data-quality

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.

The Open Source Feature Store for AI/ML

Compare tables within or across databases

Data Contracts engine for the modern data stack. https://www.soda.io

Scalable data pre processing and curation toolkit for LLMs

Automatically find issues in image datasets and practice data-centric computer vision.

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.

Code review for data in dbt

Data validation toolkit for assessing and monitoring data quality.

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

🏭 Mega Scale Multimodal DataPipeline for SOTA Foundation Models

FeatHub - A stream-batch unified feature store for real-time machine learning

A platform-neutral analytical Skill that profiles messy data, selects case-adaptive methods, and produces source-backed visual reports for high-stakes decisions.

The Lakehouse Engine is a configuration driven Spark framework, written in Python, serving as a scalable and distributed engine for several lakehouse algorithms, data flows and utilities for Data Products.

企业数据分析、统计分析、数据可视化与管理报告工作台｜Analysis Lab、可追溯证据、FastAPI、Next.js、Windows。