mypy-boto3-dsql
Type annotations for boto3 AuroraDSQL 1.43.70 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes. The package has low install friction, active maintenance (released 2 days ago), no known vulnerabilities, and a permissive MIT license. Install it if you use boto3 with AuroraDSQL and want static type checking and IDE support. If you experience performance issues in PyCharm, the documentation suggests using the lite variant or a different type checker.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 install with a single lightweight runtime dependency (typing-extensions).
- The package is actively maintained, released 2 days ago, and supports current Python versions (3.9–3.14).
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 2026-08-12 (2 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 241,370 downloads/mo, #8,880 on PyPI
Alternatives
Verify before relying
pip install mypy-boto3-dsql
from boto3.session import Session
from mypy_boto3_dsql import AuroraDSQLClient
client: AuroraDSQLClient = Session().client("dsql")
# Type checking and IDE autocomplete now available- Performance impact in PyCharm with Literal overloads (documentation mentions issue PY-40997 but does not quantify the effect).
- Whether the package works correctly with all IDEs listed (VSCode, PyCharm, Emacs, Sublime Text) or only those with explicit LSP/type-checker support.
What it is and what it does
mypy-boto3-dsql is a type-stub package that adds static type annotations for boto3's AuroraDSQL service. It is generated from boto3 1.43.70 using mypy-boto3-builder 8.12.0 and works with IDEs, type checkers (mypy, pyright), and linters to provide code completion and catch type errors at development time rather than runtime.
The package is designed to be installed alongside boto3 and requires only typing-extensions as a runtime dependency. It supports explicit type annotations for clients, paginators, and waiters, and can be used in a TYPE_CHECKING block to avoid adding a production dependency. Documentation notes that PyCharm may experience performance issues with the full stubs and recommends the lite variant or alternative type checkers in such cases.
Use it for
- Enable IDE autocomplete and type hints when writing boto3 AuroraDSQL code in VSCode, PyCharm, or Emacs.
- Catch type errors in boto3 AuroraDSQL calls during development using mypy or pyright before deployment.
- Provide explicit type annotations for paginator and waiter objects returned by AuroraDSQL clients.
- Use in a TYPE_CHECKING block to get development-time type safety without adding a runtime dependency.
- Improve code maintainability by documenting expected argument and return types for AuroraDSQL API calls.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package has low install friction, active maintenance (released 2 days ago), no known vulnerabilities, and a permissive MIT license. Install it if you use boto3 with AuroraDSQL and want static type checking and IDE support. If you experience performance issues in PyCharm, the documentation suggests using the lite variant or a different type checker.
Install
mypy-boto3-dsql on PyPI
Before you install
Low friction install with a single lightweight runtime dependency (typing-extensions). The package is actively maintained, released 2 days ago, and supports current Python versions (3.9–3.14).
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 with minimal restrictions—suitable for both open-source and commercial projects.
Quickstart
pip install mypy-boto3-dsql
from boto3.session import Session
from mypy_boto3_dsql import AuroraDSQLClient
client: AuroraDSQLClient = Session().client("dsql")
# Type checking and IDE autocomplete now availableVerify before relying
- Performance impact in PyCharm with Literal overloads (documentation mentions issue PY-40997 but does not quantify the effect).
- Whether the package works correctly with all IDEs listed (VSCode, PyCharm, Emacs, Sublime Text) or only those with explicit LSP/type-checker support.
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 2 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 241,370 / month, #8,880 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_dsql-1.43.70-py3-none-any.whl
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See also mypy-boto3-ec2 · mypy-boto3-rds · mypy-boto3-odb · mypy-boto3-iot · mypy-boto3-quicksight · mypy-boto3-dataexchange · mypy-boto3-connect · mypy-boto3-wellarchitected · boto3-stubs-lite · mypy-boto3-athena