databrickslabs/dqx

[FEATURE]: Extend is_valid_national_id to support UK and India 1 day ago

enhancement good first issue DQX Core

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: New check for country subdivision codes (ISO 3166-2) 1 day ago

enhancement good first issue DQX Core

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: New check for UUID format validation 1 day ago

enhancement good first issue DQX Core

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[CHORE]: Improve Tests to prevent parameter position breaking-changes 2 days ago

good first issue non-user facing

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: New check to validate string case 17 days ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: New check to validate SSN Number 17 days ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Guard check filter about 1 month ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Extend profiler with additional metrics about 1 month ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Add has_no_outliers function to automated generated rules with profiler about 1 month ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Documentation on connecting existing Genie space to DQX Dashboard about 2 months ago

documentation good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Enhance documentation for workspace installation wizard about 2 months ago

documentation good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Document data drift detection for profiling purposes 2 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Add methods for semantic rule validation 2 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Documentation: Query Cookbook 2 months ago

enhancement good first issue Q2 2026

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Guard results of AI-assisted rules generation 3 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Add geofencing checks 3 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[BUG]: DQX Studio App build fails if the path has a space 3 months ago

bug good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Add email validation check function 3 months ago

enhancement good first issue Q2 2026

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[BUG]: py.typed missing 4 months ago

bug good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[BUG]: filter not applied on foreign key check 4 months ago

bug good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Foreign key check with null safe support 4 months ago

enhancement good first issue Q2 2026

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Improve summary stats report for string datatype columns 4 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[BUG]: AI-assisted rules generation for sql_query missing curly brackets for input placeholder 4 months ago

bug good first issue Q2 2026

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Configurable criticality for profiler job 4 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[BUG]: Row-based approach to errors/warnings fails on empty dataframes 4 months ago

bug good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Option to skip checks quietly and improve logging of skipped checks 5 months ago

enhancement good first issue Q1 2026

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: List of expected_schema in has_valid_schema check 5 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[BUG]: Fix profiling rules for empty string values 5 months ago

bug good first issue triage DQX Core

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Check if a column of polygons is mutually disjoint 5 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Validation of upstream tables 5 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Filter data quality check functions generated by profiler 5 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Explicit exclusion list of columns from being included in profiling 5 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Enhance CLI to be able to uninstall dqx from a custom folder 5 months ago

enhancement good first issue Q4 2025

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Document recommendation for the cluster size for profiling 5 months ago

documentation good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Document DQX installation using CLI in non-interactive way 5 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Improve profiler and generator documentation 6 months ago

documentation good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Create is_null, is_empty and is_null_or_empty checks 6 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Add optional rounding for `_aggr` check_funcs 6 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: is_not_in_list check function 8 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Add float support to is_in_range function 8 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[FEATURE]: Add count distinct 8 months ago

enhancement good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

[BUG]: is_not_equal_to function treats string values as SQL expressions instead of literals, causing "column not found" errors 9 months ago

bug good first issue

databrickslabs/dqx

436

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Python

#data-profiling#data-quality#data-quality-monitoring#databricks#databricks-cli-installable#lakeflow#spark#spark-streaming#unity-catalog

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