Skip to main content

Visualization for Everest

Project description

Publish Python 🐍 distributions 📦 to PyPI Python package Code style: black License: AGPL v3

everviz: web based visualization for everest

What is everviz

everviz is a visualization plugin for everest based on dash and webviz-config.

Download project

The code is hosted on GitHub: https://github.com/equinor/everviz

The latest version is available on pypi.

# Install
pip install everviz

Run tests

tox is used as the test facilitator, to run the full test suite:

# Test
pip install tox
tox

or to run it for a particular Python version (in this case Python 3.7):

# Test
pip install tox
tox -e py37

pytest is used as the test runner, so for quicker iteration it is possible to run:

# Test
pytest
# or to run the tests headless:
pytest --headless

this requires that the test dependencies from tox.ini are installed.

The tests requires WebDrivers (default: Chrome), more information can be found here

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

everviz-0.0.0.tar.gz (150.9 kB view details)

Uploaded Source

Built Distribution

everviz-0.0.0-py3-none-any.whl (53.4 kB view details)

Uploaded Python 3

File details

Details for the file everviz-0.0.0.tar.gz.

File metadata

  • Download URL: everviz-0.0.0.tar.gz
  • Upload date:
  • Size: 150.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for everviz-0.0.0.tar.gz
Algorithm Hash digest
SHA256 a93b342bdeb006425c37648619c3031ec9d23eefe98cdbd9b08dc179ac9fe485
MD5 7594c7d2c2f309a63784cff88007e45a
BLAKE2b-256 d9f60e8f975b806044c19153b440b11494960667467fd61973810e247a7201d8

See more details on using hashes here.

File details

Details for the file everviz-0.0.0-py3-none-any.whl.

File metadata

  • Download URL: everviz-0.0.0-py3-none-any.whl
  • Upload date:
  • Size: 53.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for everviz-0.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 13c4bdf34c5b3eb17c05fec8325ce0ca92f27c870b1675c87615fef5900bfb37
MD5 d440dc4e0cb6ffb0b6f34e0d5a6cf953
BLAKE2b-256 918534de5bf42ab45a2fb7fbdad80c8d881a546057174a07c5f2a5a4c0857945

See more details on using hashes here.

Supported by

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