Function decorators for Pandas and Polars DataFrame validation - columns, data types, and row-level validation with Pydantic

🔍 Enhance model robustness with noise injection techniques to tackle messy, real-world data and improve machine learning performance.

🩺 Diagnose and treat missing values in machine learning datasets with tools to quantify, visualize, and impute, all while evaluating impact on model performance.

🔍 Measure data authenticity and quality in synthetic analytics for safer AI. Explore relationships, diversity, and truthfulness in modern machine learning.

🔍 Evaluate synthetic data quality against real tabular datasets with Autocurator, measuring fidelity, coverage, privacy, and utility through clear metrics and visual reports.

🐸 Evaluate Russian language quality in LLMs by measuring typical errors through benchmark tests with diverse datasets for improved responses.

📊 Analyze time-series data to measure system resilience with this Docker-friendly tool for precise, professional deployment.

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.

📊 Clean and transform raw sales data for insightful analysis, enhancing data quality for better business intelligence in retail environments.

🛡️ Streamline data governance for SaaS with the Data Steward Agent, ensuring compliance and integrity for critical data management.

🔍 Evaluate and compare imputation methods with consistent metrics using the intuitive S3 interface of the `imputetoolkit` R package.

📚 Explore a curated library for mastering Machine Learning, Deep Learning, and AI through free resources, courses, and tools for all levels.

Examples of Interzoid's AI-Powered Data Quality, Data Verification, and Data Enrichment APIs. This is includes sample code on many platforms, no-code browser tools for calling the APIs, and browser-based tools for batch processing, customized data enrichment, and more.

🗄️ Learn PostgreSQL through real-world scenarios, hands-on exercises, and advanced patterns, guiding you from beginner to expert.

🐙 iFood Data Governance Pipeline oferece governança de dados corporativa para o domínio de delivery, com rastreabilidade, qualidade automatizada e conformidade LGPD.

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

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.

Open-source data quality platform for SQL warehouses. Automated setup, profiling, drift detection, anomaly detection, validation, and AI-powered root cause analysis. Built for engineers who want transparency and control.

Scalable data pre processing and curation toolkit for LLMs

A production-ready data contract registry and validation studio. Manage schemas, detect drift, and enforce data quality with a UI.