Package Health Score

72 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Sustainable

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42

Popularity

Small

GitHub Stars: 37
Forks: 7
Contributors: 3

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pydantic_numpy, we found that it has been starred 37 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 16, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-4-Clause

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 0
Open PR: 0
Last Release: 7 days ago
Last Commit: 7 days ago

Further analysis of the maintenance status of pydantic_numpy based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that pydantic_numpy demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 3
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: <3.14,>=3.10

Age: 2 years
Latest Release: 7 days ago
Dependencies: 0 Direct
Versions: 22
Maintainers: 1
Wheels: OS Independent

Readme

pydantic-numpy

Ruff

Usage

Package that integrates NumPy Arrays into Pydantic!

pydantic_numpy.typing provides many typings such as NpNDArrayFp64, Np3DArrayFp64 (float64 that must be 3D)! Works with both pydantic.BaseModel and pydantic.dataclass
NumpyModel (derived from pydantic.BaseModel) make it possible to dump and load np.ndarray within model fields alongside other fields that are not instances of np.ndarray!

See the test.helper.testing_groups to see types that are defined explicitly.

Examples

For more examples see test_ndarray.py

import numpy as np
from pydantic import BaseModel

import pydantic_numpy.typing as pnd
from pydantic_numpy import np_array_pydantic_annotated_typing
from pydantic_numpy.model import NumpyModel, MultiArrayNumpyFile


class MyBaseModelDerivedModel(BaseModel):
    any_array_dtype_and_dimension: pnd.NpNDArray

    # Must be numpy float32 as dtype
    k: np_array_pydantic_annotated_typing(data_type=np.float32)
    shorthand_for_k: pnd.NpNDArrayFp32

    must_be_1d_np_array: np_array_pydantic_annotated_typing(dimensions=1)


class MyDemoNumpyModel(NumpyModel):
    k: np_array_pydantic_annotated_typing(data_type=np.float32)


# Instantiate from array
cfg = MyDemoModel(k=[1, 2])
# Instantiate from numpy file
cfg = MyDemoModel(k="path_to/array.npy")
# Instantiate from npz file with key
cfg = MyDemoModel(k=MultiArrayNumpyFile(path="path_to/array.npz", key="k"))

cfg.k   # np.ndarray[np.float32]

cfg.dump("path_to_dump_dir", "object_id")
cfg.load("path_to_dump_dir", "object_id")

NumpyModel.load requires the original model:

MyNumpyModel.load(

FAQs

What is pydantic_numpy?

Pydantic Model integration of the NumPy array. Visit Snyk Advisor to see a full health score report for pydantic_numpy, including popularity, security, maintenance & community analysis.

Is pydantic_numpy popular?

The python package pydantic_numpy receives a total of 5,988 weekly downloads. As such, pydantic_numpy popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is pydantic_numpy well maintained?

We found that pydantic_numpy demonstrated a healthy version release cadence and project activity. It has a community of 3 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is pydantic_numpy safe to use?

The python package pydantic_numpy was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 23 November-2024, at 00:46 (UTC).

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pydantic_numpy

Pydantic Model integration of the NumPy array For more information about how to use this package see README

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Readme

pydantic-numpy

Usage

Examples

FAQs

What is pydantic_numpy?

Is pydantic_numpy popular?

Is pydantic_numpy well maintained?

Is pydantic_numpy safe to use?

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Package Health Score

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Readme

pydantic-numpy

Usage

Examples

FAQs

What is pydantic_numpy?

Is pydantic_numpy popular?

Is pydantic_numpy well maintained?

Is pydantic_numpy safe to use?

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Scan your app for vulnerabilities

Source Code

Open Source

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Config

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