$npx skillfedfor your agent

joblib-stubs

joblib stubs

With conditionsPyPI Software DevelopmentReleased Jan 2026109.6K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — joblib_stubs-1.5.3.1.20260117-py3-none-any.whl
v1.5.3.1.20260117 · released 2026-01-17 · Python >=3.11 · 1 runtime deps: typing-extensions

Yes, if you use joblib and want static type checking. Install it alongside joblib to enable type checkers to understand joblib's API. The package is lightweight, actively maintained, and has no security vulnerabilities. It imposes no runtime overhead since it contains only type information.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires joblib to be installed separately for runtime; stubs alone provide no execution capability.
  • Requires Python 3.11 or later.
  • Low friction installation with a single lightweight dependency (typing-extensions).

License · maintenance · safety

MIT (permissive) — MIT license is permissive and imposes no restrictions on use, modification, or distribution in your own projects.

last release 2026-01-17 (209 days) · last repo commit 2026-06-19 · 10 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 109,577 downloads/mo, #12,508 on PyPI

Verify before relying

pip install joblib-stubs

from joblib import Parallel, delayed
results = Parallel(n_jobs=2)(delayed(lambda x: x**2)(i) for i in range(10))
# Type checker now understands joblib's types
  • Completeness of type coverage for all joblib modules and functions beyond externals
  • Compatibility with type checkers other than mypy (pyright, pyre, etc.)
  • Whether stub coverage keeps pace with joblib's own API evolution
Same gist for agents: .md · .json

What it is and what it does

joblib-stubs is a type stub package that teaches static type checkers how to understand joblib's public API. It contains no runtime code—only type annotations and signatures. When installed alongside joblib, type checkers like mypy can now infer correct types for joblib functions like Parallel and delayed, catching type errors at analysis time rather than runtime.

The package is designed for developers who use joblib for parallel computing and want static type safety in their codebase. It supports Python 3.11 through 3.14 and depends only on typing-extensions. The stubs do not cover joblib.externals (bundled cloudpickle and loky), so type checking for those modules remains unavailable.

Use it for

  • Enable mypy or other type checkers to validate joblib usage in a data processing pipeline
  • Catch type mismatches in Parallel and delayed calls before runtime
  • Improve IDE autocomplete and inline documentation for joblib functions
  • Maintain type safety in a large codebase that uses joblib for distributed computation

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you use joblib and want static type checking.

Install it alongside joblib to enable type checkers to understand joblib's API. The package is lightweight, actively maintained, and has no security vulnerabilities. It imposes no runtime overhead since it contains only type information.

Install

joblib-stubs on PyPI

Before you install

Low friction installation with a single lightweight dependency (typing-extensions). Repository is actively maintained with recent commits, though the project is relatively young with modest adoption.

Requires joblib to be installed separately for runtime; stubs alone provide no execution capability. Requires Python 3.11 or later.

License in practice

MIT license is permissive and imposes no restrictions on use, modification, or distribution in your own projects.

Quickstart

pip install joblib-stubs

from joblib import Parallel, delayed
results = Parallel(n_jobs=2)(delayed(lambda x: x**2)(i) for i in range(10))
# Type checker now understands joblib's types

Verify before relying

  • Completeness of type coverage for all joblib modules and functions beyond externals
  • Compatibility with type checkers other than mypy (pyright, pyre, etc.)
  • Whether stub coverage keeps pace with joblib's own API evolution

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.11
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
typing-extensions
MaintenanceActively maintained 209 days since the last release
Last repo commit
First released
Downloads109,577 / month, #12,508 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 4 - BetaProgramming Language :: Python :: 3Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonTyping :: Stubs Only

Evidence: joblib_stubs-1.5.3.1.20260117-py3-none-any.whl

Tags

Capabilities
joblib type stubsjoblib type hintsstatic type checking joblibjoblib typing supporttype annotations for joblibjoblib mypy stubsjoblib type checker support
Topics
type-stubsstatic-analysis

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 › “joblib type stubs”

  • joblib-stubsProvides type stubs for joblib, enabling static type checkers to…
  • joblibsparkRegisters Apache Spark as a distributed backend for joblib's parallel…
  • gamma-pytoolsA collection of machine learning and visualization utilities…

Give your agent the search over MCP, or paste the wish link into any chat.

More Software Development packages

typing-extensions Worth it
PyPI · Software Development · released Jul 2026

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.

PSF-2.0pure Python · 3.9+
1.9Bdownloads / mo
numpy Worth it
PyPI · Software Development · released Aug 2026

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.

BSD-3-Clause AND 0BSD AND MIT AND Zlib AND CC0-1.0compiled wheel · 3.12+
1.1Bdownloads / mo
fastapi Worth it
PyPI · Software Development · released Jul 2026

FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.

MITpure Python · 3.10+
568.6Mdownloads / mo
annotated-doc With conditions
PyPI · Software Development · released Jul 2026

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.

MITpure Python · 3.9+
456.2Mdownloads / mo
typer Worth it
PyPI · Software Development · released Aug 2026

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.

MITpure Python · 3.10+
369.3Mdownloads / mo
distlib With conditions
PyPI · Software Development · released Jun 2026

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.

permissive licensepure Python
323.3Mdownloads / mo

See also diskcache-stubs · scipy-stubs · sqlalchemy-stubs · types-mypy-extensions · types-assertpy · types-pyflakes · types-greenlet · types-cffi · types-typed-ast