Skip to main content

Python package to parse Companies House accounts data in a streaming way

Project description

stream-read-xbrl

PyPI version Tests Test Coverage

Python package to parse Companies House accounts data in a streaming way. It converts the zipped XBRL format that Companies House supplies into a single data frame of 38 columns.

On a standard laptop with 8 CPU cores it takes approximately 10 seconds to convert a single day of Companies House accounts data. This does not include the time to transfer the data from Companies House.


Visit the stream-read-xbrl documentation for usage instructions.

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

stream_read_xbrl-0.0.25.tar.gz (10.5 kB view details)

Uploaded Source

Built Distribution

stream_read_xbrl-0.0.25-py3-none-any.whl (10.2 kB view details)

Uploaded Python 3

File details

Details for the file stream_read_xbrl-0.0.25.tar.gz.

File metadata

  • Download URL: stream_read_xbrl-0.0.25.tar.gz
  • Upload date:
  • Size: 10.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for stream_read_xbrl-0.0.25.tar.gz
Algorithm Hash digest
SHA256 207ba956d92b1186bd4a8725264d82b60841e1c52fd4387ea76c3eaa665c09cd
MD5 142775793f4ed22c74db814851727443
BLAKE2b-256 070f53c7bbb701da942551d21619488724438fd026b5c748caa30e2f6a64e5a4

See more details on using hashes here.

File details

Details for the file stream_read_xbrl-0.0.25-py3-none-any.whl.

File metadata

File hashes

Hashes for stream_read_xbrl-0.0.25-py3-none-any.whl
Algorithm Hash digest
SHA256 be3db110191ebc31015344cde783bcb07ae0e33862873cd4685db0ea2bffad13
MD5 d4b82eda636503dd40baf12e3d725352
BLAKE2b-256 9f95ddbcd6d17035aaa6d768f762837722dfbeb4048ff8c7dfbc0008b6c4c8f1

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 Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page