Repository Index

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

• pandas-profiling
• pandas-dataframe
• statistics
• jupyter-notebook

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

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

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

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

Canonical GTFS Validator project for schedule (static) files.

• gtfs-dataset
• gtfs-validator
• gtfs-zip
• gtfs-feed

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