mongomock/mongomock

Health v2 · maintenance only

Adoption not part of the score

1005 stars · 359 forks observed · 2026-10-01

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Mongomock is a small Python library that provides a fake in-memory implementation of pymongo collection objects for testing MongoDB-dependent code. It lets unit tests run without a real MongoDB server while exercising the same query and update API.

Use cases

• unit test python code that uses pymongo without a mongodb server
• run mongodb-dependent tests in CI without database setup
• replace a real mongo collection with an in-memory fake in tests
• test mongodb queries and updates deterministically
• avoid record-replay mocks when testing database code

When to choose

• you want fast, dependency-free unit tests for pymongo-based code
• you cannot easily provision or clean a real MongoDB instance in your test environment
• your code uses simple MongoDB operations supported by the fake

When to avoid

• you need to test against real MongoDB behavior, server features, or aggregation fidelity
• your code relies on advanced MongoDB features mongomock does not implement
• you are doing integration or end-to-end testing where a real database is available

Facets

library · maturity maintenance

mocking testing database-driver testing databases developer-tools python mongodb pymongo test-doubles unit-testing

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