rstudio/pointblank

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1047 stars · 60 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

pointblank is an R package for methodically validating data in data frames and database tables, producing data quality reports. It also maintains up-to-date table metadata and data dictionaries via informant objects.

Use cases

• validate data quality of data frames and database tables
• generate data quality analysis reports
• profile tables and build data dictionaries
• check schema and column-level assertions on tables
• schedule periodic validation of on-disk data files
• email data quality reports when failure thresholds are exceeded

When to choose

• you work in R and need systematic data validation with readable reports
• you need to keep table metadata and data dictionaries up to date
• you validate both local data frames and remote database tables
• you want YAML-configured validation workflows with alerting

When to avoid

• you need data validation in Python or another non-R language
• you need streaming or real-time data quality monitoring at scale
• you only need simple unit tests rather than data quality checks

Facets

library · maturity active

testing analytics data-science etl monitoring data-science analytics databases developer-tools cross-platform data-validation data-quality data-profiling data-dictionary schema-validation yaml-configuration reporting r-package data-frames database-tables data-engineering r

Member repositories

For agents

markdown · JSON · MCP: product_card(name="rstudio/pointblank")