Top 3 Python data-quality-check Projects

soda-core

5 1,765 8.9 Python

:zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
swiple

1 78 0.0 Python

Swiple enables you to easily observe, understand, validate and improve the quality of your data
InfluxDB

www.influxdata.com featured

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
DQC-Toolkit

1 0 4.3 Python

Data quality checks to curate noisy labels in the data

Project mention: Handling Noisy Labels in Text Classification | dev.to | 2024-04-24

Instead of building your own DQC, you could also simply use DQC-Toolkit, the open source library mentioned at the beginning of this post, to run quality checks on data. To understand how to use it, let's do a quick demo by extending the reproducibility experiment to DQC Toolkit.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).