types-dateparser
Typing stubs for dateparser
Decision gist · record as of 2026-08-14
Yes, if you use dateparser and run static type checking. Install it alongside dateparser in your development dependencies (or in a type-checking environment) to get accurate type information. It has no runtime cost and is actively maintained as part of typeshed. If you do not use a type checker, there is no reason to install it.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low install friction; a pure stub package with no runtime dependencies.
- Actively maintained as part of typeshed, with a release just 1 day old.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in most projects without significant legal constraints.
last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 37 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,970,804 downloads/mo, #3,396 on PyPI
Alternatives
Verify before relying
pip install types-dateparser
# Then use dateparser in your code; type checkers will now understand its types:
import dateparser
result = dateparser.parse('2026-08-14')- Whether these stubs are kept in sync with dateparser releases beyond 1.4.2.
- Whether all dateparser APIs are fully annotated or if some remain untyped.
What it is and what it does
types-dateparser is a type stub package that adds static type information to the dateparser library. It is part of the typeshed project and allows type checkers—mypy, pyright, pyrefly, and ty—to understand and validate code that calls dateparser functions. The stubs are generated from typeshed and aim to provide accurate annotations for dateparser version 1.4.2.
You install this package alongside dateparser in your development environment so that your type checker can verify that you are calling dateparser functions correctly. It has no runtime dependencies and adds no overhead to your application; it is purely a development tool for catching type errors before runtime.
Use it for
- Enable mypy or pyright to catch type errors when calling dateparser functions in your codebase.
- Provide IDE autocomplete and type hints for dateparser APIs in editors that support type stubs.
- Ensure type safety in projects that parse dates with dateparser and use strict type checking.
- Validate that dateparser function arguments and return values match expected types in CI/CD pipelines.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use dateparser and run static type checking.
Install it alongside dateparser in your development dependencies (or in a type-checking environment) to get accurate type information. It has no runtime cost and is actively maintained as part of typeshed. If you do not use a type checker, there is no reason to install it.
Install
types-dateparser on PyPI
Before you install
Low install friction; a pure stub package with no runtime dependencies. Actively maintained as part of typeshed, with a release just 1 day old.
Requires Python 3.10 or later.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in most projects without significant legal constraints.
Quickstart
pip install types-dateparser
# Then use dateparser in your code; type checkers will now understand its types:
import dateparser
result = dateparser.parse('2026-08-14')
Verify before relying
- Whether these stubs are kept in sync with dateparser releases beyond 1.4.2.
- Whether all dateparser APIs are fully annotated or if some remain untyped.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 1 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,970,804 / month, #3,396 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: 3Typing :: Stubs Only |
Evidence: types_dateparser-1.4.2.20260813-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 › “type stubs dateparser”
- types-dateparserProvides type stubs for the dateparser package, enabling static type…
- dateparserParses dates from text in multiple languages and formats, handling…
- date-spacyAdds a spaCy pipeline component that identifies date entities in text…
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 types-antlr4-python3-runtime · types-docker · types-gevent · types-python-dateutil · types-Deprecated · types-yt-dlp · types-bleach · pandas-stubs · types-pyinstaller · types-django-filter