A Streamlit alternative that does not need Python
A Streamlit alternative suits people whose work is not in Python: Streamlit wraps a Python script in a web interface and needs a server running it, and this generates a static app from a description that reads live data in the browser, so there is no process to keep alive.
Streamlit is an excellent way to put a user interface on a Python script, and if your work already lives in Python it is hard to beat for a quick internal tool.
Start from a working app
HyperBoard: Crypto Market Dashboard
prices, funding rates, open interest and liquidity across crypto perpetual markets, in three live tabs.
Open the template
A server process against a static bundle
A Streamlit app is a Python process that has to be running for anyone to see the page. That is fine on a laptop and becomes a hosting question the moment you want to share it. A static bundle has no process, so sharing it is a URL.
What you give up, honestly
Streamlit sits directly on top of the Python data stack, so a dataframe, a model or a notebook is one import away. If your work already lives there, that proximity is the whole point and nothing here replaces it.
What you get instead
An app generated from a description, hosted, with code you can export, reading live market data from public endpoints that need no key. For a dashboard whose job is to show what a market is doing right now, that is the shorter path. The figures below came from one of those endpoints.
Who should not switch
If the app's purpose is to display the output of Python you have already written, keep using Streamlit. This is for the case where the data comes from an API rather than from your own analysis.
Live, right now, on this page
| Market | Price | Funding | 24h volume |
|---|---|---|---|
| BTC | $83,703.50 | 0.0013% | $344,447,532 |
| ETH | $2,687.35 | 0.0013% | $274,277,015 |
| SOL | $119.18 | 0.0007% | $84,823,612 |
| HYPE | $86.76 | 0.0013% | $3,054,440 |
Live market data, read at render from a keyless public endpoint. The same one a generated app here would call. Read at 2026-09-30 11:12 UTC; accurate as of that time and not afterwards.
Start from a working app
Open, change it, publish your own
OddsBoard
a live visualiser of Polymarket and Kalshi prediction markets, in six views.
Open the template
Working templates built around what this page covers. Open one, change it, and publish your own.
- HyperBoard: Crypto Market Dashboard
prices, funding rates, open interest and liquidity across crypto perpetual markets, in three live tabs.
- Helix
a live trading terminal with a candlestick chart, a watchlist, an order ticket and open positions with live PnL.
- OddsBoard
a live visualiser of Polymarket and Kalshi prediction markets, in six views.
Common questions
Do I need to know Python to use this?
No. You describe what the app should do and get a running app back. The generated code is JavaScript and React rather than Python, and you can export and edit it, but you do not need to write either to get something working.
Does the app need a server running?
No. What is published is a static bundle that fetches live data from the browser, so there is no process to keep alive and no server to pay for. That is the main structural difference from a Streamlit deployment.
Can it show my own data?
It can call any public API. What it cannot do is sit on top of a local dataframe or a model in your Python environment the way Streamlit does, which is the honest limit of the comparison.
Related reading
All guides · Live market pages · Components · Make Mithril a preferred source in Google