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 ↗
Evidence checked:
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.
How we review →