types-Markdown
Typing stubs for Markdown
Decision gist · record as of 2026-08-14
Yes, if you use Markdown in a codebase with static type checking. Install it alongside mypy or pyright to eliminate type-checking blind spots in Markdown usage. No installation needed if you don't use a type checker or don't use the Markdown library.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.10; type checker (mypy, pyright, or similar) must be installed separately to use the stubs.
- Low install friction with no runtime dependencies.
- Maintained actively as part of the typeshed project, with recent updates.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), imposing no significant restrictions on use or redistribution.
last release 2026-07-12 (33 days) · last repo commit 2026-08-14 · 37 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 17,723,404 downloads/mo, #1,105 on PyPI
Alternatives
Verify before relying
pip install types-Markdown
# Then use with mypy or pyright in your project
# mypy will automatically discover the stubs when checking code that imports markdown- Whether this stub package works with Markdown versions outside the ~=3.10.2 range it targets.
- Coverage completeness for all public Markdown APIs relative to the actual library.
What it is and what it does
types-Markdown is a type stub package that bridges the Markdown library and static type checkers. It contains type annotations for the Markdown package, allowing tools like mypy (2.2.0) and pyright (1.1.411) to understand the types and signatures of Markdown's public API when analyzing code that imports and uses it.
This package is maintained as part of the typeshed project and is automatically generated from typeshed's stub definitions. It has no runtime dependencies and is installed purely to support development-time type checking. Once installed, type checkers will automatically discover and use the stubs to validate calls to Markdown functions and classes.
Use it for
- Enable mypy or pyright to type-check code that calls Markdown library functions without false positives.
- Catch type errors in Markdown usage (e.g., passing wrong argument types) before runtime.
- Provide IDE autocomplete and inline type hints for Markdown APIs in editors that support type stubs.
- Validate Markdown integration in a larger typed codebase without modifying the Markdown library itself.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use Markdown in a codebase with static type checking.
Install it alongside mypy or pyright to eliminate type-checking blind spots in Markdown usage. No installation needed if you don't use a type checker or don't use the Markdown library.
Install
types-markdown on PyPI
Before you install
Low install friction with no runtime dependencies. Maintained actively as part of the typeshed project, with recent updates.
Requires Python >=3.10; type checker (mypy, pyright, or similar) must be installed separately to use the stubs.
License in practice
Licensed under Apache-2.0 (permissive), imposing no significant restrictions on use or redistribution.
Quickstart
pip install types-Markdown
# Then use with mypy or pyright in your project
# mypy will automatically discover the stubs when checking code that imports markdownVerify before relying
- Whether this stub package works with Markdown versions outside the ~=3.10.2 range it targets.
- Coverage completeness for all public Markdown APIs relative to the actual library.
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 33 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 17,723,404 / month, #1,105 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_markdown-3.10.2.20260712-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 markdown”
- types-MarkdownProvides type stubs for the Markdown package, enabling type checkers…
- mkdocs-github-admonitions-pluginA MkDocs plugin that converts GitHub-flavored admonitions (using `>…
- mkdocstrings-python-legacyA legacy Python documentation handler for mkdocstrings that extracts…
Give your agent the search over MCP, or paste the wish link into any chat.
More Markup packages
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
A Python markdown parser that converts markdown to HTML following the CommonMark specification, with support for plugins and custom syntax rules.
Install it if you need reliable markdown-to-HTML conversion.
Beautiful Soup parses HTML and XML documents into a navigable tree, providing Pythonic methods to search, iterate, and modify the parsed content.
Install it if you need to parse or extract data from markup documents.
et_xmlfile writes large XML files with minimal memory overhead by serializing elements to disk as they are created, rather than holding the entire tree in memory.
Install it if incremental XML writing fits your use case; skip it if your XML documents are small or you already use lxml.
Parses and edits TOML files while preserving formatting, comments, and structure, then serializes them back with layout intact.
Install it if you're building tools that touch TOML files and user readability of the source matters.
Parses Python docstrings in ReST, Google, Numpydoc, and Epydoc formats, extracting structured information like descriptions, parameters, return types, and exceptions.
Install it if you need to programmatically read and extract structured data from Python docstrings.
See also types-cachetools · types-click-spinner · types-colorama · types-croniter · types-decorator · types-Flask-Cors · types-gdb · types-icalendar · types-pyperclip · types-requests