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 37 columns.

On a standard laptop with 8 CPU cores it takes approximately 20 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-0.0.15.tar.gz (9.8 kB view details)

Uploaded Source

Built Distribution

stream_read_xbrl-0.0.15-py3-none-any.whl (9.6 kB view details)

Uploaded Python 3

File details

Details for the file stream_read_xbrl-0.0.15.tar.gz.

File metadata

  • Download URL: stream_read_xbrl-0.0.15.tar.gz
  • Upload date:
  • Size: 9.8 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-0.0.15.tar.gz
Algorithm Hash digest
SHA256 82e7fa30be0e482031e23ba63c5d99cf0c0dc04d85bab06351d8b492f1f595cc
MD5 8e84a853e71c020b58072df5da8a5df2
BLAKE2b-256 84c455f3e3b49281dfdb6923e176ade887fe70cedf9491ca4c521f5ebc975e3c

See more details on using hashes here.

File details

Details for the file stream_read_xbrl-0.0.15-py3-none-any.whl.

File metadata

File hashes

Hashes for stream_read_xbrl-0.0.15-py3-none-any.whl
Algorithm Hash digest
SHA256 ec9e1316eaf2e770acaf326f030ded1afd74a80327e8fa104c6dd8d25646d39a
MD5 a4ed7cb9ac70faabb4189bc0ac602e03
BLAKE2b-256 09a6515d53b3dc1b4fa020ac1cede7f74853caa027fa3fc0ac0fa1f039cbcfc1

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