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pydantic_core

PyPIv2.48.0

Core functionality for Pydantic validation and serialization

Not recommended for new projects

No — pydantic_core should not be adopted for new projects. No license declared — you have no explicit right to use this code.

  • ?Adoption: grade ?, Not reported by this registry.

    No download data reported for this package yet.

  • AMaintenance: grade A, Excellent.

    Last published 34 days ago. 50 releases in the last 2 years.

  • AWeight: grade A, Excellent.

    Pulls in 1 transitive package, about 2.0 MB installed.

  • BSupply chain: grade B, Good.

    This package lists no maintainer.

  • FLicense: grade F, Failing.

    No license declared — you have no explicit right to use this code.

Grades are computed deterministically from registry metadata collected by PackageGraph — downloads, dependents, publish dates, the resolved dependency tree, maintainer count, and declared licenses. No third-party scores are used.

Install cost

What you actually take on by adding pydantic_core to a project.

1
Direct dependencies

Runtime packages this one declares itself.

1
Total installed

Distinct packages in the full runtime tree, deduplicated the way a package manager would.

2.0 MB
Install size

Unpacked size of this package plus its entire runtime tree.

1
Tree depth

Longest resolved dependency chain below this package.

Compatibility

Python
python >=3.10

Quick start

A usage example from the pydantic_core README.

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',
Example truncated — see the full README.

Dependencies

Declared by pydantic_core v2.48.0. Runtime dependencies are installed with the package; dev dependencies are not.

Relationship graph

Dependencies (left) and dependents (right) of pydantic_core.

typing-extensionspydantic_core
pydantic_core dependencies dependents

Release history

41 releases in the last two years, typically about 4 days apart.

Recent versions of pydantic_core
VersionPublishedSizeLicense
2.46.512 days ago2.0 MB
2.48.0latest1 month ago2.0 MB
2.47.03 months ago2.0 MB
2.46.44 months ago2.0 MB
2.46.34 months ago2.0 MB
2.46.24 months ago2.0 MB
2.46.14 months ago2.0 MB
2.46.04 months ago2.0 MB
2.45.05 months ago2.0 MB
2.44.05 months ago2.1 MB
2.43.05 months ago1.9 MB
2.42.06 months ago2.0 MB
2.41.510 months ago2.0 MB
2.41.411 months ago2.0 MB
2.41.311 months ago2.0 MB

Overview

pydantic_core is an PyPI package that core functionality for Pydantic validation and serialization. The latest version is 2.48.0.

Who should use it

Teams working in the PyPI ecosystem who need core functionality for Pydantic validation and serialization and value a focused solution.

When not to use it

Consider an alternative if you need to or if a more actively-maintained option better fits your PyPI stack.

Pros

  • Lean dependency tree (1 direct dependencies).

Cons

  • No license detected — review usage terms before adopting.

Auto-generated from collected registry metadata. No external claims are inferred.

Funding

Frequently asked questions

Should I use pydantic_core?

No — pydantic_core should not be adopted for new projects. No license declared — you have no explicit right to use this code.

How do I install pydantic_core?

Run `pip install pydantic_core` to add pydantic_core to your PyPI project.

How many dependencies does pydantic_core have?

pydantic_core declares 1 direct dependency and pulls in 1 packages in total once its runtime tree is resolved totalling about 2.0 MB on disk.

What license is pydantic_core released under?

No license was detected in pydantic_core's metadata; review the repository before use.

Is pydantic_core still maintained?

The most recent release of pydantic_core (v2.48.0) was published 1 month ago.