mypy-boto3-efs
Type annotations for boto3 EFS 1.43.23 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes, if you use boto3 EFS and want static type checking or IDE autocompletion. Install friction is negligible, maintenance is active, and the MIT license poses no restrictions. The package is a pure stub with no runtime side effects. Consider the lite variant (boto3-stubs-lite) if PyCharm performance becomes an issue.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; boto3 must be installed separately to use the client.
- Low friction: pure Python wheel with a single runtime dependency (typing-extensions).
- Actively maintained as of 2026-06-22 with 670 repository stars and a stable release cadence.
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 2026-06-04 (71 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 450,397 downloads/mo, #6,591 on PyPI
Alternatives
Verify before relying
# Install
python -m pip install mypy-boto3-efs
# Use in code
from boto3.session import Session
from mypy_boto3_efs import EFSClient
client: EFSClient = Session().client("efs")
# Type checking and IDE completion now work- Whether the package is suitable for production use beyond type checking (stubs-only nature may limit runtime functionality).
- Performance impact in PyCharm due to known Literal overload performance issues mentioned in the description.
What it is and what it does
mypy-boto3-efs is a type stub package that adds static type annotations for the boto3 EFS (Elastic File System) service. It is generated from boto3 1.43.23 and enables IDEs and type checkers to understand the shape and behavior of EFS client methods, paginators, and data structures without requiring explicit type annotations in your code.
The package works by providing type information that IDEs and tools like mypy and pyright use to offer code completion, catch type errors, and validate method calls. It supports multiple development environments—VSCode with Pylance, PyCharm, Emacs with lsp-pyright, Sublime Text, and command-line type checkers. Installation is straightforward and low-friction; the package depends only on typing-extensions and installs as a pure Python wheel.
Use it for
- Enable IDE autocompletion and type hints when writing boto3 EFS client code in VSCode or PyCharm.
- Run mypy or pyright type checking on boto3 EFS code to catch method signature and argument type errors before runtime.
- Provide explicit type annotations for EFS client, paginators, and data structures in team codebases using TYPE_CHECKING guards.
- Support linting and type validation in Emacs or Sublime Text with LSP-based Python language servers.
- Validate boto3 EFS API calls during CI/CD pipelines using mypy or pyright without runtime dependencies.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use boto3 EFS and want static type checking or IDE autocompletion.
Install friction is negligible, maintenance is active, and the MIT license poses no restrictions. The package is a pure stub with no runtime side effects. Consider the lite variant (boto3-stubs-lite) if PyCharm performance becomes an issue.
Install
mypy-boto3-efs on PyPI
Before you install
Low friction: pure Python wheel with a single runtime dependency (typing-extensions). Actively maintained as of 2026-06-22 with 670 repository stars and a stable release cadence.
Requires Python 3.9 or later; boto3 must be installed separately to use the client.
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-efs
# Use in code
from boto3.session import Session
from mypy_boto3_efs import EFSClient
client: EFSClient = Session().client("efs")
# Type checking and IDE completion now work
Verify before relying
- Whether the package is suitable for production use beyond type checking (stubs-only nature may limit runtime functionality).
- Performance impact in PyCharm due to known Literal overload performance issues mentioned in the description.
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 71 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 450,397 / month, #6,591 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_efs-1.43.23-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 efs”
- mypy-boto3-efsProvides type stubs and IDE autocompletion for the boto3 EFS service,…
- aws-cdk.aws-efsProvides CDK constructs to define Amazon EFS file systems, 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 mypy-boto3-ec2 · mypy-boto3-workdocs · mypy-boto3-appflow · boto3-stubs · mypy-boto3-evidently · mypy-boto3-sns · boto3-stubs-full · mypy-boto3-dataexchange · mypy-boto3-config · boto3-stubs-lite