mypy-boto3-dax
Type annotations for boto3 DAX 1.43.0 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes. If you use boto3 to interact with DynamoDB Accelerator (DAX), installing this package is straightforward and adds immediate value through IDE support and static type checking. The low install friction, active maintenance, MIT license, and zero known vulnerabilities make it a safe choice. Install it as a development dependency to catch bugs early; it is not required at runtime.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires boto3 to be installed separately; Python 3.9 or later.
- Low friction: pure Python wheel with a single runtime dependency (typing-extensions).
- Actively maintained with recent release; repository shows active development and community engagement.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects with minimal obligations.
last release 2026-04-29 (107 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 354,152 downloads/mo, #7,297 on PyPI
Alternatives
Verify before relying
# Install
python -m pip install mypy-boto3-dax
# Use
from boto3.session import Session
from mypy_boto3_dax import DAXClient
client: DAXClient = Session().client("dax")- Whether the package works correctly with all listed IDE integrations (VSCode, PyCharm, Emacs, Sublime Text) in practice.
- Performance impact of using full boto3-stubs versus the lite variant on typical projects.
What it is and what it does
This package is a type stub library that adds complete type annotations to boto3's DAX service. It is generated automatically from boto3 1.43.0 using mypy-boto3-builder 8.12.0 and works with multiple static type checkers and IDEs. When installed, it enables your editor and type checker to understand DAX client methods, parameters, and return types, providing code completion and catching type errors before runtime.
The package is designed as a development-time dependency: you install it in your environment to get IDE support and type checking, but it is not needed at runtime. It supports mypy, pyright, VSCode with Pylance, PyCharm, Emacs, Sublime Text, and other tools that understand Python type hints. The library includes annotations for DAX clients, paginators, and type definitions, and can be used alongside boto3-stubs for other AWS services.
Use it for
- Enable IDE autocomplete and type hints when writing boto3 DAX code in VSCode, PyCharm, or other supported editors.
- Catch type errors in DAX client calls using mypy or pyright before deploying code.
- Provide explicit type annotations for DAXClient, paginators, and waiters in production code.
- Integrate type checking into CI/CD pipelines for boto3 DAX applications.
- Improve code maintainability by documenting expected parameter and return types for DAX operations.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
If you use boto3 to interact with DynamoDB Accelerator (DAX), installing this package is straightforward and adds immediate value through IDE support and static type checking. The low install friction, active maintenance, MIT license, and zero known vulnerabilities make it a safe choice. Install it as a development dependency to catch bugs early; it is not required at runtime.
Install
mypy-boto3-dax on PyPI
Before you install
Low friction: pure Python wheel with a single runtime dependency (typing-extensions). Actively maintained with recent release; repository shows active development and community engagement.
Requires boto3 to be installed separately; Python 3.9 or later.
License in practice
MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects with minimal obligations.
Quickstart
# Install
python -m pip install mypy-boto3-dax
# Use
from boto3.session import Session
from mypy_boto3_dax import DAXClient
client: DAXClient = Session().client("dax")Verify before relying
- Whether the package works correctly with all listed IDE integrations (VSCode, PyCharm, Emacs, Sublime Text) in practice.
- Performance impact of using full boto3-stubs versus the lite variant on typical projects.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagetyping-extensions |
| Maintenance | Actively maintained 107 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 354,152 / month, #7,297 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonTyping :: Stubs Only |
Evidence: mypy_boto3_dax-1.43.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “boto3 type stubs dax”
- mypy-boto3-daxProvides type annotations for boto3's DAX (DynamoDB Accelerator)…
- amazon-dax-clientA Python client library that provides nearly source-compatible access…
- types-boto3-stepfunctionsProvides type stubs and IDE-aware type annotations for boto3's Step…
Give your agent the search over MCP, or paste the wish link into any chat.
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 amazon-dax-client · mypy-boto3-ec2 · mypy-boto3-dataexchange · mypy-boto3-ds-data · mypy-boto3-evidently · mypy-boto3-sagemaker · mypy-boto3-athena · mypy-boto3-drs · mypy-boto3-stepfunctions · mypy-boto3-codepipeline