Repository Index

Always know what to expect from your data.

• pipeline-tests
• dataquality
• datacleaning
• datacleaner

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

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

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.

• machine-learning
• ml
• model-validation
• data-validation

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

• dataquality
• spark
• unit-testing
• scala

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

• ai-pipelines
• approximate-statistics
• statistical-properties
• data-quality

The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

• data-lineage
• data-governance
• data-warehouse
• snowflake

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

• dataprep
• data-science
• datapreparation
• dataconnector

Scalable data pre processing and curation toolkit for LLMs

• data-curation
• llm
• data
• data-prep

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

• analytics
• bigquery
• data-modeling
• data-pipelines

re_data - fix data issues before your users & CEO would discover them 😊

• data-monitoring
• data-analysis
• data-quality
• data-quality-monitoring

Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

• data-analytics
• data-cleaning
• data-cleansing
• data-engineering

The repository host gives no description.

• hacktoberfest
• data
• datalineage
• dbt

Data Quality and Observability platform for the whole data lifecycle, from profiling new data sources to full automation with Data Observability. Configure data quality checks from the UI or in YAML files, let DQOps run the data quality checks daily to detect data quality issues.

• data-ops
• data-quality
• data-quality-checks
• data-quality-measurement

Generate the smallest test dataset that provably catches broken data-mapping rules in ETL pipelines.

Field-level assurance for data pipelines: mapping-driven source-to-target validation, fault-injection test scoring and explainable risk-adaptive test prioritization.

Declarative data quality engine. Define checks in YAML, run anywhere.

• airflow
• anomaly-detection
• data-contracts
• data-quality

A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.

• anomaly-detection
• bigquery
• cli
• data-engineering