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 6.5K GitHub stars and 554 GitHub forks. Here’s a link to Streamlit's open source repository on GitHub
Who uses Streamlit?
5 developers on StackShare have stated that they use Streamlit.
Python, PyTorch, Altair GraphQL, Plotly, and Matplotlib are some of the popular tools that integrate with Streamlit. Here's a list of all 10 tools that integrate with Streamlit.
Why developers like Streamlit?
Here’s a list of reasons why companies and developers use Streamlit
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- 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
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.