Data Contracts engine for the modern data stack. https://www.soda.io
Data checks written in a YAML-based language and run in pipelines.
Always know what to expect from your data.
Soda Core, Pandera y Deequ. 3 alternativas a Great Expectations, en Python, Scala. Compara el nivel de sustitución, la licencia, las estrellas y la última versión firmada.
| Herramienta | Sustitución | Estrellas | Licencia | Condiciones | Autoalojable | Lenguaje | Última versión | Último push |
|---|---|---|---|---|---|---|---|---|
| Soda Core | Sustitución completa | 2.4k | Other | Código disponible | No | Python | v4.27.0 | 2026-10-16 |
| Pandera | Parcial | 4.5k | MIT | Código abierto | No | Python | v0.34.1 | 2026-10-19 |
| Deequ | Parcial | 3.6k | Apache-2.0 | Código abierto | No | Scala | 2.1.0 | 2026-10-13 |
3 alternativas
Data Contracts engine for the modern data stack. https://www.soda.io
Data checks written in a YAML-based language and run in pipelines.
A light-weight, flexible, and expressive statistical data testing library
Schema validation for dataframes in Python, without data docs or a checkpoint runner.
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Data quality checks and metrics on Apache Spark, written in Scala.