mypy-boto3-comprehend
Type annotations for boto3 Comprehend 1.43.0 service generated with mypy-boto3-builder 8.12.0
Decision gist · record as of 2026-08-14
Yes, if you use boto3 Comprehend and want static type checking or IDE autocompletion. The package is lightweight, actively maintained, has no production overhead, and carries an MIT license. Install it in your development environment only; it is not needed at runtime. Consider the lite variant if PyCharm performance becomes an issue.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 in your environment.
- Low friction: single runtime dependency (typing-extensions), wheel-only distribution, and actively maintained with recent commits.
- Designed as a development-time annotation package with no production runtime overhead.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution. Safe to include in any project type without licensing restrictions.
last release 2026-04-29 (107 days) · last repo commit 2026-06-22 · 670 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 319,301 downloads/mo, #7,645 on PyPI
Alternatives
Verify before relying
pip install mypy-boto3-comprehend
from boto3.session import Session
from mypy_boto3_comprehend import ComprehendClient
client: ComprehendClient = Session().client("comprehend")- Whether PyCharm performance issues mentioned in the description (PY-40997) still affect current versions.
- Whether the lite variant (boto3-stubs-lite) offers meaningful performance improvements for large projects.
What it is and what it does
This package is a stub-only type annotation library for AWS Comprehend, one of boto3's natural language processing services. It was generated by mypy-boto3-builder 8.12.0 and provides complete type hints for Comprehend client methods, paginators, and type definitions. When installed, it enables IDEs like VSCode, PyCharm, Emacs, and Sublime Text to offer code completion and type checking for Comprehend API calls, and works with standalone type checkers like mypy and pyright.
The package is intended for development environments only—it contains no runtime code, only type stubs. It depends only on typing-extensions and requires Python 3.9 or later. Installation is straightforward via pip, and the package is actively maintained with recent releases tracking boto3 1.43.0.
Use it for
- Enable IDE autocomplete and type hints when writing boto3 Comprehend code in VSCode or PyCharm.
- Run mypy or pyright type checking on code that uses Comprehend without runtime errors.
- Catch type mismatches in Comprehend API calls (e.g., wrong argument types) before deployment.
- Document Comprehend client and paginator types explicitly in your codebase for team clarity.
- Support Emacs or Sublime Text development with LSP-based type checking for Comprehend operations.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use boto3 Comprehend and want static type checking or IDE autocompletion.
The package is lightweight, actively maintained, has no production overhead, and carries an MIT license. Install it in your development environment only; it is not needed at runtime. Consider the lite variant if PyCharm performance becomes an issue.
Install
mypy-boto3-comprehend on PyPI
Before you install
Low friction: single runtime dependency (typing-extensions), wheel-only distribution, and actively maintained with recent commits. Designed as a development-time annotation package with no production runtime overhead.
Requires Python 3.9 or later; boto3 must be installed separately in your environment.
License in practice
MIT license permits unrestricted use, modification, and distribution. Safe to include in any project type without licensing restrictions.
Quickstart
pip install mypy-boto3-comprehend
from boto3.session import Session
from mypy_boto3_comprehend import ComprehendClient
client: ComprehendClient = Session().client("comprehend")
Verify before relying
- Whether PyCharm performance issues mentioned in the description (PY-40997) still affect current versions.
- Whether the lite variant (boto3-stubs-lite) offers meaningful performance improvements for large projects.
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 107 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 319,301 / month, #7,645 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_comprehend-1.43.0-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 comprehend”
- mypy-boto3-comprehendProvides type annotations and IDE autocompletion support for boto3's…
- types-boto3-comprehendProvides type annotations for boto3's Comprehend service, enabling…
- types-aiobotocore-comprehendProvides type annotations and IDE autocompletion support for…
Give your agent the search over MCP, or paste the wish link into any chat.
More Linguistic packages
Detects and normalizes text encoding from unknown or ambiguous sources, supporting all IANA character sets that Python's core library provides codecs for, with the ability to register custom codecs.
tiktoken is a fast BPE tokenizer that converts text into token sequences compatible with OpenAI models, supporting multiple encoding schemes including o200k_base and model-specific encodings.
Install it if you work with OpenAI APIs or need to understand token boundaries in GPT-family models.
Detects character encoding and language in byte sequences with high accuracy, supporting 99 encodings and returning confidence scores, language tags, and MIME types.
Install it if you need to detect character encoding or language in byte data; the rewrite makes it substantially faster and more accurate than its predecessors.
Converts Unicode text to ASCII by transliterating non-ASCII characters into their closest ASCII equivalents, with no runtime dependencies.
However, if transliteration quality or ongoing maintenance matters, consider unidecode instead despite its GPL-only license.
Lark is a parsing library that builds abstract syntax trees from context-free grammars, supporting multiple parsing algorithms (Earley, LALR(1), CYK) with automatic line and column tracking.
Python bindings to the tree-sitter parsing library, enabling incremental parsing and syntax tree analysis for source code.
See also types-boto3-comprehend · types-aiobotocore-comprehend · mypy-boto3-ec2 · mypy-boto3-license-manager-user-subscriptions · mypy-boto3-entityresolution · mypy-boto3-dataexchange · mypy-boto3-evidently · mypy-boto3-sagemaker · mypy-boto3-appmesh · mypy-boto3-connect