annotated-types
PyPIv0.8.0Reusable constraint types to use with typing.Annotated
Not recommended for new projects
No — annotated-types should not be adopted for new projects. No license declared — you have no explicit right to use this code.
- ?Adoption: grade ?, Not reported by this registry.
No download data reported for this package yet.
- AMaintenance: grade A, Excellent.
Last published 48 days ago.
- AWeight: grade A, Excellent.
Zero runtime dependencies, about 13 KB installed.
- BSupply chain: grade B, Good.
This package lists no maintainer.
- FLicense: grade F, Failing.
No license declared — you have no explicit right to use this code.
Grades are computed deterministically from registry metadata collected by PackageGraph — downloads, dependents, publish dates, the resolved dependency tree, maintainer count, and declared licenses. No third-party scores are used.
Install cost
What you actually take on by adding annotated-types to a project.
Runtime packages this one declares itself.
Distinct packages in the full runtime tree, deduplicated the way a package manager would.
Unpacked size of this package plus its entire runtime tree.
Longest resolved dependency chain below this package.
Compatibility
- Python
- python >=3.10
Quick start
A usage example from the annotated-types README.
from typing import Annotated
from annotated_types import Gt, Len, Predicate
class MyClass:
age: Annotated[int, Gt(18)] # Valid: 19, 20, ...
# Invalid: 17, 18, "19", 19.0, ...
factors: list[Annotated[int, Predicate(is_prime)]] # Valid: 2, 3, 5, 7, 11, ...
# Invalid: 4, 8, -2, 5.0, "prime", ...
my_list: Annotated[list[int], Len(0, 10)] # Valid: [], [10, 20, 30, 40, 50]
# Invalid: (1, 2), ["abc"], [0] * 20Used by
Popular packages that depend on annotated-types.
Relationship graph
Dependencies (left) and dependents (right) of annotated-types.
Frequently installed together
Release history
1 release in the last two years, typically about 128 days apart.
| Version | Published | Size | License |
|---|---|---|---|
| 0.8.0latest | 1 month ago | 13 KB | — |
| 0.7.0 | 2 years ago | 13 KB | — |
| 0.6.0 | 2 years ago | 12 KB | — |
| 0.5.0 | 3 years ago | 11 KB | — |
| 0.4.0 | 3 years ago | 11 KB | — |
| 0.3.1 | 4 years ago | 10 KB | — |
| 0.3.0 | 4 years ago | 10 KB | — |
| 0.2.0 | 4 years ago | 9.1 KB | — |
| 0.1.0 | 4 years ago | 1.1 KB | — |
Overview
annotated-types is an PyPI package that reusable constraint types to use with typing.Annotated. It has 1 known dependents in the graph. The latest version is 0.8.0.
Who should use it
Teams working in the PyPI ecosystem who need reusable constraint types to use with typing.Annotated and value a focused solution.
When not to use it
Consider an alternative if you need to or if a more actively-maintained option better fits your PyPI stack.
Pros
- Zero runtime dependencies — minimal footprint.
Cons
- No license detected — review usage terms before adopting.
Auto-generated from collected registry metadata. No external claims are inferred.
Frequently asked questions
Should I use annotated-types?
No — annotated-types should not be adopted for new projects. No license declared — you have no explicit right to use this code.
How do I install annotated-types?
Run `pip install annotated-types` to add annotated-types to your PyPI project.
What license is annotated-types released under?
No license was detected in annotated-types's metadata; review the repository before use.
How popular is annotated-types?
PyPI does not publish download counts. Within PackageGraph's crawl, 1 known packages depend on annotated-types.
Is annotated-types still maintained?
The most recent release of annotated-types (v0.8.0) was published 1 month ago.