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A Python app framework built specifically for Machine Learning and Data Science teams
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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 32.7K GitHub stars and 2.9K GitHub forks. Here’s a link to Streamlit's open source repository on GitHub

Who uses Streamlit?

24 companies reportedly use Streamlit in their tech stacks, including Shelf, technology, and BlaBlaCar.

210 developers on StackShare have stated that they use Streamlit.

Streamlit Integrations

Python, TensorFlow, NumPy, Pandas, and PyTorch are some of the popular tools that integrate with Streamlit. Here's a list of all 15 tools that integrate with Streamlit.
Pros of Streamlit
Fast development
Fast development and apprenticeship
Decisions about Streamlit

Here are some stack decisions, common use cases and reviews by companies and developers who chose Streamlit in their tech stack.

Needs advice

I want to build simple and beautiful web apps quickly. Mostly data visualizations, but also some simple user interaction sites. I like Streamlit's design. Is there anything else I need to consider? Any other popular alternative in Python?

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We have a python app currently built with Streamlit.

In order to deliver this to customers, we need to shield the codebase and make it executable (for both macOS and Windows users).

Does anyone have any advice on bundling a Python app into an executable?

All we're hoping to do is package the Streamlit app into .exe or something similar.

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Streamlit's Features

  • 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?
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.
It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.
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.
See all alternatives

Streamlit's Followers
390 developers follow Streamlit to keep up with related blogs and decisions.