life123


Namelife123 JSON
Version 1.0rc6 PyPI version JSON
download
home_pageNone
SummaryDynamical Modeling of Biological Systems - Quantitative Reactomics
upload_time2025-09-04 21:34:55
maintainerNone
docs_urlNone
authorJulian West Life123.science
requires_python>=3.9
licenseNone
keywords dynamical modeling quantitative reactomics reactions and diffusion systems biology
VCS
bugtrack_url
requirements plotly numpy scipy pandas jsonschema jupyterlab jupytext ipynbname pytest
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Life123
Open-Source Engine for Quantitative Reactomics.

Dynamical Modeling of Biological Systems in 1, 2 and 3D (as well as single-compartment reactions)

Includes diffusion, reactions, diffusion/reaction, membranes and compartments.

[WEBSITE](https://life123.science/)

## Fundamental Goals
1. Detailed, quantitative biological simulations, including whole prokaryotic cells (bacteria), and later eukaryotic cells
2. Deeper quantitative insight into human tissue/organ/system physiology, for the advancement of medicine
3. A very integrative approach that is ultimate conducive to body-wide insights,
   with an eye to Longevity Science
4. Explore the minimalist essence of life-like dynamical systems
5. Investigate potential paths for the emergence of life on Earth and on Exoplanets
6. A community effort bringing together biologists, system biologists, programmers, machine-learning specialists, biochemists, power-computing engineers, doctors, data scientists, graphic designers, members of the public willing to share computing resources, etc.

## Overview and Details

[WEBSITE](https://life123.science/)

[Follow our blog/discussions](https://github.com/BrainAnnex/life123/discussions)

## Try it Out Live on a hosted JupyterLab!
**TRY IT OUT LIVE** (no registration nor install!)  
Click on
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/BrainAnnex/life123/main)

Then explore the notebooks under the `experiments` folder.

Note that several notebooks create **HTML log files**, by the same name as the notebook (eg,
running the notebook called `diffusion_1.ipynb` will create a log file named `diffusion_1.htm`).
These log files typically contain additional interactive graphics: currently, mostly interactive diagrams of the reaction networks.  
(Most plots will show up inside the notebooks.)

"Binder", the host of the live demo, is akin to Google's Colab:
short-term runs on a hosted JupyterLab environment.  
It generally takes less than one minute to launch... and then you'll have your own private copy of all the notebooks,
to run and/or change and re-run.  (The notebooks are pre-existing; you may view them without
having to run anything.)

Please remember that nothing gets saved long term on Binder; so, if you make changes you want to preserve,
make sure to download the changed notebooks!  For instruction on creating your own private local copy, read on...

(Note: if you want to simply VIEW the notebooks rather than run them, you may simply follow the  
links in the [Experiments Page](https://life123.science/experiments) )

## Components

*Experiments:*
See the [Life123 List of Experiments](https://life123.science/experiments)

*Libraries:*
See the [Life123 Guide](https://life123.science/guide)

*Unit Testing (pytest):*
* "tests" folder (top-level)

## How to Use
See this [short video](https://www.youtube.com/watch?v=FOhQgPZaEsA)

## How to Run Locally
`pip install life123`

For details, see the [Life123 Download/Install page](https://life123.science/install)

