Python Locust: Load Testing APIs Safely
Model realistic journeys, ramp traffic gradually, and read percentiles and failures without creating an accidental attack.
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12 articles on this pageRESPX: Mock HTTPX in Python Tests
Isolate HTTPX integrations with mock routes and assertions that verify the contract without contacting live services.
pytest-asyncio: Testing Async Python Code
Test coroutines and asynchronous resources with isolation, deadlines, and assertions focused on observable behavior.
Python msgspec: Typed Validation and Serialization
Define typed contracts and decode JSON into validated objects without confusing fast parsing with business validation.
Python orjson: Fast and Safe JSON Serialization
Understand API differences, supported types, and compatibility checks before adopting orjson in a Python application.
Python attrs: Data Classes with Validation
Model objects with attrs validators and converters while keeping invariants explicit and constructors easy to test.
Freezegun in Python: Deterministic Date and Time Tests
Control the clock in expiration and scheduling tests without waiting for real time or depending on the machine date.
Factory Boy in Python: Maintainable Test Data
Centralize valid defaults for tests and override only the value that matters in each scenario.
pytest parametrize: Test Multiple Cases Without Duplication
Turn repeated examples into independent cases with isolated failures and useful names in pytest reports.
Python Rich: Readable Terminal Output Without Clutter
Improve CLI readability with tables and progress without making colors or animation necessary to understand the result.
Python HTTPX: Synchronous and Async HTTP Client
Make HTTP requests with pooled connections, explicit timeouts, and the same core interface in synchronous or asynchronous code.
Python concurrent.futures: Threads and Processes
Choose threads for I/O waits and processes for CPU work while keeping limits, failures, and shutdown under control.