34 stars
from 4,035 · score 3.56
6.posit-dev / pointblank
Data validation toolkit for assessing and monitoring data quality.
+34 stars
from 463 · score 3.56
7.implerhq / impler.io
Powerful CSV & Excel Import experience for SaaS 🚀 Save months building data import experience from scratch 💰
+7 stars
from 287 · score 2.08
8.pyeve / cerberus
Lightweight, extensible data validation library for Python
+5 stars
from 3,276 · score 1.79
9.mus-format / mus-go
MUS format serializer for Go
+3 stars
from 142 · score 1.39
10.vertti / daffy
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.
+2 stars
from 58 · score 1.10