Pydantic
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Pydantic has 8 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Mostly:compared with(2), has function(1), based on(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedOther facts (6)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Compared With | voluptuous | [1] |
| Compared With | marshmallow | [1] |
| Has Function | data-validation | [1] |
| Based on | Json Schema | [1] |
| Provides | Model Definition | [1] |
| Allows | Auto Validation | [1] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (2)
ctx:claims/beam/22082b3e-b6c9-456c-afd6-20d8a4159c1f- full textbeam-chunktext/plain1 KB
doc:beam/22082b3e-b6c9-456c-afd6-20d8a4159c1fShow excerpt
data = { "user_id": 1, "feedback": "This is a test feedback" } # Validate the data try: feedback = Feedback(**data) print("Data is valid:", feedback.dict()) except ValidationError as err: print(f"Data is invalid: {err.e…
ctx:claims/beam/a74a41f4-f00e-499f-b751-3da635e3f2f0- full textbeam-chunktext/plain1 KB
doc:beam/a74a41f4-f00e-499f-b751-3da635e3f2f0Show excerpt
- **Pydantic**: A data validation library that uses Python type annotations, ideal for web applications and APIs. - **Voluptuous**: A simple and powerful library for validating Python data structures. Each of these libraries has its own st…
See also
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