Setup eats the motivation.
Python environments, FFmpeg, Cairo, LaTeX, dvisvgm, and PATH errors can turn a simple scene into a dependency scavenger hunt.
Open-source Manim CE studio
Build Manim CE animations without losing the afternoon to your toolchain.
Manim Composer puts Python editing, scene discovery, LaTeX previews, live render logs, and video output in one focused browser workspace. The full stack is MIT-licensed and public — clone it, read every layer, and run it on your own machine.
- 2 sec
- Auto-render debounce after typing stops
- 3 presets
- Eco, balanced, and workstation profiles
- 1 flow
- Code, math, logs, assets, and video preview
from manim import *
class EulersIdentity(Scene):
def construct(self):
eq = MathTex(
r"e^{i\pi}+1=0",
font_size=92
)
box = SurroundingRectangle(eq)
self.play(Write(eq))
self.play(Create(box))
Open source
MIT licensed
For educators
For math YouTubers
For researchers
For students
What is Manim Composer?
Manim Composer is a free, open-source, local-first browser IDE for Manim Community Edition (Manim CE). It puts Python scene editing, LaTeX math previews, live render logs, and video review in one workspace you run on your own machine — not a hosted cloud service.
The hidden tax
Manim is powerful. The workflow around it can be punishing.
The best explainers are built through tiny visual decisions: timing, spacing, equation shape, camera motion. Traditional terminal loops make every one of those decisions expensive.
The feedback loop is too slow.
Saving, switching windows, re-running commands, scanning output, and opening the video again breaks the moment when the idea is still warm.
LaTeX failures feel opaque.
Math is the reason you reached for Manim. It should not become the place where students and creators get stuck first.
Scenes disappear inside files.
When projects grow, it becomes harder to remember which class lives where, which output belongs to which scene, and which assets are safe to reuse.
Hardware sits underused.
Render settings are often chosen by habit. Manim Composer profiles the machine and recommends a practical preview quality before you waste cycles.
Put the whole render loop where your attention already is.
A browser workspace makes Manim feel like an instrument again: visible, interruptible, and fast enough to keep exploring.
Workspace anatomy
A complete Manim desk, not a pretty wrapper around a terminal.
Every panel exists because it removes a real interruption: Monaco for code, AST scene detection for navigation, KaTeX for formula drafting, WebSocket logs for confidence, and file tools for keeping the project legible.
- Write scenes in a real editor with Python-focused ergonomics.
- Preview common equations before inserting MathTex blocks.
- Watch render progress and compiler output stream in real time.
- Manage scripts, uploads, and rendered media from one sidebar.
Scene Code
Monaco editor, snippets, inline save, scene class discovery.
LaTeX Sandbox
Preview equations in the browser before committing them to Python.
Live Compiler
WebSocket progress, stdout, stderr, cancellation, and file-ready events.
Video Review
Open the latest render immediately and keep iterating.
What ships in the box
Purpose-built controls for the parts of Manim that usually slow people down.
01 / Live render loop
Auto-render after you stop typing.
Turn on debounced rendering and Manim Composer compiles the active scene after a short pause. The result: fewer context switches, more visual iteration.
02 / Diagnostics
Render presets based on the machine in front of you.
CPU cores, RAM, GPU availability, FFmpeg, Manim, LaTeX, and dvisvgm checks feed practical profiles for eco previews, balanced drafts, or workstation output.
03 / LaTeX relief
Draft formulas before the compiler gets involved.
The KaTeX sandbox lets you test common equation structures, then insert clean MathTex code when the formula is ready.
04 / Local files
Scripts, assets, and rendered videos stay visible.
Create scripts, rename files inline, upload media assets, and review rendered outputs without spelunking through generated folders.
05 / Render control
Start, cancel, inspect, and recover.
WebSocket render sessions stream progress and logs while cancellation terminates the render process tree cleanly on Windows.
Before and after
The same Manim power, with fewer places to trip.
Manim Composer does not hide Python or dilute Manim. It keeps the underlying engine intact while making the creative surface humane.
Task
Terminal-only workflow
Manim Composer
Find scenes
Read files manually
Scene classes detected from AST
Preview math
Compile and hope
Draft in the LaTeX sandbox first
Watch progress
Scan terminal noise
Structured logs, progress, and result events
Tune quality
Remember CLI flags
Choose from hardware-aware presets
Manage outputs
Open generated folders
Rendered videos appear in the workspace
The loop
From blank scene to finished explainer in one deliberate rhythm.
Sketch The Motion
Start from a script or snippet, name the scene, and keep the first version intentionally small.
Shape The Math
Test equations in the sandbox, insert the MathTex, and keep visual syntax clean.
Render A Draft
Use eco or balanced quality to confirm timing before asking the machine for polished output.
Read The Signals
Progress, stdout, stderr, dependency checks, and file-ready messages tell you what happened.
Ship The Scene
Switch to a higher-quality profile, render the final pass, and review the video from the same workspace.
Who feels the difference
Built for people who teach ideas with motion.
Whether you are preparing a lecture, a YouTube explainer, a technical demo, or a research visualization, the job is the same: make abstraction visible before the deadline catches you.
Educators
Spend class prep on the explanation, not the setup guide students will forget by week two.
Creators
Iterate on timing, camera moves, and equation reveals while the visual idea is still clear.
Researchers
Prototype visual arguments quickly, then render clean assets for talks and papers.
Students
Learn Manim’s scene model with fewer environment failures blocking the first success.
Open by design
Your animation toolchain should not be a black box either.
Manim Composer is fully open source under the MIT license. The FastAPI backend, React frontend, and workspace tooling live in one public repository — no hidden services, no vendor lock-in, no mystery about what runs when you hit render.
- MIT licensed — use, modify, and ship freely.
- Full stack on GitHub — backend, frontend, and workspace.
- Local-first — your scenes and renders stay on your machine.
- Community-ready — fork it, file issues, send pull requests.
Created and maintained by Birol.
Questions
Clear answers before the first render.
Manim Composer is open source, runs locally on your machine, and is designed to make the Manim workflow easier — not replace Manim CE.
Manim Composer is a free, open-source browser IDE for Manim Community Edition. It wraps real Manim CE rendering in a local web workspace with a Python editor, LaTeX sandbox, live logs, and video preview — so you edit, render, and review without leaving one screen.
Clone the Manim-Fullstack repository, run pip install -r backend/requirements.txt, start the backend with python backend/main.py, then in frontend/ run npm install and npm run dev. You will also need Manim CE, FFmpeg, and LaTeX installed locally.
Yes. The backend supervises Manim CE subprocesses, streams logs, and returns rendered media. Your scenes remain Python Manim scenes.
Python, Node.js, Manim CE, FFmpeg, and LaTeX for full equation rendering. Diagnostics make missing pieces visible, and Windows users can trigger a MiKTeX install flow.
Both. Beginners get fewer setup obstacles. Experienced users get a faster edit-render-review loop without giving up Python control.
Yes. The project is MIT-licensed and hosted at github.com/birol-dev/Manim-Fullstack. You can read the full codebase, run it locally, fork it for your own workflow, and contribute back through issues or pull requests.
No hosted service — you clone the repo and run it yourself. React serves the UI in your browser, FastAPI runs on your machine, and rendered media stays in your local workspace.