pandas

pandas is a fast, powerful, flexible, and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. It is a Python library that provides DataFrame and Series data structures and analysis tools; pandas itself does not expose an HTTP API, but is widely used to build data APIs alongside frameworks like FastAPI and Flask.

pandas is profiled on the APIs.io network. Tagged areas include Data Analysis, Data Science, Library, Open Source, and Python.

pandas’ developer surface includes documentation, getting-started guide, and 5 more developer resources.

🌐 Visit website 📡 Source on GitHub

12.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

Data AnalysisData ScienceLibraryOpen SourcePython

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 12.2/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 4.8 / 20

Commercial Clarity 0.0 / 20

Operational Transparency 0.7 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

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 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/pandas: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

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

Community

Community

Company 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

PyPI

PyPI

Source (apis.yml)

aid: pandas
name: pandas
description: pandas is a fast, powerful, flexible, and easy to use open source data analysis and manipulation tool, built
  on top of the Python programming language. It is a Python library that provides DataFrame and Series data structures and
  analysis tools; pandas itself does not expose an HTTP API, but is widely used to build data APIs alongside frameworks like
  FastAPI and Flask.
type: Index
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/pandas.png
tags:
- Data Analysis
- Data Science
- Library
- Open Source
- Python
url: https://raw.githubusercontent.com/api-evangelist/pandas/refs/heads/main/apis.yml
created: '2026-03-16'
modified: '2026-04-28'
specificationVersion: '0.19'
apis: []
common:
- type: DomainSecurity
  url: security/pandas-domain-security.yml
- type: Website
  url: https://pandas.pydata.org/
- type: Documentation
  url: https://pandas.pydata.org/docs/
- type: GettingStarted
  url: https://pandas.pydata.org/docs/getting_started/index.html
- type: GitHubOrganization
  url: https://github.com/pandas-dev/pandas
- type: Community
  url: https://pandas.pydata.org/community/
- type: PyPI
  url: https://pypi.org/project/pandas/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com