1.stepll2026 / OntiCards
OntiCards 是面向企业的 AI 数据中枢（AI Data Hub），围绕业务数据库提供一站式能力：数据源连接、元数据理解、自然语言查询、跨源融合、数据质检、查询审计与数据资产管理等
+125 stars
from 582 · score 4.84
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6 repositories by Attention Score · Oct 28, 2026 – Nov 3, 2026 (UTC)
2.open-metadata / OpenMetadata
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.
- metadata
- datadiscovery
- dataquality
- data-profiling
- metadata-management
- data-catalog
- +14 more
+71 stars
from 15,601 · score 4.28
3.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.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
- model-monitoring
- html-report
- +8 more
+18 stars
from 8,016 · score 2.94
4.fivetran / great_expectations
Always know what to expect from your data.
- pipeline-tests
- dataquality
- datacleaning
- datacleaner
- data-science
- data-profiling
- +14 more
+8 stars
from 11,906 · score 2.20
5.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.
- weak-supervision
- data-cleaning
- data-quality
- noisy-labels
- data-centric-ai
- out-of-distribution-detection
- +14 more
+8 stars
from 11,721 · score 2.20
6.Data-Centric-AI-Community / fg-data-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
- pandas-profiling
- pandas-dataframe
- statistics
- jupyter-notebook
- exploration
- data-science
- +14 more
+4 stars
from 13,743 · score 1.61