Streamlit

Streamlit is an open-source Python framework that lets data scientists and AI/ML engineers build interactive data apps. It lets you publish web apps straight from your data script with just a few lines of code, even if you don't know anything about front-end programming.

Streamlit is based on three core ideas:

• Embrace Scripting: Write an app in a few lines of code with a simple API and see it update automatically as you save the source file.
• Weave in Interaction: Add widgets with the same simplicity as declaring a variable, without worrying about backends, routes or HTTP requests.
• Deploy Instantly: Share, manage and deploy your apps with a single click and for free, right from Streamlit.

The framework encompasses a broad range of categories, including data visualization, geography, sports, science, NLP, finance, and more. You can deploy apps immediately, either locally or through Streamlit's Community Cloud, which offers code editing, sharing and deployment features.

Streamlit works with a variety of tools and libraries, like Pandas and Vega-Lite, and you can write your own components to extend its abilities. That means you can incorporate your own tools and share them with the community.

Many developers and data scientists have found Streamlit to be a productivity boost in their workflow, saying it's easy to use, flexible and fast at producing production-level code and interactive models.

Streamlit is a free, open-source tool for building and publishing data apps, so it's available to a broad audience. Its ease of use, fast deployment and powerful abilities have made it a favorite among data pros trying to share and present their work more easily.

Published on June 29, 2024