types-dataclasses
Typing stubs for dataclasses
Decision gist · record as of 2026-08-14
No. This package is explicitly unmaintained and has not been updated since 2022-06-30. Modern Python versions include dataclasses in the standard library with built-in type support. Install only if maintaining legacy code on an older Python version that lacks native dataclasses type annotations.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with no runtime dependencies.
- However, the package is explicitly unmaintained and has not been updated since 2022-06-30, over 1506 days ago.
License · maintenance · safety
Apache-2.0 license (permissive) — Licensed under Apache-2.0, a permissive license that poses no restrictions on use or redistribution in most contexts.
last release 2022-06-30 (1506 days) · last repo commit 2026-08-14 · 5,108 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 757,150 downloads/mo, #5,137 on PyPI
Alternatives
Verify before relying
pip install types-dataclasses
Then configure your type checker (mypy, PyCharm, pytype) to use the stubs when checking code that imports from dataclasses.- Whether this stub package remains necessary for type checking on current Python versions, given dataclasses is now in the standard library
What it is and what it does
types-dataclasses is a PEP 561 type stub package that provides type information for Python's dataclasses module. It was designed to help static type checkers like mypy, PyCharm, and pytype understand and validate code that uses dataclasses.
The package is explicitly unmaintained and has not been updated since 2022-06-30. For modern Python versions, the dataclasses module in the standard library includes native type support, making this stub package potentially redundant for most users.
Use it for
- Type-checking projects that use dataclasses on Python versions where the standard library lacks type annotations
- Providing type hints to static checkers when working with codebases that cannot upgrade Python versions
- Ensuring type safety in projects that must maintain compatibility with older Python releases
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
This package is explicitly unmaintained and has not been updated since 2022-06-30. Modern Python versions include dataclasses in the standard library with built-in type support. Install only if maintaining legacy code on an older Python version that lacks native dataclasses type annotations.
Install
types-dataclasses on PyPI
Before you install
Low install friction with no runtime dependencies. However, the package is explicitly unmaintained and has not been updated since 2022-06-30, over 1506 days ago.
License in practice
Licensed under Apache-2.0, a permissive license that poses no restrictions on use or redistribution in most contexts.
Quickstart
pip install types-dataclasses
Then configure your type checker (mypy, PyCharm, pytype) to use the stubs when checking code that imports from dataclasses.Verify before relying
- Whether this stub package remains necessary for type checking on current Python versions, given dataclasses is now in the standard library
Package facts
| License | Apache-2.0 license permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 1,506 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 757,150 / month, #5,137 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Typing :: Stubs Only |
Evidence: types_dataclasses-0.6.6-py3-none-any.whl
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See also data-science-types · pyspark-stubs · types-typed-ast · types-backports · types-atomicwrites · types-attrs · types-maxminddb · types-appdirs · types-ipaddress · types-futures