Comparing
Drop-in datetime replacement with first-class timezone support, DST awareness, and intuitive arithmetic.
Data validation using Python type hints
| Metric | pendulum | pydantic |
|---|---|---|
| Ecosystem | Python | Python |
| Difficulty | Beginner ✓ | Intermediate |
| Weekly downloads | 2.0M↑ | 0 |
| Latest version | v3.0.0 | v2.12.5 |
| Recipes | 1 | 2↑ |
pendulum only
Shared
pydantic only
Scheduling apps, calendar features, time-series data across timezones, any app where DST bugs would be costly.
Use Pydantic for parsing API responses, validating config files, defining request/response schemas in FastAPI, or any time you receive data from an external source and want guarantees about its shape and types.
Simple UTC-only timestamps where datetime.now(timezone.utc) is sufficient. pendulum is heavier than stdlib.
Pydantic adds overhead on every model instantiation — not ideal for tight inner loops parsing millions of small objects. For pure config files with no user-facing validation, dataclasses or simple TypedDicts may be lighter.
pendulum
pydantic