Skip to main content

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 21-July-2026
  • Online Fallback: Automatically fetches from NBP API for dates after 21-July-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 21-July-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 1.5.20260722

  • 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.

Release files for nbp-rates 1.5.20260722

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nbp-rates 1.5.20260722
File Size Uploaded
nbp_rates-1.5.20260722.tar.gz 1.5 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for nbp-rates 1.5.20260722
File Interpreter ABI Platform
nbp_rates-1.5.20260722-py3-none-any.whl Python 3 none any Details

Total release size: 3.0 MB

Release files / nbp_rates-1.5.20260722.tar.gz

Download URL nbp_rates-1.5.20260722.tar.gz
Size 1.5 MB
Tags Source
SHA-256 checksum
How to use checksums
d416f2e9a6313639056f734a66977165f8efc5aa0a2dca2dba09871513ef4733
BLAKE2b-256 checksum
How to use checksums
6beae4fa89ed030d04d1717d32635a924e5297aed9e0c6d8276a6db85e66d24f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jul 22, 2026.

Transparency log

Release files / nbp_rates-1.5.20260722-py3-none-any.whl

Download URL nbp_rates-1.5.20260722-py3-none-any.whl
Size 1.5 MB
Tags Python 3
SHA-256 checksum
How to use checksums
15739ef3de3ac07128444bd1ca974abf49af530e603cb12d72a45b27c068d8ce
BLAKE2b-256 checksum
How to use checksums
4a7010951072c3729c62813bbbfd16c6b1e42378f749b12ce6b3eb5527893b20
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jul 22, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

1.5.20260722 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page