---
id: mypy-boto3-datapipeline
version: "1.43.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# mypy-boto3-datapipeline — Type annotations for boto3 DataPipeline 1.43.0 service generated with mypy-boto3-builder 8.12.0

License: permissive · Maintenance: active · Downloads: 250.9K/mo

## What it is and what it does

This package is a type stub library for AWS boto3's DataPipeline service, generated automatically from boto3 1.43.0. It provides complete type annotations for DataPipeline client objects, paginators, and type definitions, allowing your IDE and type checkers like mypy and pyright to understand and validate your DataPipeline code without runtime overhead.

You install it alongside boto3 and it works transparently—no code changes needed. Once installed, your editor gains full autocomplete for DataPipeline API calls, and static type checkers catch errors before runtime. The package is designed as a stub-only library (no runtime code), so it adds minimal dependency weight and can be safely excluded from production deployments using TYPE_CHECKING guards if desired.

Use it for:

- Add IDE autocomplete and type checking to boto3 DataPipeline client code in VSCode, PyCharm, or other LSP-aware editors.
- Catch DataPipeline API usage errors at development time with mypy or pyright before deployment.
- Generate explicit type annotations for DataPipelineClient, paginators, and type definitions in your codebase.
- Enable type-safe refactoring of DataPipeline integration code across large projects.
- Use in CI/CD pipelines to enforce type correctness on all DataPipeline-related code.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides type annotations for boto3's DataPipeline service, enabling type checking and IDE autocomplete for DataPipeline client code.

Yes, if you use boto3's DataPipeline service and want IDE support and type checking. Install friction is minimal, maintenance is active, and the MIT license has no restrictions. The only caveat: PyCharm users may experience performance issues with full stubs; the documentation recommends boto3-stubs-lite as an alternative if that occurs.

## Install

pip install mypy-boto3-datapipeline
uv add mypy-boto3-datapipeline
poetry add mypy-boto3-datapipeline

## Installing mypy-boto3-datapipeline

Before you install: Low install friction with a single lightweight runtime dependency (typing-extensions). Actively maintained with recent releases and no known vulnerabilities.

License in practice: MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.

Quickstart:

pip install mypy-boto3-datapipeline

from boto3.session import Session
from mypy_boto3_datapipeline import DataPipelineClient

client: DataPipelineClient = Session().client("datapipeline")
# Type checking and IDE autocomplete now work on client usage

Requires Python 3.9 or later; boto3 must be installed separately in your environment.

Verify before relying:

- Whether performance impact on PyCharm is acceptable for your codebase size (documentation notes potential slowness with Literal overloads).
- Whether boto3-stubs-lite is a better fit if you experience IDE performance issues with the full stub set.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 250.9K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

boto3 type stubs, datapipeline type annotations, mypy boto3 stubs, aws datapipeline typing, boto3 autocomplete, type checking aws sdk, datapipeline mypy support, type-stubs, aws-sdk, mypy

[View on SkillFed](https://skillfed.io/packages/mypy-boto3-datapipeline) · [View on PyPI](https://pypi.org/project/mypy-boto3-datapipeline/)