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alchemy-mock

SQLAlchemy mock helpers.

With conditionsPyPI TestingReleased Nov 2019223.1K downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — alchemy_mock-0.4.3-py2.py3-none-any.whl
v0.4.3 · released 2019-11-05 · 3 runtime deps: six, sqlalchemy, setuptools

Yes, but with caution. The package solves a real testing problem and has low install friction, but it is abandoned and has not been updated since 2021. Install it only if your SQLAlchemy and Python versions are compatible with its last release, and only if you are willing to maintain a fork or workaround if compatibility breaks. For new projects, consider actively maintained alternatives.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires SQLAlchemy to be installed; package is abandoned and may have compatibility issues with modern SQLAlchemy or Python versions.
  • Low install friction with three lightweight runtime dependencies.
  • However, the package is abandoned—last release was 2019-11-05 and last commit 2021-01-07.

License · maintenance · safety

MIT (permissive) — MIT license is permissive and poses no restrictions on use, modification, or distribution in commercial or private projects.

last release 2019-11-05 (2474 days) · last repo commit 2021-01-07 · 83 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 223,061 downloads/mo, #9,253 on PyPI

Verify before relying

pip install alchemy-mock

from alchemy_mock.mocking import UnifiedAlchemyMagicMock
session = UnifiedAlchemyMagicMock()
m = session.query(Model)
q = m.filter(Model.foo == 5)
data = q.all()
  • Compatibility with SQLAlchemy versions released after 2021-01-07 is not documented.
  • Whether the package works with Python versions beyond 3.6 is unclear given the abandoned status.
  • Current real-world usage patterns and whether the package remains functional with modern dependencies.
Same gist for agents: .md · .json

What it is and what it does

alchemy-mock provides utilities to mock SQLAlchemy sessions and query expressions in unit tests, eliminating the need to access a real database during testing. It includes ExpressionMatcher for comparing SQLAlchemy binary expressions (which normally produce another expression rather than a boolean), AlchemyMagicMock for basic session mocking, and UnifiedAlchemyMagicMock for more complex scenarios where sessions are queried multiple times with different filters. The library can stub real data by filtering criteria and partially supports session mutations like add() and add_all().

The package depends on six, sqlalchemy, and setuptools. It is classified as Pre-Alpha and has not been maintained since early 2021, with the last release in November 2019. While it has modest popularity, the abandoned status means bug fixes and compatibility updates are unlikely.

Use it for

  • Unit test SQLAlchemy-based code without spinning up a test database or fixtures.
  • Assert that query filters were applied correctly by comparing filter expressions directly.
  • Stub query results based on specific filter criteria to test conditional logic in data access layers.
  • Mock session.add() and session.query() calls to verify ORM operations without persistence.
  • Test complex multi-filter query chains by unifying and inspecting all filter calls together.

Worth the install?

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

With conditions

Yes, but with caution.

The package solves a real testing problem and has low install friction, but it is abandoned and has not been updated since 2021. Install it only if your SQLAlchemy and Python versions are compatible with its last release, and only if you are willing to maintain a fork or workaround if compatibility breaks. For new projects, consider actively maintained alternatives.

Install

alchemy-mock on PyPI

Before you install

Low install friction with three lightweight runtime dependencies. However, the package is abandoned—last release was 2019-11-05 and last commit 2021-01-07. No active maintenance means compatibility issues with newer SQLAlchemy or Python versions are unlikely to be addressed.

Requires SQLAlchemy to be installed; package is abandoned and may have compatibility issues with modern SQLAlchemy or Python versions.

License in practice

MIT license is permissive and poses no restrictions on use, modification, or distribution in commercial or private projects.

Quickstart

pip install alchemy-mock

from alchemy_mock.mocking import UnifiedAlchemyMagicMock
session = UnifiedAlchemyMagicMock()
m = session.query(Model)
q = m.filter(Model.foo == 5)
data = q.all()

Verify before relying

  • Compatibility with SQLAlchemy versions released after 2021-01-07 is not documented.
  • Whether the package works with Python versions beyond 3.6 is unclear given the abandoned status.
  • Current real-world usage patterns and whether the package remains functional with modern dependencies.

Package facts

LicenseMIT permissive
Python supportNot specified
Install frictionLow. Pure-Python wheel
Runtime dependencies
3 packages
sixsqlalchemysetuptools
MaintenanceAbandoned 2,474 days since the last release
Last repo commit
First released
Downloads223,061 / month, #9,253 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 2 - Pre-AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishProgramming Language :: PythonProgramming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.6

Evidence: alchemy_mock-0.4.3-py2.py3-none-any.whl

Tags

Capabilities
sqlalchemy mock testingmock database sessionsqlalchemy unit testexpression matcherdatabase mock helperssqlalchemy test doublesquery mocking
Topics
sqlalchemy-testingabandoned
PyPI keywords
sqlalchemymocktesting

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See also mock-alchemy · django-mock-queries · sqlalchemy-mixins · duckdb-engine · pytest-mock-resources · sqlalchemy-easy-softdelete · flexmock · callee · SQLAlchemy-Continuum · sqlalchemy-filters