<a id="mypy-boto3-s3"></a>

mypy-boto3-s3

Type annotations for boto3 S3 1.42.37 compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other tools.

Generated with mypy-boto3-builder 8.12.0.

More information can be found on boto3-stubs page and in mypy-boto3-s3 docs.

See how it helps you find and fix potential bugs:

• mypy-boto3-s3
  • How to install
    • Generate locally (recommended)
    • VSCode extension
    • From PyPI with pip
    • From conda-forge
  • How to uninstall
  • Usage
    • VSCode
    • PyCharm
    • Emacs
    • Sublime Text
    • Other IDEs
    • mypy
    • pyright
    • Pylint compatibility
  • Explicit type annotations
    • Client annotations
    • Paginators annotations
    • Waiters annotations
    • Service Resource annotations
    • Other resources annotations
    • Collections annotations
    • Literals
    • Type definitions
  • How it works
  • What's new
    • Implemented features
    • Latest changes
  • Versioning
  • Thank you
  • Documentation
  • Support and contributing

<a id="how-to-install"></a>

How to install

<a id="generate-locally-(recommended)"></a>

Generate locally (recommended)

You can generate type annotations for boto3 package locally with mypy-boto3-builder. Use uv for build isolation.

1. Run mypy-boto3-builder in your package root directory: uvx --with 'boto3==1.42.37' mypy-boto3-builder
2. Select boto3-stubs AWS SDK.
3. Add S3 service.
4. Use provided commands to install generated packages.

<a id="vscode-extension"></a>

VSCode extension

Add AWS Boto3 extension to your VSCode and run AWS boto3: Quick Start command.

Click Modify and select boto3 common and S3.

<a id="from-pypi-with-pip"></a>

From PyPI with pip

Install boto3-stubs for S3 service.

# install with boto3 type annotations
python -m pip install 'boto3-stubs[s3]'

# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'boto3-stubs-lite[s3]'

# standalone installation
python -m pip install mypy-boto3-s3

<a id="from-conda-forge"></a>

From conda-forge

Add conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, mypy-boto3-s3 can be installed with:

conda install mypy-boto3-s3

List all available versions of mypy-boto3-s3 available on your platform with:

conda search mypy-boto3-s3 --channel conda-forge

<a id="how-to-uninstall"></a>

How to uninstall

python -m pip uninstall -y mypy-boto3-s3

<a id="usage"></a>

Usage

<a id="vscode"></a>

VSCode

• Install Python extension
• Install Pylance extension
• Set Pylance as your Python Language Server
• Install boto3-stubs[s3] in your environment:

python -m pip install 'boto3-stubs[s3]'

Both type checking and code completion should now work. No explicit type annotations required, write your boto3 code as usual.

<a id="pycharm"></a>

PyCharm

⚠️ Due to slow PyCharm performance on Literal overloads (issue PY-40997), it is recommended to use boto3-stubs-lite until the issue is resolved.

⚠️ If you experience slow performance and high CPU usage, try to disable PyCharm type checker and use mypy or pyright instead.

⚠️ To continue using PyCharm type checker, you can try to replace boto3-stubs with boto3-stubs-lite:

pip uninstall boto3-stubs
pip install boto3-stubs-lite

Install boto3-stubs[s3] in your environment:

python -m pip install 'boto3-stubs[s3]'

Both type checking and code completion should now work.

<a id="emacs"></a>

Emacs

• Install boto3-stubs with services you use in your environment:

python -m pip install 'boto3-stubs[s3]'

• Install use-package, lsp, company and flycheck packages
• Install lsp-pyright package

(use-package lsp-pyright
  :ensure t
  :hook (python-mode . (lambda ()
                          (require 'lsp-pyright)
                          (lsp)))  ; or lsp-deferred
  :init (when (executable-find "python3")
          (setq lsp-pyright-python-executable-cmd "python3"))
  )

• Make sure emacs uses the environment where you have installed boto3-stubs

Type checking should now work. No explicit type annotations required, write your boto3 code as usual.

<a id="sublime-text"></a>

Sublime Text

• Install boto3-stubs[s3] with services you use in your environment:

python -m pip install 'boto3-stubs[s3]'

• Install LSP-pyright package

Type checking should now work. No explicit type annotations required, write your boto3 code as usual.

<a id="other-ides"></a>

Other IDEs

Not tested, but as long as your IDE supports mypy or pyright, everything should work.

<a id="mypy"></a>

mypy

• Install mypy: python -m pip install mypy
• Install boto3-stubs[s3] in your environment:

python -m pip install 'boto3-stubs[s3]'

Type checking should now work. No explicit type annotations required, write your boto3 code as usual.

<a id="pyright"></a>

pyright

• Install pyright: npm i -g pyright
• Install boto3-stubs[s3] in your environment:

python -m pip install 'boto3-stubs[s3]'

Optionally, you can install boto3-stubs to typings directory.

Type checking should now work. No explicit type annotations required, write your boto3 code as usual.

<a id="pylint-compatibility"></a>

Pylint compatibility

It is totally safe to use TYPE_CHECKING flag in order to avoid mypy-boto3-s3 dependency in production. However, there is an issue in pylint that it complains about undefined variables. To fix it, set all types to object in non-TYPE_CHECKING mode.

from typing import TYPE_CHECKING

if TYPE_CHECKING:
    from mypy_boto3_ec2 import EC2Client, EC2ServiceResource
    from mypy_boto3_ec2.waiters import BundleTaskCompleteWaiter
    from mypy_boto3_ec2.paginators import DescribeVolumesPaginator
else:
    EC2Client = object
    EC2ServiceResource = object
    BundleTaskCompleteWaiter = object
    DescribeVolumesPaginator = object

...

<a id="explicit-type-annotations"></a>

Explicit type annotations

<a id="client-annotations"></a>

Client annotations

S3Client provides annotations for boto3.client("s3").

from boto3.session import Session

from mypy_boto3_s3 import S3Client

client: S3Client = Session().client("s3")

# now client usage is checked by mypy and IDE should provide code completion

<a id="paginators-annotations"></a>

Paginators annotations

mypy_boto3_s3.paginator module contains type annotations for all paginators.

from boto3.session import Session

from mypy_boto3_s3 import S3Client
from mypy_boto3_s3.paginator import (
    ListBucketsPaginator,
    ListDirectoryBucketsPaginator,
    ListMultipartUploadsPaginator,
    ListObjectVersionsPaginator,
    ListObjectsPaginator,
    ListObjectsV2Paginator,
    ListPartsPaginator,
)

client: S3Client = Session().client("s3")

# Explicit type annotations are optional here
# Types should be correctly discovered by mypy and IDEs
list_buckets_paginator: ListBucketsPaginator = client.get_paginator("list_buckets")
list_directory_buckets_paginator: ListDirectoryBucketsPaginator = client.get_paginator(
    "list_directory_buckets"
)
list_m