# 3b1b/videos

Code for the manim-generated scenes used in 3blue1brown videos

Repository: https://github.com/3b1b/videos
Canonical: https://ross.abutalabs.com/products/videos
Language: Python
License: NOASSERTION
License Family: other
Last push: 2026-08-25T16:43:35+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 2071, "days_push": 8, "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 11149, forks 2081 (observed 2026-08-28T04:10:46.239530+00:00)

## What it is
The source code for the animated scenes used in 3Blue1Brown's math explainer videos, built on the Manim animation library. It serves as a large collection of real-world examples for learning how to create mathematical animations with Manim.

## Use cases
- learn how to write manim animations from real examples
- study how 3blue1brown videos are made
- find example scenes for math visualizations
- adapt manim scene code for my own explainer videos
- understand interactive manim workflow with checkpoint_paste

## When to choose
- you want real-world Manim examples from a master practitioner
- you're learning mathematical animation with manimgl
- you want to study the workflow behind 3Blue1Brown videos

## When to avoid
- you need a reusable animation library - use 3b1b/manim or ManimCommunity instead
- you need permissively licensed code - content is CC BY-NC-SA
- you expect all scenes to run on current Manim versions - older projects may break

## Facets
- artifact type: learning-resource
- maturity: active
- function: animation, graphics, data-visualization
- domain: education, mathematics, data-visualization
- platform: python, cross-platform
- tags: manim, 3blue1brown, math-videos, educational-content, scene-code

## Member repositories
- 3b1b/videos (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:46.239530+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 2026-08-29T17:16:45.183624+00:00, confidence not recorded.
  - readme: https://github.com/3b1b/videos (fetched 2026-08-28T04:10:46.239530+00:00, sha a84a8cab5666)
- Data as of 2026-08-30T08:39:29.467469+00:00.