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nbp_rates

A modular Python library for providing NBP (Narodowy Bank Polski) exchange rates with both offline and online support. Very fast and easy to use.

Features

  • Offline Support: Includes historical exchange rates data from 1984 to 13-August-2026
  • Online Fallback: Automatically fetches from NBP API for dates after 13-August-2026
  • Dual Table Support: Supports both Table A (major currencies) and Table B (minor currencies)
  • Smart Fallback: Optionally searches last available rate before given date (handles holidays, weekends and missing data)
  • Super Fast: Optimized for speed with most queries served from local data with minimal API calls
  • Easy and Powerful: Simple to use with 200+ currencies supported
  • Precise and exact output: No rounding within library. Results provided as string to avoid floating-point rounding issues
  • Reliable: As most of data is served offline, it is not affected by NBP API downtime, responsiveness or rate limits
  • Flexible Date Input: Accepts datetime.date, datetime.datetime, or ISO format strings (YYYY-MM-DD)
  • No external dependencies: Pure Python with standard library
  • Daily Updates: new version of library released daily with the latest exchange rates available offline

Installation

Install from PyPI:

pip install nbp_rates

Or install in development mode from the repository:

git clone https://github.com/varciasz/nbp_rates.git
cd nbp_rates
pip install -e .

Requirements

  • Python 3.6 or higher
  • No external dependencies (uses only Python standard library)

Usage

Basic Usage

Get the exchange rate for a specific date and currency:

from nbp_rates import ProvideCurrencyRate
from datetime import date

# Get USD rate for a specific date
rate = ProvideCurrencyRate(date(2024, 1, 15), 'USD')
print(f"USD rate on 2024-01-15: {rate}")

# Using a string date (ISO format)
rate = ProvideCurrencyRate('2024-01-15', 'EUR')
print(f"EUR rate on 2024-01-15: {rate}")

# Using datetime object
from datetime import datetime
rate = ProvideCurrencyRate(datetime(2024, 1, 15, 10, 30), 'GBP')
print(f"GBP rate on 2024-01-15: {rate}")

Using Fallback

Enable fallback to search up to 31 days back for an available rate (useful for holidays, weekends and missing data):

# Get rate for a holiday, falling back to previous business day if needed
rate = ProvideCurrencyRate(date(2024, 1, 1), 'USD', fallback=True)
print(f"USD rate: {rate}")

Return Values

  • Successfully fetched rate: String representation of the exchange rate (e.g., "4.25")
  • Currency not found: "Error - wrong currency"
  • Module loading error: "Error - unable to load currency module"
  • Fallback limit exceeded or rate not found: "-1"

Supported Currencies

The library supports 200+ currencies including:

Major currencies (Table A): USD, EUR, GBP, JPY, CHF, CAD, AUD, and many more

Minor currencies (Table B): INR, CNY, MXN, BRL, ZAR, SGD, and many more

See the source code for the complete list of TABLE_A_CURRENCIES and TABLE_B_CURRENCIES.

API Reference

ProvideCurrencyRate(date_given, currency, fallback=False, _depth=0)

Fetches the FX rate for a given date and currency.

Parameters:

  • date_given (datetime.date, datetime.datetime, or str): The date for which to fetch the rate
  • currency (str): ISO 4217 currency code (e.g., 'USD', 'EUR')
  • fallback (bool, optional): If True, searches up to 31 days back for available rates. Default: False
  • _depth (int, optional): Internal parameter for recursion tracking. Default: 0

Returns:

  • str: Exchange rate as a string, or error message

Raises:

  • ValueError: If the date format is invalid or currency is not recognized

Data Sources

  • Offline Data: Embedded exchange rate data from 1984 to 13-August-2026
  • Online Data: NBP API (https://api.nbp.pl/) for dates after the offline data cutoff

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

Sebastian Kowalik

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Changelog

Current Version 1.5.20260814

  • Library is updated daily with the latest exchange rates included offline. Last 8 digits of version number represent the date when the version was generated (YYYYMMDD).

Version 1.5

  • First official stable version with automated daily updates and support for 200+ currencies.

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