Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

https://github.com/equinor/webviz-ert

ERT webviz plugins
https://github.com/equinor/webviz-ert

dash ert fmu hacktoberfest plotly webviz

Last synced: 3 months ago
JSON representation

ERT webviz plugins

Host: GitHub
URL: https://github.com/equinor/webviz-ert
Owner: equinor
License: gpl-3.0
Created: 2020-04-27T05:47:29.000Z (about 4 years ago)
Default Branch: main
Last Pushed: 2024-02-22T08:16:35.000Z (4 months ago)
Last Synced: 2024-03-21T06:02:31.997Z (4 months ago)
Topics: dash, ert, fmu, hacktoberfest, plotly, webviz
Language: Python
Homepage:
Size: 494 KB
Stars: 12
Watchers: 14
Forks: 24
Open Issues: 37
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md

Lists

webviz-awesome - `ertviz`

README

        [![PyPI version](https://badge.fury.io/py/webviz-ert.svg)](https://badge.fury.io/py/webviz-ert)

[![Build Status](https://github.com/equinor/webviz-ert/workflows/Python/badge.svg)](https://github.com/equinor/webviz-ert/actions?query=workflow%3APython)

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

[![PyPI license](https://img.shields.io/pypi/l/webviz-ert.svg)](https://pypi.org/project/webviz-ert/)

# Web based visualization for ERT

## What is Webviz-ert

Webviz-ert is a visualization tool for ERT based on [dash](https://github.com/plotly/dash) 

and [webviz-config](https://github.com/equinor/webviz-config).

## Download project

The code is hosted on GitHub:

https://github.com/equinor/webviz-ert

```sh

# From the downloaded project's root folder - to install

pip install .

```

## Running tests

Make sure that you have a browser and driver available for running the tests,

e.g. chrome / chromium and the chrome driver, which should be installed /

downloaded as binaries and made available in the path.

```sh

# From the downloaded project's root folder - to run tests

pip install -r test_requirements.txt

cd tests

pytest

```

## Run Webviz-ert

Webviz-ert connects automatically to a storage server running in [ERT](https://github.com/equinor/ert).

Here are a few steps to get an example version of webviz-ert running.

```sh

# Run simulations in ert - /test-data/local/poly_example/

ert ensemble_smoother --target-case smoother poly.ert

# After simulation has finished, start webviz-ert from the same location with

ert vis

# Alternatively, you might have to supply the config file if you're using the

# classic ert storage solution:

ert vis poly.ert

```

## Example

#### Start up 

![startup](https://user-images.githubusercontent.com/4508053/186850915-4b53c4fb-273d-4c15-961c-299966c3232c.gif)

#### Plot viewer 

![plot_viewer](https://user-images.githubusercontent.com/4508053/186850936-38a13f16-f795-4691-8455-fc12f8372d8e.gif)

#### Observation Analyzer

![observation_analyzer](https://user-images.githubusercontent.com/4508053/186850964-68b137eb-17c4-4bf9-9436-81c8c86e5956.gif)

#### Parameter comparison 

![parameter_comparison](https://user-images.githubusercontent.com/4508053/186851000-e5b750e1-d7ae-4da4-a612-b6c3740f5698.gif)

#### Response correlation 

![response_correlation](https://user-images.githubusercontent.com/4508053/186851026-df2085fd-5c35-42a6-a87e-c1890a963254.gif)