Python End of Life Schedule: Every Version, Every Date
Live status for all Python versions. Know when your version loses support, and what to do about it.
Python Version Status Overview
| Version | Status | Release Date | Active Support Ends | Security Support Ends | Latest Patch | Health Badge |
|---|---|---|---|---|---|---|
| Python 3.14 | Active (bugfix) | October 2025 | October 2027 | October 2030 | 3.14.3 |
|
| Python 3.13 | Active (bugfix) | October 2024 | October 2026 | October 2029 | 3.13.12 |
|
| Python 3.12 | Security-only | October 2023 | April 2025 | October 2028 | 3.12.12 |
|
| Python 3.11 | Security-only | October 2022 | April 2024 | October 2027 | 3.11.14 |
|
| Python 3.10 | Security-only (EOL Oct 2026) | October 2021 | April 2023 | October 2026 | 3.10.19 |
|
| Python 3.9 | END OF LIFE | October 2020 | April 2022 | October 2025 | 3.9.25 |
|
| Python 3.8 | END OF LIFE | October 2019 | April 2021 | October 2024 | 3.8.20 |
|
Python Version Deep-Dive
Python 3.14: Active
Key Features Introduced
- Free-threaded mode improvements (no-GIL)
- Better error messages with improved traceback formatting
- Dead battery removal (deprecated modules cleaned up)
Should You Use This Version?
Python 3.14 is the newest release with cutting-edge features. Use for new projects where you want the latest improvements, but be aware of potential compatibility issues with older packages.
Python 3.13: Active
Key Features Introduced
- Experimental JIT compiler for improved performance
- Enhanced interactive interpreter with colors and auto-completion
- Free-threading (no-GIL) mode available experimentally
Should You Use This Version?
Python 3.13 is the current stable release and excellent choice for new projects. Offers great balance of modern features and ecosystem compatibility.
Python 3.12: Security-only
Key Features Introduced
- Improved f-string syntax with nested quotes support
- Type parameter syntax (PEP 695) for cleaner generics
- Per-interpreter GIL for better sub-interpreter isolation
Should You Use This Version?
Python 3.12 is in security-only mode but still a solid choice for production. Most packages support it well. Consider upgrading to 3.13 for new projects.
Python 3.11: Security-only
Key Features Introduced
- 10-25% faster execution (CPython performance improvements)
- Exception groups and except* syntax for better error handling
- Built-in tomllib for TOML parsing, asyncio.TaskGroup
Should You Use This Version?
Python 3.11 is widely supported and still secure until October 2027. Good for existing projects, but consider 3.12+ for new development.
Python 3.10: Security-only (EOL SOON)
Key Features Introduced
- Structural pattern matching (match/case statements)
- Better error messages with precise line information
- Parenthesized context managers for cleaner with statements
Why You Should Upgrade
Python 3.10 reaches end of life in October 2026. Upgrade to Python 3.12 or 3.13 to ensure continued security support and access to modern features.
Upgrade Path
Skip intermediate versions and go directly to Python 3.13 for the best long-term support and modern features.
Python 3.9: END OF LIFE
Key Features Introduced
- Dictionary union operators (| and |=) for cleaner dict merging
- Built-in type hinting generics (list[str] instead of List[str])
- String methods removeprefix() and removesuffix()
Why You Should Upgrade
Python 3.9 reached end of life in October 2025 and is no longer receiving security updates. Vulnerabilities will go unpatched. Upgrade to Python 3.12+ immediately.
Upgrade Path
Skip intermediate versions and go directly to Python 3.13 for the best long-term support and modern features.
Python 3.8: END OF LIFE
Key Features Introduced
- Assignment expressions (walrus operator :=) for inline assignments
- F-string debugging with f"{variable=}" syntax
- Positional-only parameters for more precise function signatures
Why You Should Upgrade
Python 3.8 reached end of life in October 2024 and is no longer receiving security updates. Vulnerabilities will go unpatched. Upgrade to Python 3.12+ immediately.
Upgrade Path
Skip intermediate versions and go directly to Python 3.13 for the best long-term support and modern features.
Lifecycle Timeline
Visual overview of active support and maintenance windows.
Upgrade Paths
Migration guidance between major versions — breaking changes, effort estimates, and tips.
Breaking Changes
- distutils deprecated (use setuptools)
- Structural pattern matching added (match/case)
- Stricter zip() with optional strict=True parameter
- Parenthesized context managers
Migration Notes
Pattern matching is new syntax but doesn't break existing code. distutils deprecation is the main concern for build scripts. Most apps upgrade without changes.
Breaking Changes
- Exception groups and except* syntax added
- Dead batteries PEP 594 begins deprecations
- asyncio.get_event_loop() behavior change
- Fine-grained error locations in tracebacks
Migration Notes
The asyncio change is the most impactful — code relying on implicit event loop creation needs updating. Dead batteries deprecation is a long runway. Exception groups are additive.
