Skip to main content

uk-bank-rate

The UK Bank Rate from the Bank of England's own data, using the standard library alone, and honest about the hours after a decision.

pip install uk-bank-rate
from uk_bank_rate import bundled_history, get_bank_rate, rate_on, rates_between

current = get_bank_rate()
covid_low = rate_on(bundled_history, "2020-06-01")
through_2025 = rates_between(bundled_history, "2025-01-01", "2025-12-31")

get_bank_rate() returns the rate today, the day it took effect, the last day the published series covers, the next scheduled decision, and a pending_decision that is set whenever a decision has been announced, or is due, that the published data does not reflect yet, and a beyond_schedule flag for dates past both the data and the published schedule. The Committee announces at 12:00 London time and the series can lag by a working day or two, so a client that reads only the latest row reports the old rate for that whole window without knowing it.

rate_on() answers the rate on any date since 2 January 1975 from a bundled history of every change, with no network call, and rates_between() splits a span into the periods over which the rate held, each with its count of days, for interest at Bank Rate plus a margin. Dates come back as datetime.date and rates as Decimal, so interest worked out from them does not drift. Every failure to reach the Bank raises BankRateSourceError with a failure of http, not_csv, empty, timeout or network, an answer that is not the series or whose rows cannot be read included, so a change to the Bank's format is reported rather than read as no data.

The Bank's firewall refuses Python's default urllib user agent with 403 Access Denied, which is why so many hand-written scripts pretend to be a browser. This package sends its own honest one instead, and exports it as USER_AGENT for a custom transport to send. It needs Python 3.11 or later and nothing outside the standard library, apart from tzdata on Windows, which ships no time zone database.

The full guide, the TypeScript package and the design notes are in the repository.

Contains data from the Bank of England Database, licensed under the Open Government Licence v3.0 and copyright the Governor and Company of the Bank of England. Not affiliated with or endorsed by the Bank of England. Code released under the MIT licence.

Developed by Bhupen Varsani.

Metadata

Release files for uk-bank-rate 0.3.1

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

Source distribution (sdist)

Source distribution for uk-bank-rate 0.3.1
File Size Uploaded
uk_bank_rate-0.3.1.tar.gz 11.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for uk-bank-rate 0.3.1
File Interpreter ABI Platform
uk_bank_rate-0.3.1-py3-none-any.whl Python 3 none any Details

Total release size: 27.5 kB

Release files / uk_bank_rate-0.3.1.tar.gz

Download URL uk_bank_rate-0.3.1.tar.gz
Size 11.3 kB
Tags Source
SHA-256 checksum
How to use checksums
b639976deac4d17837b420a50a65b76a5ade5407d6247a297468b912254df775
BLAKE2b-256 checksum
How to use checksums
74dfd75a8f54db099e9f9b77f787f029cae270e42fd6031b89855b657f186bdb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 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 Sep 29, 2026.

Transparency log

Release files / uk_bank_rate-0.3.1-py3-none-any.whl

Download URL uk_bank_rate-0.3.1-py3-none-any.whl
Size 16.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2a9581826af19db51bc6e6d2b6f32236c60f50d71bbfa4f273d5604781df3ef2
BLAKE2b-256 checksum
How to use checksums
7f88e84ea54013ee7bf2c27fbec25623ba89ddffd67c066dd86020d6db83563d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 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 Sep 29, 2026.

Transparency log

Release history Release notifications | RSS feed

0.4.1

2 release files

0.4.0

2 release files

This release

0.3.1 This release

2 release files

0.3.0

2 release files

0.2.2

2 release files

0.2.1

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