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Streamlit-Apps

A collection of various Streamlit web dashboards created to learn the framework.

Streamlit-Apps

  • clt_app: A demonstration of the Central Limit Theorem using randomly generated data samples.

     streamlit run "streamlit_apps\clt_app\clt_demo.py"
    
  • penguin_app: An interactive scatterplot of an Arctic penguins dataset.

     streamlit run "streamlit_apps\penguin_app\penguins.py"
    
  • trees_app: Data vizualization for data collected about every tree planted and maintained in the city of San Francisco.

     # Main app using Streamlit built-in data vizualization:
     streamlit run "streamlit_apps\trees_app\trees.py"
    
    
     # Example using Altair library:
     streamlit run "streamlit_apps\trees_app\trees_altair.py"
    
    
     # Example using Bokeh library:
     streamlit run "streamlit_apps\trees_app\trees_bokeh.py"
    
    
     # Example using matplotlib and seaborn libraries:
     streamlit run "streamlit_apps\trees_app\trees_matplotlib_seaborn.py"
    
    
     # Example using Plotly library:
     streamlit run "streamlit_apps\trees_app\trees_plotly.py"
    
  • penguins_ml: A demo of using Streamlit to leverage machine learning models to predict the species of penguins.

     streamlit run "streamlit_apps\penguins_ml\penguins_streamlit.py"