Compatibility result
Apache Spark 4.2+Python 3.10
Why?
Why is Apache Spark 4.2 compatible with Python 3.10?
- Requirement
- Python >=3.10
- Selected version
- Python 3.10
- Evaluation
- 3.10.21 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: HIGHhttps://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.
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.
Lifecycle context
Lifecycle status is separate from compatibility. An EOL component can still satisfy a documented version requirement.
- Status
- STANDARD SUPPORT
- Status
- SECURITY SUPPORT
- EOL
- 1 October 2026
Security context
Compatibility, lifecycle, and security are separate dimensions.
- Python 3.10: 18 tracked advisories for this line. View details →
CompatHub does not invent vulnerability data.
