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2 min with Fused

Quick ways to get started with Fused in Workbench.

Open a simple dataset​

@fused.udf
def udf(path = "s3://fused-sample/demo_data/housing/housing_2024.csv"):
    import pandas as pd
    housing = pd.read_csv(path)

Convert data quickly​

@fused.udf
def udf():
    import pandas as pd
    df = pd.read_excel("s3://fused-sample/demo_data/housing_2024.xlsx")
    df.to_parquet("s3://fused-sample/demo_data/housing_2024.parquet")
    
    return df

Turn any data into an API​

Turn any code into an API (similar to our Quickstart):

@fused.udf
def udf(path: str = "s3://fused-sample/demo_data/housing/housing_2024.csv"):
    import pandas as pd
    housing = pd.read_csv(path)
    housing['price_per_area'] = round(housing['price'] / housing['area'], 2)
    
    return housing[['price', 'price_per_area']]

Preview datasets​

Explore cloud storage directly in the File Explorer tab

Profile your code​

Workbench's built-in profiler provides:

  • Line by line runtime
  • Memory usage
  • Total runtime
  • Total file size

Vibe coding in Fused​

Simply ask AI to build something for you!

Deploy your UDF:

  • Save (Cmd + S on MacOS or click the "Save" button)
  • Click "URL" button to see deployed dashboard!

Watch our playlist of Vibe Coding for more examples!

Prompt Ideas​

If you already have some data:

Make an interactive graph of this data

Make an up to date dashboard from scratch:

Build a very simple Wildfire tracking app in HTML using real world data

Fun ideas:

I'm bored, make a simple game for me!

Learn more about using AI Assistant

Data First IDE: Table / Map view​

Workbench is built for data teams.

Toggle between Map/Table view based on your data!

Return HTML code & make a chart!​

You can return HTML code directly in Fused and turn your data into an embedded Chart:

@fused.udf
def udf(path = "s3://fused-sample/demo_data/housing/housing_2024.csv"):
    from fastapi import Response
    import pandas as pd
    import altair as alt
    
    housing = pd.read_csv(path)
    housing['price_per_area'] = round(housing['price'] / housing['area'], 2)
    
    chart_html = alt.Chart(housing).mark_point().encode(
        x='price',
        y='price_per_area'
    ).to_html()

    
    return Response(chart_html.encode('utf-8'), media_type="text/html")

Go to the "Embed" tab to see your chart:

HTML Chart Example