6th October 2019 - Link Blog
Streamlit: Turn Python Scripts into Beautiful ML Tools (via) A really interesting new tool / application development framework. Streamlit is designed to help machine learning engineers build usable web frontends for their work. It does this by providing a simple, productive Python environment which lets you declaratively build up a sort-of Notebook style interface for your code. It includes the ability to insert a DataFrame, geospatial map rendering, chart or image into the application with a single Python function call. It’s hard to describe how it works, but the tutorial and demo worked really well for me: “pip install streamlit” and then “streamlit hello” to get a full-featured demo in a browser, then you can run through the tutorial to start building a real interactive application in a few dozen lines of code.
Recent articles
- DeepSeek V4 - almost on the frontier, a fraction of the price - 24th April 2026
- Extract PDF text in your browser with LiteParse for the web - 23rd April 2026
- A pelican for GPT-5.5 via the semi-official Codex backdoor API - 23rd April 2026