type-enforced
A pure python type enforcer for python type annotations
Decision gist · record as of 2026-08-14
Yes, if you need runtime type validation for development or testing. The package is lightweight, actively maintained, has no dependencies, and works with modern Python. Best suited for catching type errors during development or in non-performance-critical code paths; consider static type checkers like mypy for production-grade type safety without runtime overhead.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or higher; earlier Python versions require older package versions with reduced feature support.
- Low friction installation with no runtime dependencies.
- Active maintenance with recent release (71 days ago) and steady repository activity.
License · maintenance · safety
permissive license (permissive) — MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects.
last release 2026-06-04 (71 days) · last repo commit 2026-07-02 · 62 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 295,015 downloads/mo, #7,933 on PyPI
Alternatives
Verify before relying
pip install type_enforced
import type_enforced
@type_enforced.Enforcer(enabled=True, strict=True)
def my_fn(a: int, b: int | str = 2) -> None:
pass
my_fn(1, "test") # passes
my_fn("invalid", 2) # raises TypeError- Performance overhead compared to static type checkers or other runtime enforcers at scale
- Whether sampling via iterable_sample_pct is sufficient for production type safety guarantees
- Support for forward references and string annotations in all contexts
What it is and what it does
Type Enforced is a pure-Python runtime type checker that validates function and method signatures against their type annotations at execution time. It works as a decorator that can be applied to functions, methods, and classes, checking both input arguments and return values against their declared types. The package supports standard Python types, union types (both `int | str` and `typing.Union` syntax), nested generics like `dict[str, list[int]]`, and many typing module constructs including `Optional`, `Literal`, and `Any`.
The decorator offers configurable behavior: strict mode raises exceptions on type mismatches, non-strict mode logs warnings instead, and clean traceback mode hides internal stack frames for clarity. For large iterables, you can sample a percentage of items rather than checking all of them to reduce overhead. It requires Python 3.11 or higher for full feature support, though older versions can use earlier package releases with limited capabilities.
Use it for
- Add runtime type safety to Python functions during development and debugging without modifying core logic
- Validate API endpoint inputs and outputs in web frameworks to catch type errors before they propagate
- Enforce type contracts in dataclass-based data pipelines to catch schema violations early
- Gradually migrate untyped Python codebases by decorating functions incrementally with runtime checks
- Disable type checking in production (via `enabled=False`) while keeping it active in test environments
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need runtime type validation for development or testing.
The package is lightweight, actively maintained, has no dependencies, and works with modern Python. Best suited for catching type errors during development or in non-performance-critical code paths; consider static type checkers like mypy for production-grade type safety without runtime overhead.
Install
type-enforced on PyPI
Before you install
Low friction installation with no runtime dependencies. Active maintenance with recent release (71 days ago) and steady repository activity.
Requires Python 3.11 or higher; earlier Python versions require older package versions with reduced feature support.
License in practice
MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects.
Quickstart
pip install type_enforced
import type_enforced
@type_enforced.Enforcer(enabled=True, strict=True)
def my_fn(a: int, b: int | str = 2) -> None:
pass
my_fn(1, "test") # passes
my_fn("invalid", 2) # raises TypeErrorVerify before relying
- Performance overhead compared to static type checkers or other runtime enforcers at scale
- Whether sampling via iterable_sample_pct is sufficient for production type safety guarantees
- Support for forward references and string annotations in all contexts
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 71 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 295,015 / month, #7,933 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: type_enforced-2.6.0-py3-none-any.whl
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See also typing-utils · typing-inspect · typing-json · tach · annotated-types · typepy · mypy-extensions · beartype · eval-type-backport · typing-validation