# WolframResearch/Arrival-Movie-Live-Coding

Documents from a live coding session by Christopher Wolfram related to content from the 2016 film Arrival

Repository: https://github.com/WolframResearch/Arrival-Movie-Live-Coding
Canonical: https://ross.abutalabs.com/products/arrival-movie-live-coding
Language: Mathematica
License: NOASSERTION
License Family: other
Topics: wolfram-language, movie, arrival, companion, livecoding
Last push: 2019-09-30T21:02:02+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3485, "days_push": 2529, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1156, forks 151 (observed 2026-08-28T04:03:48.082460+00:00)

## What it is
A collection of Wolfram Language notebooks from Christopher Wolfram's live coding session analyzing the alien logograms and content of the 2016 film Arrival. It serves as a companion to the session, letting users open, modify, and tinker with the movie-related analysis code.

## Use cases
- learn Wolfram Language through a real live coding example
- analyze and visualize the alien logograms from Arrival
- explore image feature detection and edge detection in Wolfram Language
- map and analyze alien landing site locations
- study cellular automata growth patterns based on logograms
- recreate the code behind the Arrival movie analysis

## When to choose
- you want a hands-on educational companion to the Arrival live coding video
- you use Mathematica or the Wolfram Cloud and want to tinker with movie-related analysis notebooks
- you are interested in image analysis, shape comparison, and visualization techniques in Wolfram Language

## When to avoid
- you do not have access to Mathematica or the Wolfram Cloud
- you need production-ready or maintained software rather than educational notebooks
- you require Wolfram Language versions earlier than 11.1

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: image-processing, computer-vision, data-visualization, nlp
- domain: tutorials, computer-vision, image-processing, entertainment
- platform: python, cross-platform
- tags: wolfram-language, notebooks, live-coding, arrival-movie, logograms, companion-material, desktop

## Member repositories
- WolframResearch/Arrival-Movie-Live-Coding (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:48.082460+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 2026-08-30T06:32:06.853930+00:00, confidence not recorded.
  - readme: https://github.com/WolframResearch/Arrival-Movie-Live-Coding (fetched 2026-08-28T04:03:48.082460+00:00, sha 13e9928a770e)
- Data as of 2026-08-30T08:39:29.467469+00:00.