Data tooling landscape

Data Quality Plane

Proves data is fit for use. Tests, validation rules, data contracts and profiling.

9 tools · 3 categories

Testing & Validation (4)

Deequ

Data Quality Plane · Testing & Validation

Library from AWS Labs for defining unit tests for data on Apache Spark.

  • Open source

Great Expectations

Data Quality Plane · Testing & Validation

Data validation framework for defining, running and documenting expectations about data. GX Core is Apache 2.0 and now stewarded by Fivetran; GX Cloud was acquired by FICO and withdrawn from public sale in June 2026.

  • Open source

Pandera

Data Quality Plane · Testing & Validation

Statistical data validation for DataFrames in Python.

  • Open source

Soda

Data Quality Plane · Testing & Validation

Data quality and data contract verification with checks written in YAML, plus a cloud platform. Soda Core moved from Apache 2.0 to the Elastic License 2.0 with version 4 in January 2026, so the engine is source-available.

  • Source available

Data Contracts (3)

Data Contract CLI

Data Quality Plane · Data Contracts

Command-line tool for linting, testing and exporting data contracts.

  • Open source

Gable

Data Quality Plane · Data Contracts

Data contract platform that detects breaking data changes at the source, in code.

  • Commercial

Open Data Contract Standard

Data Quality Plane · Data Contracts

Open specification from the Bitol project for describing data contracts in YAML.

  • Open source

Profiling & Anomaly Detection (2)

Anomalo

Data Quality Plane · Profiling & Anomaly Detection

Automated data quality monitoring that uses machine learning to detect anomalies.

  • Commercial

ydata-profiling

Data Quality Plane · Profiling & Anomaly Detection

Python library that generates exploratory data profiling reports from DataFrames. Renamed in April 2026 from ydata-profiling to fg-data-profiling, imported as data_profiling; the old package no longer receives updates.

  • Open source