Apache Spark 4.2+Python 3.15

Why?

Why is Apache Spark 4.2 compatible with Python 3.15?

Requirement

Python >=3.10

Selected version

Python 3.15

Evaluation

3.15.0 satisfies >=3.10

Conclusion

COMPATIBLE

Evidence

CompatHub reports compatibility from upstream sources rather than making unsupported claims of its own.

• Apache Spark Runtime Requirements

  Confidence: HIGH

  https://spark.apache.org/docs/latest/index.html

  Retrieved 2 September 2026

  Requirement: >=3.10

Python versions

Compatibility is derived from the project's declared Python requirement (>=3.10); it does not mean every version combination has been independently tested.

• 3.9❌
• 3.10✓
• 3.11✓
• 3.12✓
• 3.13✓
• 3.14✓
• 3.15✓
• 3.16✓

Other Python versions satisfying this requirement

Apache Spark 4.2 — compatible Python lines tracked in CompatHub

• ✓Python 3.10version linesupported
• ✓Python 3.11version linesupported
• ✓Python 3.12version linesupported
• ✓Python 3.13version linesupported
• ✓Python 3.14version linesupported
• ✓Python 3.15version line
• ✓Python 3.16version line

Other Apache Spark versions

Only lines with relevant compatibility evidence are listed.

• Apache Spark 4.2
• Apache Spark 4.0

Lifecycle context

Lifecycle status is separate from compatibility. An EOL component can still satisfy a documented version requirement.