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wtf is numpy-doc?

pv/numpy-doc — explained in plain English

Analysis updated 2026-08-13 · repo last pushed 2021-06-21

Audience · developerComplexity · 1/5DormantSetup · easy

TL;DR

An archive of published documentation for every past version of NumPy, letting you browse reference materials for specific older releases of the popular Python numerical computing library.

Mindmap

mindmap
  root((repo))
    What it does
      Static doc archive
      Versioned folders
      Browsable snapshots
    Tech stack
      Static HTML
      NumPy docs
      Manual build
    Use cases
      Lookup old functions
      Maintain legacy code
      Verify past API
    Audience
      Data scientists
      Legacy maintainers
      Developers

Code map

Detail Auto

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filefunction / class

Why would anyone build with this?

REASON 1

Look up how a NumPy function worked in a specific older release when maintaining legacy scientific code.

REASON 2

Browse archived documentation snapshots to verify the exact arguments a function accepted in a past version.

REASON 3

Compare how NumPy APIs changed across multiple versions by navigating the versioned folders.

What's in the stack?

HTMLStatic Site

How it stacks up

pv/numpy-doc000madz000/rfid-attendance00kaku/gallery-slider-block
LanguageTypeScriptJavaScript
Last pushed2021-06-212024-07-222021-05-19
MaintenanceDormantDormantDormant
Setup difficultyeasyeasyeasy
Complexity1/52/52/5
Audiencedeveloperdevelopergeneral

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · easy Time to first run · 5min

It is a static archive of web pages, just clone and open index.html in a browser to browse.

The explanation does not specify a license for this repository.

Wtf does this do

This repository stores the published documentation for every past version of NumPy, the widely used Python library for numerical computing. The benefit is straightforward: when someone needs to look up how a function worked in an older release of NumPy, the docs for that specific version are archived here and available to browse. The repo is essentially a collection of static web pages organized into folders by version number. When a new NumPy release comes out, a maintainer generates the documentation files from the source code, places them into a new folder named after the release (like 1.18), and updates a central index.html page to include a link to the new set of pages. The end result is a browsable archive of documentation snapshots spanning multiple years of releases. The primary audience is developers and data scientists who are working with older codebases that depend on a specific version of NumPy. For example, if you are maintaining a scientific application built on NumPy 1.18 and need to verify the exact arguments a function accepted at that time, you would visit the archive to find the docs matching your version rather than the current ones, which might reflect newer changes or removed features. The project is purely an archive, not a tool or application. It does not contain the NumPy software itself, just the reference materials. The README doesn't go into detail about how the documentation generation process works beyond pointing to a separate build guide, but the workflow described is a manual process where maintainers build the docs locally and then commit the results to preserve them.

Yoink these prompts

Prompt 1
I'm working with a codebase that depends on NumPy 1.18. Find the archived documentation for NumPy 1.18 and tell me the exact arguments that np.concatenate accepted in that version.
Prompt 2
Browse the archived NumPy docs for version 1.16 and explain how np.random.seed worked back then compared to the current NumPy release.
Prompt 3
Look through the documentation folders in this archive and list all the NumPy versions that have archived docs available, then check if np.histogram signature changed between two of those versions.

Frequently asked questions

wtf is numpy-doc?

An archive of published documentation for every past version of NumPy, letting you browse reference materials for specific older releases of the popular Python numerical computing library.

Is numpy-doc actively maintained?

Dormant — no commits in 2+ years (last push 2021-06-21).

What license does numpy-doc use?

The explanation does not specify a license for this repository.

How hard is numpy-doc to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is numpy-doc for?

Mainly developer.

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