Skip to main content

A python module for getting useful data out of ixbrl files.

Project description

ixbrl-parse

Test status PyPI version PyPI - Python Version PyPI - License Documentation Status

A python module for getting useful data out of iXBRL™ and XBRL™ files. The library is at an early stage - feedback and improvements are very welcome.

Full documentation is available at ixbrl-parse.readthedocs.io

For more about the iXBRL™ and XBRL™ standards, see the specification site and XBRL International. This tool is not affiliated with XBRL International.

Changelog

Requirements

The module requires BeautifulSoup and lxml to parse the documents.

word2number is used to process the numeric items with the numsenwords format.

How to install

You can install from pypi using pip:

pip install ixbrlparse

How to use

You can run the module directly to extract data from an iXBRL™ file.

ixbrlparse example_file.html
# or
python -m ixbrlparse example_file.html

While primarily designed for iXBRL™ files, the parser should also work for XBRL™ files.

The various options for using this can be found through:

python -m ixbrlparse -h
# optional arguments:
#   -h, --help            show this help message and exit
#   --outfile OUTFILE     Where to output the file
#   --format {csv,json,jsonlines,jsonl}
#                         format of the output
#   --fields {numeric,nonnumeric,all}
#                         Which fields to output

You can also use as a python module (see the documentation for more details)

Development

The module is setup for development using hatch.

Run tests

Tests can be run with pytest:

hatch run test

Test coverage

Run tests then report on coverage

hatch run cov

Run tests then run a server showing where coverage is missing

hatch run cov-html

Run typing checks

hatch run lint:typing

Linting

Black and ruff should be run before committing any changes.

To check for any changes needed:

hatch run lint:style

To run any autoformatting possible:

hatch run lint:fmt

Run all checks at once

hatch run lint:all

Publish to pypi

hatch build
hatch publish
git tag v<VERSION_NUMBER>
git push origin v<VERSION_NUMBER>

Acknowledgements

Developed by David Kane of Kane Data Ltd

Originally developed for a project with Power to Change looking at how to extract data from financial documents of community businesses.

Thanks to the following users for their contributions:

XBRL™ and iXBRL™ are trademarks of XBRL International, Inc. All rights reserved.

The XBRL™ standards are open and freely licensed by way of the XBRL International License Agreement. Our use of these trademarks is permitted by XBRL International in accordance with the XBRL International Trademark Policy.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ixbrlparse-0.8.2.tar.gz (6.0 kB view details)

Uploaded Source

Built Distribution

ixbrlparse-0.8.2-py3-none-any.whl (16.9 kB view details)

Uploaded Python 3

File details

Details for the file ixbrlparse-0.8.2.tar.gz.

File metadata

  • Download URL: ixbrlparse-0.8.2.tar.gz
  • Upload date:
  • Size: 6.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.25.1

File hashes

Hashes for ixbrlparse-0.8.2.tar.gz
Algorithm Hash digest
SHA256 2823305b967117f6aa68dad6cec81193114d0c0ac7cd252b2d60c765be70e64a
MD5 6b431c90c5344ca0075c2b590170943c
BLAKE2b-256 ae60fa6b876f0ff226f1b3a6f108210213f509d94a532ed2bfce205d83ac552e

See more details on using hashes here.

File details

Details for the file ixbrlparse-0.8.2-py3-none-any.whl.

File metadata

  • Download URL: ixbrlparse-0.8.2-py3-none-any.whl
  • Upload date:
  • Size: 16.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.25.1

File hashes

Hashes for ixbrlparse-0.8.2-py3-none-any.whl
Algorithm Hash digest
SHA256 820df7aa779d572497085435433af14cd108f87a84f64d7f938bb2240626aa3e
MD5 ca619fe8eedea498c7b8a3cc407cedf4
BLAKE2b-256 687c01b52dcd13217a94fc88d4aafa0a19e1e26b6e5dca989fe7f6dd4a2d9961

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page