mypy-boto3-datapipeline
Type annotations for boto3 DataPipeline 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'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.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 in your environment.
- Low install friction with a single lightweight runtime dependency (typing-extensions).
- Actively maintained with recent releases and no known vulnerabilities.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
last release 2026-04-29 (107 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 250,938 downloads/mo, #8,610 on PyPI
Alternatives
Verify before relying
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- 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.
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 on this page. Verify before relying on it.
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
mypy-boto3-datapipeline on PyPI
Before you install
Low install friction with a single lightweight runtime dependency (typing-extensions). Actively maintained with recent releases and no known vulnerabilities.
Requires Python 3.9 or later; boto3 must be installed separately in your environment.
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 usageVerify 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 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 | 250,938 / month, #8,610 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_datapipeline-1.43.0-py3-none-any.whl
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See also mypy-boto3-ec2 · mypy-boto3-connect · mypy-boto3-dataexchange · mypy-boto3-codeconnections · mypy-boto3-sagemaker · mypy-boto3-iot · boto3-stubs-full · mypy-boto3-rds · mypy-boto3-evidently · mypy-boto3-workmailmessageflow