pydantic_core

Core functionality for Pydantic validation and serialization

pydantic-core Permissive license MIT Active ★ 28,532 v2.48.0 released 2026-08-06

Install

pydantic-core on PyPI

pip

pip install pydantic-core

uv

uv add pydantic-core

poetry

poetry add pydantic-core

Package facts

License	MIT (permissive)
Python support	supports the current Python release (>=3.10)
Install friction	medium — platform-specific wheel
Runtime dependencies	1 — typing-extensions
Maintenance	actively maintained — 7 days since the last release
Last repo commit	2026-08-13
First released	2022-04-20
Popularity	one of the 100 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: pydantic_core-2.48.0-cp310-cp310-macosx_10_12_x86_64.whl; pydantic_core-2.48.0-cp310-cp310-macosx_11_0_arm64.whl; pydantic_core-2.48.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; pydantic_core-2.48.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl; pydantic_core-2.48.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl; pydantic_core-2.48.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl; pydantic_core-2.48.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; pydantic_core-2.48.0-cp310-cp310-manylinux_2_31_riscv64.whl; pydantic_core-2.48.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl; pydantic_core-2.48.0-cp310-cp310-musllinux_1_1_aarch64.whl; pydantic_core-2.48.0-cp310-cp310-musllinux_1_1_armv7l.whl; pydantic_core-2.48.0-cp310-cp310-musllinux_1_1_x86_64.whl; pydantic_core-2.48.0-cp310-cp310-win32.whl; pydantic_core-2.48.0-cp310-cp310-win_amd64.whl; pydantic_core-2.48.0-cp311-cp311-macosx_10_12_x86_64.whl; pydantic_core-2.48.0-cp311-cp311-macosx_11_0_arm64.whl; pydantic_core-2.48.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; pydantic_core-2.48.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl; pydantic_core-2.48.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl; pydantic_core-2.48.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl

Development Status :: 3 - AlphaFramework :: PydanticIntended Audience :: DevelopersIntended Audience :: Information TechnologyOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: GraalPyProgramming Language :: Python :: Implementation :: PyPyProgramming Language :: RustTyping :: Typed

About pydantic_core

from the package's own PyPI description — quoted content, verbatim

pydantic-core

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This package provides the core functionality for pydantic validation and serialization.

Pydantic-core is currently around 17x faster than pydantic V1. See tests/benchmarks/ for details.

Example of direct usage

NOTE: You should not need to use pydantic-core directly; instead, use pydantic, which in turn uses pydantic-core.

```py from pydantic_core import SchemaValidator, ValidationError

v =...

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

pydantic-core provides the high-performance validation and serialization engine underlying Pydantic, handling schema-based data validation for Python objects and JSON with ~17x speed improvement over Pydantic V1.

Medium install friction due to compiled Rust components; wheels are pre-built for Python 3.10–3.14 across Linux, macOS, and Windows architectures. Actively maintained with a release 7 days ago and strong upstream integration.

MIT license permits unrestricted commercial and private use, modification, and distribution with minimal obligations—only requiring license and copyright notice retention.

Usage

from pydantic_core import SchemaValidator, ValidationError

v = SchemaValidator({
    'type': 'typed-dict',
    'fields': {
        'name': {'type': 'typed-dict-field', 'schema': {'type': 'str'}},
        'age': {'type': 'typed-dict-field', 'schema': {'type': 'int', 'ge': 18}}
    }
})
result = v.validate_python({'name': 'Samuel', 'age': 35})

Requires Python ≥3.10; Rust toolchain needed only for development builds from source.

Verdict: pydantic-core is a mature, actively maintained validation engine in the top 100 PyPI packages with no known vulnerabilities, permissive MIT licensing, and pre-built wheels minimizing install friction. Direct use is discouraged in favor of the higher-level Pydantic API, but it is production-ready for those needing raw validation performance.

Needs verification

Whether the 17x speed claim versus Pydantic V1 holds for typical application workloads beyond micro-benchmarks.
Stability guarantees given the 'Alpha' development status classifier despite active maintenance and wide adoption.

data validation engineschema validator pythonjson validation librarypydantic core validationfast data serializationtyped dict validationpython type checking