NumPy

The fundamental package for scientific computing with Python. NumPy provides multi-dimensional array objects, various derived objects, and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, FFT, and random number generation.

NumPy publishes 1 API on the APIs.io network. Tagged areas include Data Science, Machine Learning, Numerical Analysis, Open Source, and Python Library.

NumPy’s developer surface includes documentation, changelog, and 3 more developer resources.

🌐 Visit website 📡 Source on GitHub

22.4/100 emerging ▬ flat Agent 3/100 human only Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1

AccessFreemium

1 APIs

Data ScienceMachine LearningNumerical AnalysisOpen SourcePython LibraryScientific Computing

Kin Score

Kin Score How this is scored →
scored 2026-08-05 · rubric v0.9.1

Composite quality — 22.4/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 1.7 / 20

Commercial Clarity 7.9 / 20

Operational Transparency 6.8 / 13

Governance 0.0 / 12

Discoverability 5.9 / 10

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

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APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

NumPy API

Core numerical computing library for Python providing multi-dimensional arrays and mathematical functions.

Pricing Plans 1

Published pricing tiers and plan structures.

Numpy Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Numpy Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: numpy
name: NumPy
description: The fundamental package for scientific computing with Python. NumPy provides multi-dimensional array objects,
  various derived objects, and an assortment of routines for fast operations on arrays, including mathematical, logical, shape
  manipulation, sorting, selecting, I/O, FFT, and random number generation.
type: Index
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  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/numpy.png
tags:
- Data Science
- Machine Learning
- Numerical Analysis
- Open Source
- Python Library
- Scientific Computing
url: https://raw.githubusercontent.com/api-evangelist/numpy/refs/heads/main/apis.yml
created: '2024-01-01'
modified: '2026-04-28'
specificationVersion: '0.19'
apis:
- aid: numpy:numpy-api
  name: NumPy API
  description: Core numerical computing library for Python providing multi-dimensional arrays and mathematical functions.
  humanURL: https://numpy.org/doc/stable/reference/
  tags:
  - Arrays
  - Mathematics
  - Python
  - Scientific Computing
  properties:
  - type: Documentation
    url: https://numpy.org/doc/stable/
  - type: Reference
    url: https://numpy.org/doc/stable/reference/
  - type: GettingStarted
    url: https://numpy.org/doc/stable/user/quickstart.html
common:
- type: DomainSecurity
  url: security/numpy-domain-security.yml
- type: Website
  url: https://numpy.org/
- type: Documentation
  url: https://numpy.org/doc/stable/
- type: GitHubOrganization
  url: https://github.com/numpy
- type: ChangeLog
  url: https://numpy.org/doc/stable/release.html
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com