A new way to add and share custom functionality for Streamlit apps — In the ten months since Streamlit was released, the community has created over 250,000 apps for everything from analyzing soccer games to measuring organoids, and from COVID-19 tracking to zero-shot topic classification. Inspired by your creativity, we added file uploaders, color pickers, date ranges, and other features. But as…

Developing new superpowers for the data science community. In 2018, we began building the tools to visualize Python scripts that became Streamlit. By then, Python was the preeminent language of machine learning, bristling with powerful libraries like Keras and OpenCV. Python made it easy to analyze rich datasets and train…

We’ll show you how to quickly build a Streamlit app to synthesize celebrity faces using GANs, Tensorflow, and st.cache. — Machine learning models are black boxes. Yes, you can run them on test sets and plot fancy performance curves, but it’s still often hard to answer basic questions about how they perform. A surprisingly powerful source of insight is simply to play with your models! Tweak inputs. Watch outputs. Let…

Introducing Streamlit, an app framework built for ML engineers — In my experience, every nontrivial machine learning project is eventually stitched together with bug-ridden and unmaintainable internal tools. …