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Metadata-Version: 2.4
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Name: pydantic_core
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Version: 2.41.5
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Classifier: Development Status :: 3 - Alpha
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Classifier: Programming Language :: Python
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3 :: Only
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3.12
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Classifier: Programming Language :: Python :: 3.13
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Classifier: Programming Language :: Python :: 3.14
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Classifier: Programming Language :: Python :: Implementation :: CPython
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Classifier: Programming Language :: Python :: Implementation :: PyPy
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Classifier: Programming Language :: Python :: Implementation :: GraalPy
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Classifier: Programming Language :: Rust
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Classifier: Framework :: Pydantic
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Classifier: Intended Audience :: Developers
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Classifier: Intended Audience :: Information Technology
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Classifier: Operating System :: POSIX :: Linux
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Classifier: Operating System :: Microsoft :: Windows
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Classifier: Operating System :: MacOS
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Classifier: Typing :: Typed
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Requires-Dist: typing-extensions>=4.14.1
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License-File: LICENSE
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Summary: Core functionality for Pydantic validation and serialization
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Home-Page: https://github.com/pydantic/pydantic-core
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Author-email: Samuel Colvin <s@muelcolvin.com>, Adrian Garcia Badaracco <1755071+adriangb@users.noreply.github.com>, David Montague <david@pydantic.dev>, David Hewitt <mail@davidhewitt.dev>, Sydney Runkle <sydneymarierunkle@gmail.com>, Victorien Plot <contact@vctrn.dev>
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License-Expression: MIT
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Requires-Python: >=3.9
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Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
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Project-URL: Homepage, https://github.com/pydantic/pydantic-core
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Project-URL: Funding, https://github.com/sponsors/samuelcolvin
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Project-URL: Source, https://github.com/pydantic/pydantic-core
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# pydantic-core
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[](https://github.com/pydantic/pydantic-core/actions?query=event%3Apush+branch%3Amain+workflow%3Aci)
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[](https://codecov.io/gh/pydantic/pydantic-core)
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[](https://pypi.python.org/pypi/pydantic-core)
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[](https://github.com/pydantic/pydantic-core)
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[](https://github.com/pydantic/pydantic-core/blob/main/LICENSE)
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This package provides the core functionality for [pydantic](https://docs.pydantic.dev) validation and serialization.
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Pydantic-core is currently around 17x faster than pydantic V1.
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See [`tests/benchmarks/`](./tests/benchmarks/) for details.
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## Example of direct usage
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_NOTE: You should not need to use pydantic-core directly; instead, use pydantic, which in turn uses pydantic-core._
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```py
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from pydantic_core import SchemaValidator, ValidationError
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v = SchemaValidator(
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{
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'type': 'typed-dict',
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'fields': {
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'name': {
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'type': 'typed-dict-field',
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'schema': {
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'type': 'str',
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},
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},
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'age': {
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'type': 'typed-dict-field',
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'schema': {
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'type': 'int',
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'ge': 18,
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},
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},
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'is_developer': {
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'type': 'typed-dict-field',
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'schema': {
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'type': 'default',
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'schema': {'type': 'bool'},
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'default': True,
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},
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},
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},
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}
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)
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r1 = v.validate_python({'name': 'Samuel', 'age': 35})
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assert r1 == {'name': 'Samuel', 'age': 35, 'is_developer': True}
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# pydantic-core can also validate JSON directly
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r2 = v.validate_json('{"name": "Samuel", "age": 35}')
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assert r1 == r2
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try:
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v.validate_python({'name': 'Samuel', 'age': 11})
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except ValidationError as e:
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print(e)
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"""
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1 validation error for model
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age
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Input should be greater than or equal to 18
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[type=greater_than_equal, context={ge: 18}, input_value=11, input_type=int]
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"""
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```
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## Getting Started
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### Prerequisites
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You'll need:
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1. **[Rust](https://rustup.rs/)** - Rust stable (or nightly for coverage)
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2. **[uv](https://docs.astral.sh/uv/getting-started/installation/)** - Fast Python package manager (will install Python 3.9+ automatically)
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3. **[git](https://git-scm.com/)** - For version control
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4. **[make](https://www.gnu.org/software/make/)** - For running development commands (or use `nmake` on Windows)
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### Quick Start
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```bash
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# Clone the repository (or from your fork)
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git clone git@github.com:pydantic/pydantic-core.git
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cd pydantic-core
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# Install all dependencies using uv, setup pre-commit hooks, and build the development version
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make install
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```
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Verify your installation by running:
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```bash
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make
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```
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This runs a full development cycle: formatting, building, linting, and testing
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### Development Commands
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Run `make help` to see all available commands, or use these common ones:
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```bash
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make build-dev # to build the package during development
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make build-prod # to perform an optimised build for benchmarking
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make test # to run the tests
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make testcov # to run the tests and generate a coverage report
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make lint # to run the linter
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make format # to format python and rust code
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make all # to run to run build-dev + format + lint + test
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```
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### Useful Resources
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* [`python/pydantic_core/_pydantic_core.pyi`](./python/pydantic_core/_pydantic_core.pyi) - Python API types
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* [`python/pydantic_core/core_schema.py`](./python/pydantic_core/core_schema.py) - Core schema definitions
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* [`tests/`](./tests) - Comprehensive usage examples
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## Profiling
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It's possible to profile the code using the [`flamegraph` utility from `flamegraph-rs`](https://github.com/flamegraph-rs/flamegraph). (Tested on Linux.) You can install this with `cargo install flamegraph`.
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Run `make build-profiling` to install a release build with debugging symbols included (needed for profiling).
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Once that is built, you can profile pytest benchmarks with (e.g.):
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```bash
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flamegraph -- pytest tests/benchmarks/test_micro_benchmarks.py -k test_list_of_ints_core_py --benchmark-enable
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```
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The `flamegraph` command will produce an interactive SVG at `flamegraph.svg`.
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## Releasing
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1. Bump package version locally. Do not just edit `Cargo.toml` on Github, you need both `Cargo.toml` and `Cargo.lock` to be updated.
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2. Make a PR for the version bump and merge it.
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3. Go to https://github.com/pydantic/pydantic-core/releases and click "Draft a new release"
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4. In the "Choose a tag" dropdown enter the new tag `v<the.new.version>` and select "Create new tag on publish" when the option appears.
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5. Enter the release title in the form "v<the.new.version> <YYYY-MM-DD>"
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6. Click Generate release notes button
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7. Click Publish release
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8. Go to https://github.com/pydantic/pydantic-core/actions and ensure that all build for release are done successfully.
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9. Go to https://pypi.org/project/pydantic-core/ and ensure that the latest release is published.
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10. Done 🎉
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