mypy-boto3-rds-data
Type annotations for boto3 RDSDataService 1.43.37 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes. This is a lightweight, actively maintained stub package with no security vulnerabilities and permissive licensing. Install it if you use boto3's RDSDataService and want IDE support or static type checking—it adds negligible overhead and integrates seamlessly with standard Python tooling.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires boto3 to be installed separately; type checking requires a compatible tool (mypy, pyright, or IDE with type support).
- Low install friction with a single lightweight runtime dependency (typing-extensions).
- Actively maintained with recent releases; the package is a pure stub distribution with no compiled dependencies.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal restrictions, making it safe to use in both open-source and proprietary projects.
last release 2026-06-29 (46 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 333,230 downloads/mo, #7,499 on PyPI
Alternatives
Verify before relying
# Install with pip
python -m pip install 'boto3-stubs[rds-data]'
# Use in code
from boto3.session import Session
from mypy_boto3_rds_data import RDSDataServiceClient
client: RDSDataServiceClient = Session().client("rds-data")
# IDE now provides type checking and autocomplete- Performance impact in PyCharm compared to boto3-stubs-lite variant mentioned in docs.
- Whether all RDSDataService operations are fully annotated in version 1.43.37.
What it is and what it does
This package provides complete type stub annotations for boto3's RDSDataService client, generated from the boto3 1.43.37 release. It enables static type checking and IDE autocomplete when working with AWS RDS Data API calls, allowing developers to catch type errors before runtime and get intelligent code suggestions in editors like VSCode, PyCharm, and Emacs.
The stubs work with mypy, pyright, and other type checkers, and can be installed either as part of the full boto3-stubs package or standalone. It includes type definitions for client methods, response structures, and service literals, supporting both explicit type annotations and implicit type inference in modern IDEs.
Use it for
- Enable IDE autocomplete and type hints when calling RDSDataService methods in VSCode or PyCharm.
- Catch type errors in boto3 RDS Data API calls using mypy or pyright in CI/CD pipelines.
- Define typed function signatures that accept RDSDataServiceClient or response objects.
- Use service literals for type-safe parameter validation in RDS Data queries.
- Reduce debugging time by catching incorrect API usage during development rather than at runtime.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a lightweight, actively maintained stub package with no security vulnerabilities and permissive licensing. Install it if you use boto3's RDSDataService and want IDE support or static type checking—it adds negligible overhead and integrates seamlessly with standard Python tooling.
Install
mypy-boto3-rds-data on PyPI
Before you install
Low install friction with a single lightweight runtime dependency (typing-extensions). Actively maintained with recent releases; the package is a pure stub distribution with no compiled dependencies.
Requires boto3 to be installed separately; type checking requires a compatible tool (mypy, pyright, or IDE with type support).
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal restrictions, making it safe to use in both open-source and proprietary projects.
Quickstart
# Install with pip
python -m pip install 'boto3-stubs[rds-data]'
# Use in code
from boto3.session import Session
from mypy_boto3_rds_data import RDSDataServiceClient
client: RDSDataServiceClient = Session().client("rds-data")
# IDE now provides type checking and autocompleteVerify before relying
- Performance impact in PyCharm compared to boto3-stubs-lite variant mentioned in docs.
- Whether all RDSDataService operations are fully annotated in version 1.43.37.
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 46 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 333,230 / month, #7,499 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_rds_data-1.43.37-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 rds-data”
- mypy-boto3-rds-dataProvides type annotations and IDE autocomplete support for boto3's…
- types-boto3-stepfunctionsProvides type stubs and IDE-aware type annotations for boto3's Step…
- mypy-boto3-connectProvides type annotations and IDE autocomplete support for the boto3…
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-rds · mypy-boto3-ec2 · mypy-boto3-detective · mypy-boto3-appconfigdata · mypy-boto3-ebs · boto3-stubs-lite · mypy-boto3-connect · mypy-boto3-neptunedata · mypy-boto3-dataexchange · mypy-boto3-ds-data