Example Use Cases#

FedFred powers economic dashboards, async data pipelines, regional economic analysis, and financial research using the FRED® API.

Explore how you can integrate FedFred into your projects:

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Economic Dashboard Development#

See Example

Build real-time economic dashboards by combining:

  • Pandas or Polars for fast data wrangling,

  • Matplotlib, Seaborn, or Plotly for visualizations,

  • Dash, Streamlit, or Gradio for deployment.

Example applications:

  • Track GDP, CPI, Unemployment rates dynamically,

  • Visualize yield curve spreads,

  • Build sectoral dashboards (housing, labor, inflation).

See visualization examples in Data Visualization Examples.

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Asynchronous Data Pipelines#

See Example

Use fedfred.clients.FredAPI.AsyncAPI to fetch hundreds or thousands of series concurrently with Python’s asyncio.

Ideal for:

  • High-throughput ETL pipelines,

  • Automated economic indicator collectors,

  • Research workflows for bulk data collection.

Features like built-in caching and resilient retrying ensure reliability.

See async examples in Advanced Usage Examples.

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Regional Economic Analysis#

See Example

Analyze geographic economic data via:

Applications:

  • Map unemployment rates, housing prices, GDP by state,

  • Monitor regional economic performance,

  • Conduct spatial econometrics with geopandas or pysal.

Output: native GeoDataFrame ready for GIS analysis.

See mapping examples in Data Visualization Examples.

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Financial Research and Backtesting#

See Example

Use FedFred for real-time historical data research:

  • Fetch available vintage dates,

  • Retrieve series observations for specific vintages,

  • Analyze preliminary vs final release values.

Example applications:

  • Build macroeconomic forecasting models using only real-time available data (no lookahead bias),

  • Create economic surprise indices for trading strategies.

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