# barbagroup/AeroPython

Classical Aerodynamics of potential flow using Python and Jupyter Notebooks

Repository: https://github.com/barbagroup/AeroPython
Canonical: https://ross.abutalabs.com/products/aeropython
Homepage: http://lorenabarba.com/
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Topics: jupyter-notebook, aerodynamics, python, engineering, fluid-mechanics
Last push: 2025-05-21T22:43:55+00:00

## Health v2 (maintenance only)
Score: 33/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 22, release rhythm 8, longevity 100
- inputs: {"age_days": 4607, "days_push": 469, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1013, forks 534 (observed 2026-08-28T04:03:13.518085+00:00)

## What it is
AeroPython is a series of Jupyter Notebook lessons teaching classical aerodynamics of potential flow, developed as the core of a university course by Prof. Lorena Barba at George Washington University. It covers sources, sinks, doublets, vortices, and lift through interactive Python-based lessons with student assignments.

## Use cases
- learn potential flow aerodynamics with Python
- university course materials for fluid mechanics
- interactive Jupyter notebooks for aerodynamics
- teach vortex and lift theory computationally
- self-study classical hydrodynamics
- engineering course assignments on source distributions

## When to choose
- you want to learn or teach potential flow theory with hands-on Python code
- you need open, citable university-level aerodynamics course materials
- you prefer interactive Jupyter notebooks over textbooks

## When to avoid
- you need CFD with viscous or turbulent flow simulation
- you want production aerodynamics software rather than educational materials
- you need a maintained library with an API

## Facets
- artifact type: learning-resource
- maturity: stable
- function: data-visualization, simulation, developer-tools
- domain: education, simulation, tutorials
- platform: python, cross-platform
- tags: jupyter-notebooks, aerodynamics, fluid-mechanics, potential-flow, engineering-education, numerical-methods, physics

## Member repositories
- barbagroup/AeroPython (main) score 33

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:13.518085+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:11:38.533482+00:00, confidence not recorded.
  - readme: https://github.com/barbagroup/AeroPython (fetched 2026-08-28T04:03:13.518085+00:00, sha d5cdf83b4b79)
  - homepage: http://lorenabarba.com/ (fetched 2026-08-29T13:11:15.661612+00:00, sha bb933f0b1e54)
  - site_page: https://lorenabarba.com/blog/barba-group-website-rebuilt-with-ai-and-a-lesson-about-ownership (fetched 2026-08-29T13:11:15.664278+00:00, sha 3a6e18abecdb)
- Data as of 2026-08-30T08:39:29.467469+00:00.