nemoview


Namenemoview JSON
Version 0.3.1 PyPI version JSON
download
home_pagehttps://github.com/LeonardoESousa/nemoview
SummaryVisualization tool for NEMO ensembles
upload_time2024-12-05 18:40:07
maintainerNone
docs_urlNone
authorLeonardo Evaristo de Sousa
requires_python>=3.8.0
licenseMIT
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
# NEMOVIEW - Visualization tool for NEMO ensembles.


[![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg?style=plastic)](https://www.python.org/)
[![license](https://img.shields.io/github/license/LeonardoESousa/nemoview?style=plastic)]()
[![maint](https://img.shields.io/maintenance/yes/2024?style=plastic)]()
[![down](https://img.shields.io/pypi/dm/nemoview?style=plastic)]()
[![commit](https://img.shields.io/github/last-commit/LeonardoESousa/nemoview?style=plastic)]()
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/LeonardoESousa/nemoview/HEAD?urlpath=voila%2Frender%2Fnemoview%2Fnemodash.ipynb)

## An application for analysis and visualization of results from NEMO ensemble calculations. 


<img src="Tutorial/Figures/nemoview_front.png" alt="Alt Text" width="2000">


## Quick Guide

1 - Try running it using  binder: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/LeonardoESousa/nemoview/HEAD?urlpath=voila%2Frender%2Fnemoview%2Fnemodash.ipynb)

2 - Read the [tutorial](https://github.com/LeonardoESousa/nemoview/tree/main/Tutorial/Tutorial.md) while the application loads. 

3 - Examples of ensemble files for testing can be found [here](https://github.com/LeonardoESousa/nemoview/tree/main/Tutorial).

## How to install it?

The easiest way to install is to use pip:

`pip install nemoview`

This will install the latest released version.

To install the version with the latest commit, run:

`pip install git+https://github.com/LeonardoESousa/nemoview`

**NOTE**: It is recommended that you install **NEMOview** within a virtual enviroment.

## How to use it?

Once installed, use the command:

`nemoview`

The application will open in your browser.

## Tutorial

For details on the analyses available in **NEMOview**, check the [tutorial](https://github.com/LeonardoESousa/nemoview/tree/main/Tutorial/Tutorial.md).

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/LeonardoESousa/nemoview",
    "name": "nemoview",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.8.0",
    "maintainer_email": null,
    "keywords": null,
    "author": "Leonardo Evaristo de Sousa",
    "author_email": "leonardo.sousa137@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/a1/df/397dd0efaed523e3e4c29cc7d42d56aa784475b4e16e571ef9897915fd8b/nemoview-0.3.1.tar.gz",
    "platform": null,
    "description": "\n# NEMOVIEW - Visualization tool for NEMO ensembles.\n\n\n[![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg?style=plastic)](https://www.python.org/)\n[![license](https://img.shields.io/github/license/LeonardoESousa/nemoview?style=plastic)]()\n[![maint](https://img.shields.io/maintenance/yes/2024?style=plastic)]()\n[![down](https://img.shields.io/pypi/dm/nemoview?style=plastic)]()\n[![commit](https://img.shields.io/github/last-commit/LeonardoESousa/nemoview?style=plastic)]()\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/LeonardoESousa/nemoview/HEAD?urlpath=voila%2Frender%2Fnemoview%2Fnemodash.ipynb)\n\n## An application for analysis and visualization of results from NEMO ensemble calculations. \n\n\n<img src=\"Tutorial/Figures/nemoview_front.png\" alt=\"Alt Text\" width=\"2000\">\n\n\n## Quick Guide\n\n1 - Try running it using  binder: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/LeonardoESousa/nemoview/HEAD?urlpath=voila%2Frender%2Fnemoview%2Fnemodash.ipynb)\n\n2 - Read the [tutorial](https://github.com/LeonardoESousa/nemoview/tree/main/Tutorial/Tutorial.md) while the application loads. \n\n3 - Examples of ensemble files for testing can be found [here](https://github.com/LeonardoESousa/nemoview/tree/main/Tutorial).\n\n## How to install it?\n\nThe easiest way to install is to use pip:\n\n`pip install nemoview`\n\nThis will install the latest released version.\n\nTo install the version with the latest commit, run:\n\n`pip install git+https://github.com/LeonardoESousa/nemoview`\n\n**NOTE**: It is recommended that you install **NEMOview** within a virtual enviroment.\n\n## How to use it?\n\nOnce installed, use the command:\n\n`nemoview`\n\nThe application will open in your browser.\n\n## Tutorial\n\nFor details on the analyses available in **NEMOview**, check the [tutorial](https://github.com/LeonardoESousa/nemoview/tree/main/Tutorial/Tutorial.md).\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Visualization tool for NEMO ensembles",
    "version": "0.3.1",
    "project_urls": {
        "Homepage": "https://github.com/LeonardoESousa/nemoview"
    },
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "1d9ec6c573a6ef1d63138a446526b48690c75a9080b1dff34e4049add6af6db6",
                "md5": "e892b8bcc6e2c02910cd738580b6511a",
                "sha256": "a3a504328f881c22cc9848e953c67e784be248cdfa77c309ecc0dad8ed639eb7"
            },
            "downloads": -1,
            "filename": "nemoview-0.3.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "e892b8bcc6e2c02910cd738580b6511a",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8.0",
            "size": 66117,
            "upload_time": "2024-12-05T18:40:06",
            "upload_time_iso_8601": "2024-12-05T18:40:06.259820Z",
            "url": "https://files.pythonhosted.org/packages/1d/9e/c6c573a6ef1d63138a446526b48690c75a9080b1dff34e4049add6af6db6/nemoview-0.3.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "a1df397dd0efaed523e3e4c29cc7d42d56aa784475b4e16e571ef9897915fd8b",
                "md5": "8966ab52677c367f5b250fd2659a3acf",
                "sha256": "23f77f77b45d824f1c37182b1b7db46a1ccc28e724e8bb5d6415116508e8adb4"
            },
            "downloads": -1,
            "filename": "nemoview-0.3.1.tar.gz",
            "has_sig": false,
            "md5_digest": "8966ab52677c367f5b250fd2659a3acf",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8.0",
            "size": 68187,
            "upload_time": "2024-12-05T18:40:07",
            "upload_time_iso_8601": "2024-12-05T18:40:07.991088Z",
            "url": "https://files.pythonhosted.org/packages/a1/df/397dd0efaed523e3e4c29cc7d42d56aa784475b4e16e571ef9897915fd8b/nemoview-0.3.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-12-05 18:40:07",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "LeonardoESousa",
    "github_project": "nemoview",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "nemoview"
}
        
Elapsed time: 0.39169s