compare
Deequ vs Pandera
The same facts for both, read from GitHub every night, and the relation a person reviewed.
| Fact | Deequ | Pandera |
|---|---|---|
| Language | Scala | Python |
| Licence | Apache-2.0 | MIT |
| Stars | 3.6k | 4.5k |
| Latest | 2.1.0 | v0.34.1 |
| Last push | 2026-10-13 | 2026-10-19 |
| Release cadence | about 4 days between releases | about 18 days between releases |
| Active contributors | 3 commit authors on the default branch in the last 90 days | 34 commit authors on the default branch in the last 90 days |
| Flags | none | none |
How they relate
Both replace Great Expectations. Alternatives to Great Expectations →
PartialDeequData quality checks and metrics on Apache Spark, written in Scala.
PartialPanderaSchema validation for dataframes in Python, without data docs or a checkpoint runner.
Deequ
- 2.1.02026-09-16Update version in pom.xml to 2.0.21-spark-3.5 by @github-actions[bot] in
- 2.0.212026-06-18Fix profiling of columns whose names require escaping (e.g. a leading space)
- 2.0.202026-06-16Update version in pom.xml to 2.0.18-spark-3.5 by @github-actions[bot] in
- 2.0.192026-06-15
- 2.0.182026-06-08Add Variance analyzer with DQDL rule support and tests
Pandera
- v0.34.12026-10-06Add spec for generic dataframe-agnostic schema API
- v0.34.02026-10-05This release adds TensorDict as a supported data container that can be validated with pandera:
- v0.33.12026-09-01docs: announce Pandera CLI and PyArrow support in banner
- v0.33.02026-08-30v0.33.0: Introducing `pandera` CLI, support pyarrow table
- v0.32.12026-06-29fix: isolate config context per execution context
Deequ
✓ signed The latest release, 2.1.0, carries a signature GitHub verified.
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Pandera
✓ signed The latest release, v0.34.1, carries a signature GitHub verified.
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