Tier 2
Build Python data and automation workflows with AI
Orbit executes Python directly in sandboxes for data analysis, automation, and scripts — and standardizes Python web-app requests to the React stack, with Supabase as the data layer.
Python AI Builder
Python on Orbit splits in two: for scripts and analysis, code_execute runs Python in the sandbox with notebook-style outputs; for Python web apps, Orbit builds the React + Supabase equivalent and tells you so.
In plain English
Python is the go-to for data and automation. Orbit runs Python directly in sandboxes for analysis, and rebuilds Python web apps on its verified web stack.
How it works in Orbit
Python powers data tools, AI apps, and backend services. On Orbit, Python-style products — data dashboards, AI-powered tools, analytical apps — are built with a React frontend backed by Supabase edge functions.
Python use cases, web delivery
The products people build in Python — analytics dashboards, data tools, AI assistants — need a web interface. Orbit generates the frontend and the data layer, with edge functions for server logic.
- Data dashboards and charts
- AI assistant interfaces
- Edge functions for logic
AI apps with real backends
Pair a Python-style AI product with Supabase for history, prompts, and results storage. Orbit provisions the tables your AI features need.
- Prompt + result storage
- Conversation history tables
- Scored/ranked data
Where Python still wins
Orbit isn't a Python runtime — heavy ML pipelines stay in your Python infrastructure, while the user-facing app is a fast web product talking to it.
- ML stays in Python
- App talks via API
- Best of both worlds
Describe the data tool
The dashboards and analysis you want.
Build the web app
Orbit generates the React frontend + backend.
Connect Python
Point the app at your Python/ML services.
Ship
Deploy the full product.
The challenge
Try it yourself
Run this one on a competitor first — then on Orbit. Same prompt, and keep score.
Build
Try this one elsewhere first.
Run the same data analysis on two tools and compare the outputs, charts, and whether the code actually ran in a real environment.
Research
Ask a research tool to go deep on one topic.
Then ask Orbit. Compare how many rounds it runs, how many sources it actually reads — we target 65+ — and whether every claim in the final report has a link attached. Bring a bigger coffee mug.
Chat
Ask a plain chatbot the same question.
One just talks. Orbit's agent actually searches the web, runs code, reads your files, and comes back with something done. Compare how many tabs you opened and how many are still open when you're finished.
Image & video
Generate the same image, then edit it.
Ask two tools for the same hero shot, then ask both to recolor it, fill in the background, and animate it. Compare who hands you a first draft and who keeps refining in the same conversation.
150+
models routed per task
1h
cloud sandbox sessions
25
tool calls per chat turn
8–14
deep research rounds
What you can do with Python AI Builder on Orbit
Strict TypeScript
Type-safe output verified with a real typecheck pass.
Runtime execution
Run scripts and analysis in sandboxes with notebook-style output.
Managed data layer
Supabase provides persistence when your app needs a backend.
Compare sibling stacks
TypeScript AI Builder
Orbit generates strict-mode TypeScript apps by default and verifies them with a real typecheck pass before the preview unlocks — no untyped AI output.
JavaScript AI Builder
Orbit generates JavaScript apps when you ask, though TypeScript is the default — with the same verified build pipeline either way.
Go AI Builder
Orbit standardizes Go web-service requests to its TypeScript + Supabase stack — same API outcomes, with auth, data, and functions managed by the platform.
Rust AI Builder
Orbit standardizes Rust-service requests to its TypeScript + Supabase stack — performance-minded outcomes with managed infrastructure.
Java AI Builder
Orbit standardizes Java-enterprise requests to its TypeScript + Supabase stack — the same business logic with zero Java toolchain in the build.
PHP AI Builder
Orbit standardizes PHP/LAMP-style requests to its React + Supabase stack — the same dynamic web app, modernized.
Explore more
TypeScript AI Builder
Orbit generates strict-mode TypeScript apps by default and verifies them with a real typecheck pass before the preview unlocks — no untyped AI output.
JavaScript AI Builder
Orbit generates JavaScript apps when you ask, though TypeScript is the default — with the same verified build pipeline either way.
Go AI Builder
Orbit standardizes Go web-service requests to its TypeScript + Supabase stack — same API outcomes, with auth, data, and functions managed by the platform.
Rust AI Builder
Orbit standardizes Rust-service requests to its TypeScript + Supabase stack — performance-minded outcomes with managed infrastructure.
Java AI Builder
Orbit standardizes Java-enterprise requests to its TypeScript + Supabase stack — the same business logic with zero Java toolchain in the build.
PHP AI Builder
Orbit standardizes PHP/LAMP-style requests to its React + Supabase stack — the same dynamic web app, modernized.
Frequently asked questions
Can Orbit run Python?
Yes — code_execute runs Python in the sandbox for analysis, automation, and prototypes, with Jupyter-style image outputs captured as artifacts.
Can Orbit run Python code?
Orbit's runtime is JavaScript/TypeScript with Supabase edge functions. Python keeps running your ML and data infrastructure; the app Orbit builds talks to it over APIs.
Can Orbit build Python-style data tools on the web?
Yes — dashboards, data viewers, and AI apps with real backends are Orbit's target for Python specs. The frontend is React, but the workflow — query, visualize, and act on data — matches the Python tooling you're used to.