boto3-type-annotations
Type annotations for boto3. Adds code completion in IDEs such as PyCharm.
Decision gist · record as of 2026-08-14
No, unless you are locked to a pre-2019 boto3 version. The project is abandoned and will not track new AWS services or API changes. Modern alternatives like boto3-stubs (via typeshed or boto3-stubs packages) are actively maintained and provide current type coverage. If you are already using an old boto3 version and cannot upgrade, this package may provide value, but it is not a safe choice for new projects.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- The package is abandoned and will not include type annotations for AWS services added or modified after May 2019; newer boto3 versions may have incompatible APIs.
- Installation is frictionless (pure Python wheel, no runtime dependencies), but the project is abandoned as of 2019.
- The package has not been updated in over six years, which means it will not track new AWS services or API changes introduced since its last release.
License · maintenance · safety
MIT License (permissive) — MIT License permits unrestricted use, modification, and distribution with minimal restrictions, making it safe to adopt from a licensing standpoint.
last release 2019-05-02 (2661 days) · last repo commit 2019-11-28 · 112 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,342,860 downloads/mo, #3,123 on PyPI
Alternatives
Verify before relying
pip install boto3_type_annotations
import boto3
from boto3_type_annotations.s3 import Client
client: Client = boto3.client('s3')
client.create_bucket(Bucket='my-bucket')- Compatibility with current boto3 and botocore versions—the package has not been updated since 2019.
- Whether type annotations remain accurate for services that existed in 2019 but have since evolved.
- Support for modern Python versions beyond what was current in 2019.
What it is and what it does
boto3_type_annotations is a code-generation package that creates type-annotated Python classes mirroring boto3's runtime-generated AWS service interfaces. Because boto3 constructs its clients, resources, paginators, and waiters dynamically at runtime using string identifiers, IDEs cannot provide code completion or type inference without explicit type declarations. This package solves that by parsing boto3's docstrings to extract method signatures and return types, then generating stand-in classes that can be used for type annotations in your own code.
You install it alongside boto3 and import its service-specific modules (e.g., `boto3_type_annotations.s3`) to declare the types of boto3 objects in your code. The package is available in two forms: a lean 2.2 MB version without docstrings, and a 41 MB version with full documentation for development use. However, the project has been abandoned since May 2019 and receives no updates, so it will not cover AWS services or API changes introduced after that date.
Use it for
- Enable IDE autocomplete and type checking when working with boto3 S3, EC2, or other AWS services in development.
- Add type hints to function signatures that accept boto3 clients or resources without runtime overhead.
- Reduce IDE lag and improve developer experience in large codebases that make heavy use of boto3.
- Support static type checkers like mypy or pyright in validating boto3 API calls before runtime.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No, unless you are locked to a pre-2019 boto3 version.
The project is abandoned and will not track new AWS services or API changes. Modern alternatives like boto3-stubs (via typeshed or boto3-stubs packages) are actively maintained and provide current type coverage. If you are already using an old boto3 version and cannot upgrade, this package may provide value, but it is not a safe choice for new projects.
Install
boto3-type-annotations on PyPI
Before you install
Installation is frictionless (pure Python wheel, no runtime dependencies), but the project is abandoned as of 2019. The package has not been updated in over six years, which means it will not track new AWS services or API changes introduced since its last release.
The package is abandoned and will not include type annotations for AWS services added or modified after May 2019; newer boto3 versions may have incompatible APIs.
License in practice
MIT License permits unrestricted use, modification, and distribution with minimal restrictions, making it safe to adopt from a licensing standpoint.
Quickstart
pip install boto3_type_annotations
import boto3
from boto3_type_annotations.s3 import Client
client: Client = boto3.client('s3')
client.create_bucket(Bucket='my-bucket')Verify before relying
- Compatibility with current boto3 and botocore versions—the package has not been updated since 2019.
- Whether type annotations remain accurate for services that existed in 2019 but have since evolved.
- Support for modern Python versions beyond what was current in 2019.
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 | 2,342,860 / month, #3,123 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-0.3.1-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
An agent finds packages by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language. Give your agent the search over MCP.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also boto3-type-annotations-with-docs · types-boto3-s3 · mypy-boto3-s3 · aws-error-utils · boto · types-boto3 · types-botocore · mypy-boto3 · types-boto3-dynamodb · types-boto3-ecs