Skip to main content

A python toolbox used by the LIGO Scientific Collaboration for detector characterisation

Project description

GWSumm is a python toolbox used by the LIGO Scientific Collaboration to summarise and archive sundry facets of the performance of the LIGO instruments, and archive these data in a nested HTML structure.

PyPI version Conda version

DOI License Supported Python versions

Build Status Coverage Status Code Climate

https://gwsumm.readthedocs.io

Installation

GWSumm is best installed with conda:

conda install -c conda-forge gwsumm

but can also be installed with pip:

python -m pip install gwsumm

Contributing

All code should follow the Python Style Guide outlined in PEP 0008; users can use the flake8 package to check their code for style issues before submitting.

See the contributions guide for the recommended procedure for proposing additions/changes.

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

gwsumm-2.3.1.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gwsumm-2.3.1-py3-none-any.whl (258.4 kB view details)

Uploaded Python 3

File details

Details for the file gwsumm-2.3.1.tar.gz.

File metadata

  • Download URL: gwsumm-2.3.1.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for gwsumm-2.3.1.tar.gz
Algorithm Hash digest
SHA256 8e6bf092301c94bad20be13c4f57fe195502c618ee8192d04dcfe3bf9006aa96
MD5 f4ba774346a09095e3afbe4473c2ad41
BLAKE2b-256 e85054b513648a3126aa9bed222c69ba1daf99517736f9859de42d440632e37e

See more details on using hashes here.

File details

Details for the file gwsumm-2.3.1-py3-none-any.whl.

File metadata

  • Download URL: gwsumm-2.3.1-py3-none-any.whl
  • Upload date:
  • Size: 258.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for gwsumm-2.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 c18cd99623b464a2eae1f2f996a7b890dbd21bfcb19082ee3978f62248232fb6
MD5 a6a088c9b696dd93efa9175814570292
BLAKE2b-256 0b9d89f4787ccf40ae99a8d0a27244ef404c04ea6f22d2f272da30f1fcc69c9d

See more details on using hashes here.

Supported by

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