1
Connect
Read worksheet ranges, tables, and named cells into Python so the application can work from live workbook data.
Turn spreadsheets into software
Build interactive applications in Excel with Python. Connect live workbook data, create controls and visualizations, publish results back to cells, and deliver the workbook in a simplified Run mode.
Powered by Python for Excel. No separate Python installation required for workbook users.
Workbook inputsAssumptions, formulas, and published outputs stay in Excel.
Task pane appControls, charts, and workflow logic live beside the workbook.
Custom functionsPublish reusable Python calculations back to worksheet formulas.
Python for Excel
Build the application in Python. Deliver it through Excel.
Python for Excel is Boardflare’s flagship product for turning workbook inputs, reactive Python logic, and task-pane UI into a reusable application. The workbook remains the familiar data and delivery layer.
2
Build
Author custom functions, notebook logic, and interactive task-pane UI with integrated AI assistance when you need it.
3
Deliver
Publish values and Python functions back to Excel, save the source with the workbook, and open the result in a simplified Run mode.
Built for the handoff
The author sees a development environment. The user sees an application.
The value is not only running Python in Excel. It is packaging a model so another person can operate it without maintaining the implementation.
Build and maintain
- Edit reactive Python cells
- Use AI to generate and revise code
- Inspect dependencies and errors
- Publish workbook values and functions
Operate the model
- Change workbook assumptions
- Use controls and defined workflows
- View charts, tables, and explanations
- Work without editing Python source
Examples and templates
Current applications built with Python for Excel.
These are working examples from the current demo catalog, not hypothetical future use cases.
See all current examples and templates →Revenue Command Center
Scenario planning, Monte Carlo forecasting, interactive controls, published worksheet outputs, and live Python functions.
View example →Five-year financial model
Workbook assumptions feeding a reactive SaaS financial model and a published Excel summary.
View example →Reactive curve fit
Worksheet observations feeding a scientific Python model with live fitted results and predictions.
View example →AI-assisted authoring
Use AI to build the application. Keep the resulting logic inspectable.
The notebook includes AI authoring capabilities for generating, explaining, debugging, and revising code. The durable output is the notebook and workbook application—not a transient chat answer.
See the notebook workflow →Example author request
“Use the assumptions table to build a five-year forecast, validate missing inputs, and publish the summary to Excel.”
Review generated notebook changes, run them against workbook data, and save the working application.
Other Boardflare products
Focused tools for other spreadsheet workflows.
Build your first workbook application.
Use Python for Excel in your workbook or explore the same application model in the browser demo.