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mock

Rolling backport of unittest.mock for all Pythons

With conditionsPyPI LibrariesReleased Mar 202532.9M downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — mock-5.2.0-py3-none-any.whl
v5.2.0 · released 2025-03-03 · Python >=3.6

Yes, if you need mocking in Python 3.6–3.9 or want a consistent backport across versions. No, if you're on Python 3.3+ and can use unittest.mock from the standard library directly—the backport adds no new features, only compatibility. The aging maintenance status (last release 529 days ago) is a minor concern but not a blocker, since the API is stable and there are no known vulnerabilities.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Low friction: pure Python wheel with no runtime dependencies.
  • Maintenance is aging—last release was 529 days ago—but the repository remains active with recent commits and the package is stable (Production/Stable status).

License · maintenance · safety

permissive license (permissive) — Licensed under BSD (permissive), so you can use it freely in commercial and open-source projects without significant legal constraints.

last release 2025-03-03 (529 days) · last repo commit 2025-03-03 · 538 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 32,892,422 downloads/mo, #770 on PyPI

Verify before relying

pip install mock

from mock import Mock, patch

m = Mock()
m.method()
assert m.method.called
  • Whether the backport adds features or fixes beyond what unittest.mock in current Python versions provides
  • Specific scenarios where installing this backport is preferable to using the standard library directly
Same gist for agents: .md · .json

What it is and what it does

mock is a rolling backport of Python's standard library unittest.mock module, packaged for use with Python 3.6 and later. Since unittest.mock became part of the standard library in Python 3.3, this package exists primarily to provide a consistent, up-to-date version of the mocking API across different Python versions. It lets you create mock objects to replace real components during testing, spy on how those mocks are called, and make assertions about their usage patterns.

The package has no runtime dependencies and installs as a pure Python wheel, making it lightweight and quick to add to any test suite. It's widely used (top 1000 on PyPI with millions of monthly downloads) and carries no known security vulnerabilities. However, maintenance is aging—the last release was over a year ago—so it may lag behind the latest standard library improvements if you're running a recent Python version where unittest.mock is already available.

Use it for

  • Replace external API calls in unit tests to avoid network requests and ensure test isolation
  • Verify that specific methods were called with expected arguments during test execution
  • Stub out database connections or file I/O to speed up test runs and eliminate side effects
  • Test error handling by configuring mocks to raise exceptions on demand
  • Ensure consistent mock behavior across teams using different Python 3.6+ versions

Worth the install?

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

With conditions

Yes, if you need mocking in Python 3.6–3.9 or want a consistent backport across versions.

No, if you're on Python 3.3+ and can use unittest.mock from the standard library directly—the backport adds no new features, only compatibility. The aging maintenance status (last release 529 days ago) is a minor concern but not a blocker, since the API is stable and there are no known vulnerabilities.

Install

mock on PyPI

Before you install

Low friction: pure Python wheel with no runtime dependencies. Maintenance is aging—last release was 529 days ago—but the repository remains active with recent commits and the package is stable (Production/Stable status).

License in practice

Licensed under BSD (permissive), so you can use it freely in commercial and open-source projects without significant legal constraints.

Quickstart

pip install mock

from mock import Mock, patch

m = Mock()
m.method()
assert m.method.called

Verify before relying

  • Whether the backport adds features or fixes beyond what unittest.mock in current Python versions provides
  • Specific scenarios where installing this backport is preferable to using the standard library directly

Package facts

Licensepermissive license permissive
Python supportSupports the current Python release >=3.6
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceAging 529 days since the last release
Last repo commit
First released
Downloads32,892,422 / month, #770 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersLicense :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python ModulesTopic :: Software Development :: Testing

Evidence: mock-5.2.0-py3-none-any.whl

Tags

Capabilities
mock objects for testingunittest.mock backportreplace system components in testsassert mock object callspython test doublesmock library pythontesting with mocks
Topics
testingbackportmocking

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See also callee · types-mock · flake8-mock-spec · extras · flexmock · requests-mock · mock-open · pytest-mock · databricks-test · testpath