Qalita Public Packs
-
Updated
Mar 17, 2024 - Python
Qalita Public Packs
Data quality made simple
⚡ Prevent downstream data quality issues by integrating the Soda Library into your CI/CD pipeline.
Data quality monitoring library designed for time series data, made for modern data stack
First try to validate OpenStreetMap watercources quality (Russia only for now)
🐳 Tool to automate data quality checks on data pipelines
Source-available data quality tool
A library of helpful pyspark functions
DQGUI is an IDE written in JavaFX for the IQM4HD DSL (Domain Specific Language)
Using SQL generate charts by customer name and create tickets and upload charts in ZenDesk.
Visually compare distributions in data sets
Load dbt artifacts uploaded to GCS to BigQuery in order to track historical dbt results
Java client to interact with Arize API
Dataset curated for evaluating the quality of COVID-19 data (surveillance, vaccination monitoring, bed availability) reporting across India.
Health Data Metrics (HDM) a Data Quality assessment Application.
Democratize data analysis and insights for non-SQL users
The script reads the dataset along the path and selects the columns in it received from the argument for the specified dates. Then it saves the report to the specified path of HDFS.
Automated Continuous Data Quality Measurement
A Data Centric NER annotation tool for your Named Entity Recognition projects
Add a description, image, and links to the data-quality-monitoring topic page so that developers can more easily learn about it.
To associate your repository with the data-quality-monitoring topic, visit your repo's landing page and select "manage topics."