What you can build with it

Purpose and audience

The pipeline develops a learning brief, mathematics, visual plan and Manim scene, then reviews the rendered result.

Evidence 1 ↗

How Jev fits

Jev evaluates candidate artifacts and Astra's text audits through typed Score, Noul and Choice answers; it does not receive the images.

Evidence 1 ↗

Using the project

The documented workflow uses Codex login, TYPESAFE_API_KEY, Python, Node.js, Manim dependencies, FFmpeg and LaTeX.

Evidence 1 ↗

Scope and limits

Jev review is advisory unless gated mode is selected and is not a mathematical proof. Local rendering does not sandbox arbitrary Python.

Evidence 1 ↗ · Evidence 2 ↗ · Evidence 3 ↗

Repository description

Create Epic Math and Physics Animations & Study Notes From Text and Images.

Project facts

Relationship to Jev
Jev application
Evidence
Documented
Language
Python
License
MIT
Origin
Original repository
Repository status
Not archived
Created
2025-01-20
Last code update
2026-09-25
GitHub stars
2,669
Evidence checked
Sep 30, 2026
Metadata checked
Sep 28, 2026
Check status
Up to date

Stars measure the whole repository, including work unrelated to Jev.

Evidence and scope

Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.

Evidence commit: 5e5f370e9f7d2f753463ba599bf6986ac9b2607d

Discovered through: github-search.

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