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "life123",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.9",
    "maintainer_email": "julian@brainannex.org",
    "keywords": "dynamical modeling, quantitative reactomics, reactions and diffusion, systems biology",
    "author": "Julian West Life123.science",
    "author_email": null,
    "download_url": "https://files.pythonhosted.org/packages/dd/38/e46d27c6eb9d4878e3d32db9cf77d1dd4f978347da455624821e70267c7b/life123-1.0rc6.tar.gz",
    "platform": null,
    "description": "# Life123\nOpen-Source Engine for Quantitative Reactomics.\n\nDynamical Modeling of Biological Systems in 1, 2 and 3D (as well as single-compartment reactions)\n\nIncludes diffusion, reactions, diffusion/reaction, membranes and compartments.\n\n[WEBSITE](https://life123.science/)\n\n## Fundamental Goals\n1. Detailed, quantitative biological simulations, including whole prokaryotic cells (bacteria), and later eukaryotic cells\n2. Deeper quantitative insight into human tissue/organ/system physiology, for the advancement of medicine\n3. A very integrative approach that is ultimate conducive to body-wide insights,\n   with an eye to Longevity Science\n4. Explore the minimalist essence of life-like dynamical systems\n5. Investigate potential paths for the emergence of life on Earth and on Exoplanets\n6. A community effort bringing together biologists, system biologists, programmers, machine-learning specialists, biochemists, power-computing engineers, doctors, data scientists, graphic designers, members of the public willing to share computing resources, etc.\n\n## Overview and Details\n\n[WEBSITE](https://life123.science/)\n\n[Follow our blog/discussions](https://github.com/BrainAnnex/life123/discussions)\n\n## Try it Out Live on a hosted JupyterLab!\n**TRY IT OUT LIVE** (no registration nor install!)  \nClick on\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/BrainAnnex/life123/main)\n\nThen explore the notebooks under the `experiments` folder.\n\nNote that several notebooks create **HTML log files**, by the same name as the notebook (eg,\nrunning the notebook called `diffusion_1.ipynb` will create a log file named `diffusion_1.htm`).\nThese log files typically contain additional interactive graphics: currently, mostly interactive diagrams of the reaction networks.  \n(Most plots will show up inside the notebooks.)\n\n\"Binder\", the host of the live demo, is akin to Google's Colab:\nshort-term runs on a hosted JupyterLab environment.  \nIt generally takes less than one minute to launch... and then you'll have your own private copy of all the notebooks,\nto run and/or change and re-run.  (The notebooks are pre-existing; you may view them without\nhaving to run anything.)\n\nPlease remember that nothing gets saved long term on Binder; so, if you make changes you want to preserve,\nmake sure to download the changed notebooks!  For instruction on creating your own private local copy, read on...\n\n(Note: if you want to simply VIEW the notebooks rather than run them, you may simply follow the  \nlinks in the [Experiments Page](https://life123.science/experiments) )\n\n## Components\n\n*Experiments:*\nSee the [Life123 List of Experiments](https://life123.science/experiments)\n\n*Libraries:*\nSee the [Life123 Guide](https://life123.science/guide)\n\n*Unit Testing (pytest):*\n* \"tests\" folder (top-level)\n\n## How to Use\nSee this [short video](https://www.youtube.com/watch?v=FOhQgPZaEsA)\n\n## How to Run Locally\n`pip install life123`\n\nFor details, see the [Life123 Download/Install page](https://life123.science/install)\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "Dynamical Modeling of Biological Systems - Quantitative Reactomics",
    "version": "1.0rc6",
    "project_urls": {
        "Bug Tracker": "https://github.com/BrainAnnex/life123/issues",
        "Documentation": "https://life123.science",
        "Homepage": "https://life123.science",
        "Source": "https://github.com/BrainAnnex/life123"
    },
    "split_keywords": [
        "dynamical modeling",
        " quantitative reactomics",
        " reactions and diffusion",
        " systems biology"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "ab2e36a6c91b77759ec2d6e1e8f5a049c8c72e3fc5954493aef581e6709e2c8e",
                "md5": "dfddfb4d1ee4d1951ba823a9bed1904b",
                "sha256": "8ff80945fca35b00ca10c45da4b55c7712b3c2d69bfb4492d54e85bcb203ed12"
            },
            "downloads": -1,
            "filename": "life123-1.0rc6-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "dfddfb4d1ee4d1951ba823a9bed1904b",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.9",
            "size": 187355,
            "upload_time": "2025-09-04T21:34:54",
            "upload_time_iso_8601": "2025-09-04T21:34:54.316557Z",
            "url": "https://files.pythonhosted.org/packages/ab/2e/36a6c91b77759ec2d6e1e8f5a049c8c72e3fc5954493aef581e6709e2c8e/life123-1.0rc6-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "dd38e46d27c6eb9d4878e3d32db9cf77d1dd4f978347da455624821e70267c7b",
                "md5": "e47c59b6dfbb130ce0b1ab5323e4fc70",
                "sha256": "30095a01364aea60690632a005ebeb5c1c59367fe4c51425ebe3988998d8d957"
            },
            "downloads": -1,
            "filename": "life123-1.0rc6.tar.gz",
            "has_sig": false,
            "md5_digest": "e47c59b6dfbb130ce0b1ab5323e4fc70",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.9",
            "size": 176245,
            "upload_time": "2025-09-04T21:34:55",
            "upload_time_iso_8601": "2025-09-04T21:34:55.871073Z",
            "url": "https://files.pythonhosted.org/packages/dd/38/e46d27c6eb9d4878e3d32db9cf77d1dd4f978347da455624821e70267c7b/life123-1.0rc6.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-09-04 21:34:55",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "BrainAnnex",
    "github_project": "life123",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "requirements": [
        {
            "name": "plotly",
            "specs": [
                [
                    "==",
                    "5.24.1"
                ]
            ]
        },
        {
            "name": "numpy",
            "specs": [
                [
                    "==",
                    "1.26.4"
                ]
            ]
        },
        {
            "name": "scipy",
            "specs": [
                [
                    "==",
                    "1.13.1"
                ]
            ]
        },
        {
            "name": "pandas",
            "specs": [
                [
                    "==",
                    "1.5.3"
                ]
            ]
        },
        {
            "name": "jsonschema",
            "specs": [
                [
                    "==",
                    "4.18.6"
                ]
            ]
        },
        {
            "name": "jupyterlab",
            "specs": [
                [
                    "==",
                    "3.6.8"
                ]
            ]
        },
        {
            "name": "jupytext",
            "specs": [
                [
                    "==",
                    "1.15.2"
                ]
            ]
        },
        {
            "name": "ipynbname",
            "specs": [
                [
                    "==",
                    "2024.1.0.0"
                ]
            ]
        },
        {
            "name": "pytest",
            "specs": [
                [
                    "==",
                    "6.2.5"
                ]
            ]
        }
    ],
    "lcname": "life123"
}
        
Elapsed time: 1.82964s