What is Streamlit?
It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.
Streamlit is a tool in the Machine Learning Tools category of a tech stack.
Streamlit is an open source tool with 16.2K GitHub stars and 1.4K GitHub forks. Here’s a link to Streamlit's open source repository on GitHub
Who uses Streamlit?
4 companies reportedly use Streamlit in their tech stacks, including LMS, Melio Consulting, and isaac.
66 developers on StackShare have stated that they use Streamlit.
Python, TensorFlow, Pandas, PyTorch, and Keras are some of the popular tools that integrate with Streamlit. Here's a list of all 11 tools that integrate with Streamlit.
Pros of Streamlit
- Free and open source
- Build apps in a dozen lines of Python with a simple API
- No callbacks
- No hidden state
- Works with TensorFlow, Keras, PyTorch, Pandas, Numpy, Matplotlib, Seaborn, Altair, Plotly, Bokeh, Vega-Lite, and more
Streamlit Alternatives & Comparisons
What are some alternatives to Streamlit?
See all alternatives
Dash is an API Documentation Browser and Code Snippet Manager. Dash stores snippets of code and instantly searches offline documentation sets for 150+ APIs. You can even generate your own docsets or request docsets to be included.
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Flask is intended for getting started very quickly and was developed with best intentions in mind.
Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.