Breaking Changes
- distutils fully removed (must use setuptools)
- Deprecated wstr in C API removed
- Type parameter syntax (PEP 695)
- Per-interpreter GIL (subinterpreters)
- f-string parsing changes
Migration Notes
distutils removal is the biggest breaking change — any setup.py using distutils must migrate. C extensions using deprecated Unicode APIs need updates. Type parameter syntax is opt-in. The GIL changes are mostly internal.
Breaking Changes
- Experimental free-threaded mode (no GIL)
- Experimental JIT compiler
- Deprecations from PEP 594 removed (26 modules)
- New REPL with multiline editing
- Improved error messages
Migration Notes
The PEP 594 removals (aifc, audioop, cgi, cgitb, chunk, crypt, imghdr, mailcap, msilib, nis, nntplib, ossaudiodev, pipes, sndhdr, spwd, sunau, telnetlib, uu, xdrlib) are the main concern. If you use any of these, find replacements first. Free-threaded and JIT are opt-in experimental.
Version Risk Assessment
Evaluate risk factors before choosing a version for production.
| Version | EOL Risk | CVE Risk | Ecosystem | Cloud Support | Overall | Recommended Action |
|---|---|---|---|---|---|---|
| Python 3.8 | Critical | Critical | Dropping | Dropping | Critical | Upgrade immediately — EOL Oct 2024 |
| Python 3.9 | Critical | High | Degrading | Dropping | Critical | Upgrade immediately — EOL Oct 2025 |
| Python 3.10 | High | Medium | Active | Full | High | Plan upgrade — EOL Oct 2026 |
| Python 3.11 | Medium | Low | Active | Full | Medium | Security-only — upgrade within 12 months |
| Python 3.12 | Low | Low | Active | Full | Low | Recommended for production |
| Python 3.13 | None | Low | Active | Full | Low | Latest stable — adopt when ready |
Python releases get 2 years of active support + 3 years of security-only fixes (5 total). "Security-only" means no bug fixes, just CVE patches. Assessed February 2026.
Python Version Feature Comparison
Side-by-side feature differences across major versions.
| Feature | 3.10 | 3.11 | 3.12 | 3.13 | 3.14 |
|---|---|---|---|---|---|
| Pattern Matching | Stable | Stable | Stable | Stable | Stable |
| Exception Groups | No | Stable | Stable | Stable | Stable |
| Type Param Syntax | No | No | Stable | Stable | Stable |
| Free-threaded (no GIL) | No | No | No | Experimental | Experimental |
| JIT Compiler | No | No | No | Experimental | Experimental |
| Per-interpreter GIL | No | No | Stable | Stable | Stable |
| Perf Profiling (perf) | No | Experimental | Stable | Stable | Stable |
| TOML Parser (tomllib) | No | Stable | Stable | Stable | Stable |
| Improved Error Messages | Basic | Better | Better | Best | Best |
| Performance vs 3.10 | Baseline | +10-25% | +15-30% | +20-35% | +25-40% |
How to Upgrade Python
Step-by-Step Process
-
1
Check your current Python version:
python --version - 2 Audit your dependencies for target version compatibility
-
3
Update
pyproject.tomlorsetup.pywith new Python version - 4 Run your test suite against the new Python version
- 5 Fix any deprecation warnings and compatibility issues
- 6 Update CI/CD pipelines and Docker images
Common Gotchas
- Package version conflicts (some packages drop older Python support)
- Deprecated syntax becoming errors in newer versions
- Binary dependencies needing recompilation
- Docker base image updates affecting deployment
Pro Tip
Use tox or nox to test against multiple Python versions simultaneously during development.
Package Compatibility Quick Check
| Package | Python Version Support | Notes |
|---|---|---|
| Django | 3.10+ (5.0+), 3.8+ (4.2 LTS) | Django 5.0+ requires Python 3.10+. Django 4.2 LTS supports Python 3.8+ |
| Flask | 3.9+ | Flask 3.0+ requires Python 3.9 minimum |
| FastAPI | 3.8+ | Broad compatibility, but newer versions recommended |
| NumPy | 3.10+ (2.x) | NumPy 2.0 requires Python 3.10+. NumPy 1.x supports older Python |
| Pandas | 3.10+ (2.2) | Pandas 2.2+ requires Python 3.10 minimum |
| SQLAlchemy | 3.7+ | Wide compatibility range, but 3.8+ recommended |
| Requests | 3.8+ | Stable across Python versions |
Package versions change frequently. Check official documentation for the most current compatibility information.
Frequently Asked Questions
When does Python 3.10 reach end of life?
Which Python version should I use for new projects in 2026?
Is Python 3.9 still safe to use?
How long is each Python version supported?
What happens when Python reaches end of life?
Related Tools to Keep Your Stack Healthy
Dep EOL Scanner
Paste your requirements.txt to check for end-of-life dependencies.
Upgrade Planner
Get step-by-step upgrade path recommendations for your stack.
Stack Health Scorecard
Comprehensive health check for your entire technology stack.
EOL Calendar
Track end-of-life dates for all technologies, not just Python.
Official Sources
- python.org — Official Python release downloads and support timeline
- PEP 602 — Annual Release Cycle for Python
- endoflife.date — Community-maintained EOL tracking database
Data is refreshed daily from official sources. Health badges update automatically.