Refi Calculator Package.
Project description
Refi-Calculator
Refi-Calculator helps borrowers analyze whether refinancing makes sense by comparing current and proposed loan terms through breakeven, NPV, amortization, and holding-period views inside a Tkinter GUI.
Features
- Side-by-side analysis of current vs. proposed mortgage payments (nominal and after-tax)
- Breakeven and holding-period tables with clear recommendations
- Accelerated payoff planning for maintaining current payment levels
- Loan Visualizations tab with the amortization comparison table (including cumulative interest Δ) plus the refreshed cumulative savings chart (ticks, zero-line label) and a new balance comparison chart for current vs. new loans
- Exportable CSV data for every tab
- Live market tab (when
FRED_API_KEYis configured) surfaces historical 30-year fixed rates and pre-fills the refinance rate so you start with a realistic benchmark. - Interactive history chart in the Market tab plus the value table below it with 30Y/15Y toggles for quick comparisons.
Getting Started
Requirements
- Python 3.13+
- Poetry for dependency management (the virtual environment lives in
.venv/)
Installation
poetry install
This command creates the virtual environment, installs dependencies, and prepares the hooks defined
in .pre-commit-config.yaml.
If you only need the GUI experience, install with pip install .[gui]; to enable the Streamlit
placeholder or eventual web UI, install pip install .[web].
For a global CLI install, use pipx once the package is published, or run a local install with:
pipx install refi-calculator
# or (for development)
pip install -e .
Running the GUI
poetry run refi-calculator
The refi-calculator console script now launches the Tkinter application exposed via
refi_calculator.gui.app:main, so you can start the GUI with poetry run refi-calculator or via
pipx once the package is installed globally.
Running the Web placeholder
After installing the web optional dependencies (pip install .[web]), run poetry run refi-calculator-web to launch the Streamlit placeholder. That console script now invokes the
Streamlit CLI (streamlit run .../src/refi_calculator/web/app.py) so you get the normal script
context and browser experience while the full Streamlit workflow is still under construction.
Testing & Quality
poetry run pre-commit run --all-files(runs formatting, linting, safety hooks, etc.)poetry run pytest(not yet populated, but ready for future tests)
Market Data Tab
- Set the
FRED_API_KEYenvironment variable to pull historical 30-year fixed-rate data when you launch the app. The Market tab will populate a refreshable table and update the default refinance rate using the latest observation. If the key is missing or the FRED request fails, the tab keeps working but reports the reason for the skip. - Use the selectors inside the Market section to start with one year of history or extend the view to two years, five years, or all available data. The chart overlays both tenors with a legend, and the table below shows one column per tenor for the selected time window.
Add new tests under tests/ following the test_*.py pattern whenever you enhance functionality.
Hosted Streamlit Preview
- Visit https://refi-calculator.streamlit.app/ for a hosted version of the Streamlit placeholder so collaborators can explore the experience without installing dependencies locally.
Documentation
- The MkDocs site at https://jordandpflum.github.io/refi-calculator/ serves the full guide, API reference, and autogenerated content for the project.
Code Structure
src/refi_calculator/core/: Shared calculations, models, and utility helpers used by every interface.src/refi_calculator/gui/: Tkinter GUI composed of:app.py: The main application wiring.chart.py: Custom savings chart canvas relying on shared helpers.builders/: Tab-specific builders and UI helpers.
src/refi_calculator/web/: Streamlit placeholder (future web UI) exposingmain().src/refi_calculator/cli.py: CLI launcher exposed via therefi-calculatorconsole script.bin/refi-calculator.py: Entry point that runs the GUI.
Contributing
- Keep imports grouped by functionality (allow isort to do the heavy lifting through pre-commit).
- Update or add tests in
tests/before opening a pull request. - Run
poetry run pre-commit run --all-filesto catch formatting/lint issues early.
License
See LICENSE.txt for licensing details.
Project details
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