No project description provided

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for alurban from gravatar.com alurban Avatar for areeda from gravatar.com areeda Avatar for eagoetz from gravatar.com eagoetz Avatar for rbruntz from gravatar.com rbruntz

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

The Gravitational-wave Veto Evaluation and Testing suite (python:gwvet) is a plugin for GWSumm designed to enable and assist with review of data-quality veto products.

PyPI version Conda version

License Supported Python versions

Build Status Coverage Status

Installation

GWVET is best installed with conda:

conda install -c conda-forge gwvet

but can also be installed with pip:

python -m pip install gwvet

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for alurban from gravatar.com alurban Avatar for areeda from gravatar.com areeda Avatar for eagoetz from gravatar.com eagoetz Avatar for rbruntz from gravatar.com rbruntz

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

1.0.4

1.0.3 yanked

1.0.2 yanked

1.0.1 yanked

1.0.0

0.1.4

0.1.3

0.1.2

This version

0.1.1

0.1.0

Download files

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

Source Distribution

gwvet-0.1.1.tar.gz (43.1 kB view details)

Uploaded Source

Built Distribution

gwvet-0.1.1-py2.py3-none-any.whl (49.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gwvet-0.1.1.tar.gz.

File metadata

  • Download URL: gwvet-0.1.1.tar.gz
  • Upload date:
  • Size: 43.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.1

File hashes

Hashes for gwvet-0.1.1.tar.gz
Algorithm Hash digest
SHA256 0a136f355c3343aa2318d366fe10936b0d113e56bc8c3012d6a771ab533a59f6
MD5 8d3ae9531ba3ca0900b51ede608d00e3
BLAKE2b-256 bb64f9b85250bbf84cc685fc5b5fc95b261b0f686a4ef411f65575460b80311a

See more details on using hashes here.

File details

Details for the file gwvet-0.1.1-py2.py3-none-any.whl.

File metadata

  • Download URL: gwvet-0.1.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 49.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.1

File hashes

Hashes for gwvet-0.1.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c1b5495bab03d9e395e1450fa9884f18a21f884688d244a38022629553e61136
MD5 29ebdf2ae52feddb1dd87f271fafc218
BLAKE2b-256 5a44a3bd1f5d681b8b5259e758f16db2e992766fa83d7d425632993265eaba49

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