boto3-type-annotations-with-docs
Type annotations for boto3. Adds code completion in IDEs such as PyCharm.
Decision gist · record as of 2026-08-14
Yes, if you actively develop with boto3 and want IDE code completion—the type annotations work and have no runtime overhead. However, be aware the project is abandoned (last update 2019) and will not track boto3 API changes. For production use, prefer the lightweight variant (boto3_type_annotations) unless you need docstrings in development. Monitor boto3 releases; if the API diverges significantly from 2019, these annotations may become inaccurate.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires boto3 to be installed separately; type annotations are stand-ins only and do not execute boto3 calls themselves.
- Low install friction with no runtime dependencies.
- However, the project is abandoned—last commit was 2019-11-28 and no releases since 2019-05-02.
License · maintenance · safety
MIT License (permissive) — MIT License (permissive) allows use, modification, and distribution with minimal restrictions. No licensing barrier to adoption.
last release 2019-05-02 (2661 days) · last repo commit 2019-11-28 · 112 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 119,909 downloads/mo, #12,050 on PyPI
Alternatives
Verify before relying
pip install boto3_type_annotations_with_docs
import boto3
from boto3_type_annotations.s3 import Client
client: Client = boto3.client('s3')
client.create_bucket(Bucket='my-bucket')- Whether type annotations remain accurate for current boto3 versions given the project's abandonment since 2019.
- Compatibility with modern Python versions and type checkers (mypy, pyright) not explicitly stated in the fact sheet.
- Whether the 41 MB package size with docstrings is still acceptable relative to current boto3 and botocore sizes.
What it is and what it does
This package solves a fundamental limitation of boto3: because AWS services are instantiated at runtime using factory methods with string arguments, IDEs cannot infer their types or provide code completion. boto3_type_annotations works around this by defining static stand-in classes for every boto3 service—clients, resources, paginators, and waiters—with full type annotations extracted from boto3's own docstrings. You import these classes and use them to annotate boto3 objects in your code, giving your IDE the type information it needs to offer autocomplete and catch type errors.
The package comes in two variants: a 2.2 MB version without docstrings (boto3_type_annotations) and a 41 MB version with full docstrings (boto3_type_annotations_with_docs, the subject here). The trade-off is size versus development convenience—docstrings in your IDE during development versus a lighter production dependency. The project is abandoned as of 2019, meaning it will not track boto3 API changes or receive updates.
Use it for
- Enable IDE autocomplete and type checking when writing boto3 code in PyCharm, VS Code, or other IDEs with type support.
- Annotate boto3 client parameters in function signatures to catch argument errors before runtime.
- Develop boto3-heavy applications where IDE support significantly reduces lookup time and typos.
- Use in development environments where docstring access in the IDE is valuable, then switch to the lightweight variant for production.
- Type-check boto3 code with mypy or similar static type checkers to catch service method misuse.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you actively develop with boto3 and want IDE code completion—the type annotations work and have no runtime overhead.
However, be aware the project is abandoned (last update 2019) and will not track boto3 API changes. For production use, prefer the lightweight variant (boto3_type_annotations) unless you need docstrings in development. Monitor boto3 releases; if the API diverges significantly from 2019, these annotations may become inaccurate.
Install
boto3-type-annotations-with-docs on PyPI
Before you install
Low install friction with no runtime dependencies. However, the project is abandoned—last commit was 2019-11-28 and no releases since 2019-05-02. It will not track boto3 API changes or receive maintenance updates.
Requires boto3 to be installed separately; type annotations are stand-ins only and do not execute boto3 calls themselves.
License in practice
MIT License (permissive) allows use, modification, and distribution with minimal restrictions. No licensing barrier to adoption.
Quickstart
pip install boto3_type_annotations_with_docs
import boto3
from boto3_type_annotations.s3 import Client
client: Client = boto3.client('s3')
client.create_bucket(Bucket='my-bucket')Verify before relying
- Whether type annotations remain accurate for current boto3 versions given the project's abandonment since 2019.
- Compatibility with modern Python versions and type checkers (mypy, pyright) not explicitly stated in the fact sheet.
- Whether the 41 MB package size with docstrings is still acceptable relative to current boto3 and botocore sizes.
Package facts
| License | MIT License permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 2,661 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 119,909 / month, #12,050 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: boto3_type_annotations_with_docs-0.3.1-py3-none-any.whl
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See also boto3-type-annotations · types-boto3-s3 · aws-lambda-typing · mypy-boto3-s3 · types-botocore · mypy-boto3 · types-boto3 · types-boto3-dynamodb · types-boto3-ecs · types-boto3-cloudformation