Comparing
pytest: simple powerful testing with Python
Typer, build great CLIs. Easy to code. Based on Python type hints
| Metric | pytest | typer |
|---|---|---|
| Ecosystem | Python | Python |
| Difficulty | Beginner ✓ | Intermediate |
| Weekly downloads | 0 | 0↑ |
| Latest version | v9.0.2 | v0.24.1 |
| Recipes | 1 | 4↑ |
pytest only
Shared
typer only
Use pytest for any Python project with tests. It's the de facto standard — most libraries, frameworks, and CI pipelines assume pytest. Its plugin ecosystem covers everything from coverage (pytest-cov) to async tests (pytest-asyncio) to parameterisation.
Use Typer when you're already writing typed Python code and want to expose it as a CLI with minimal boilerplate. It's especially good for tools used internally or distributed as packages where IDE support matters.
For extremely simple one-off scripts where adding a dependency feels heavy, unittest is built into Python. For property-based testing, add Hypothesis on top of pytest rather than replacing it.
Typer's magic can be surprising — if you need precise control over how arguments are parsed, displayed, or composed, drop down to Click directly. For simple one-file scripts, Click or even argparse may be clearer.
pytest
typer