</>PackageGraphPackageGraph

numpy

PyPIv2.5.3

Fundamental package for array computing in Python

Not recommended for new projects

No — numpy 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 3 days ago. 28 releases in the last 2 years.

  • AWeight: grade A, Excellent.

    Zero runtime dependencies, about 16 MB installed.

  • BSupply chain: grade B, Good.

    This package has a single maintainer (bus factor of 1).

  • 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 numpy to a project.

0
Direct dependencies

Runtime packages this one declares itself.

0
Total installed

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

16 MB
Install size

Unpacked size of this package plus its entire runtime tree.

—
Tree depth

Longest resolved dependency chain below this package.

Compatibility

Python
python >=3.12

Used by

Popular packages that depend on numpy.

scikit-learnPyPI

A set of python modules for machine learning and data mining

↓ 0/wk◈ 0 dependents
tensorflowPyPI

TensorFlow is an open source machine learning framework for everyone.

↓ 0/wk◈ 0 dependents⚖ Apache 2.0
transformersPyPI

Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

↓ 0/wk◈ 0 dependents⚖ Apache 2.0 License
kerasPyPI

Multi-backend Keras

↓ 0/wk◈ 1 dependents⚖ Apache License 2.0
h5pyPyPI

Read and write HDF5 files from Python

↓ 0/wk◈ 2 dependents
ml-dtypesPyPI

ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning.

↓ 0/wk◈ 1 dependents

Relationship graph

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

scikit-learntensorflowtransformerskerash5pyml-dtypesnumpy
numpy dependencies dependents

Frequently installed together

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typerPyPI

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safetensorsPyPI

No description provided.

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tokenizersPyPI

No description provided.

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absl-pyPyPI

Abseil Python Common Libraries, see https://github.com/abseil/abseil-py.

↓ 0/wk◈ 2 dependents
h5pyPyPI

Read and write HDF5 files from Python

↓ 0/wk◈ 2 dependents
richPyPI

Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal

↓ 0/wk◈ 2 dependents⚖ MIT
ml-dtypesPyPI

ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning.

↓ 0/wk◈ 1 dependents
namexPyPI

A simple utility to separate the implementation of your Python package and its public API surface.

↓ 0/wk◈ 1 dependents

Release history

26 releases in the last two years, typically about 21 days apart.

Recent versions of numpy
VersionPublishedSizeLicense
2.5.3latest3 days ago16 MB—
2.5.21 month ago16 MB—
2.5.12 months ago16 MB—
2.5.02 months ago16 MB—
2.5.0rc13 months ago16 MB—
2.4.63 months ago16 MB—
2.4.53 months ago16 MB—
2.4.45 months ago16 MB—
2.4.36 months ago16 MB—
2.4.27 months ago16 MB—
2.4.18 months ago16 MB—
2.4.08 months ago16 MB—
2.4.0rc19 months ago16 MB—
2.3.59 months ago16 MB—
2.3.410 months ago20 MB—

Overview

numpy is an PyPI package that fundamental package for array computing in Python. It has 6 known dependents in the graph. The latest version is 2.5.3.

Who should use it

Teams working in the PyPI ecosystem who need fundamental package for array computing in Python 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

  • Zero runtime dependencies — minimal footprint.

Cons

  • No license detected — review usage terms before adopting.

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

Maintainers

Travis E. Oliphant et al.

Frequently asked questions

Should I use numpy?

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

How do I install numpy?

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

What license is numpy released under?

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

How popular is numpy?

PyPI does not publish download counts. Within PackageGraph's crawl, 6 known packages depend on numpy.

Is numpy still maintained?

The most recent release of numpy (v2.5.3) was published 3 days ago.