# scikit-ferm
**scikit-ferm** is a Python package designed to generate synthetic fermentation datasets and model microbial growth dynamics. Whether you're studying food fermentation (like yogurt production) or simulating microbial behavior for research and development, scikit-ferm provides flexible tools to create realistic datasets based on established growth models.
Raw data
{
"_id": null,
"home_page": null,
"name": "scikit-ferm",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.12",
"maintainer_email": null,
"keywords": "acidification, fermentation, python, scikit-ferm",
"author": null,
"author_email": "Aschwin Schilperoort <author@example.com>",
"download_url": "https://files.pythonhosted.org/packages/f4/d6/91521a7917c1536fcceb39a1514cd6bf6b866110ecf1431876eedb0282b0/scikit_ferm-0.1.0.tar.gz",
"platform": null,
"description": "# scikit-ferm\n\n**scikit-ferm** is a Python package designed to generate synthetic fermentation datasets and model microbial growth dynamics. Whether you're studying food fermentation (like yogurt production) or simulating microbial behavior for research and development, scikit-ferm provides flexible tools to create realistic datasets based on established growth models.",
"bugtrack_url": null,
"license": null,
"summary": "A scikit-learn compatible package for fermentations.",
"version": "0.1.0",
"project_urls": {
"Homepage": "https://aschwins.github.io/scikit-ferm/",
"Issues": "https://github.com/Aschwins/scikit-ferm/issues"
},
"split_keywords": [
"acidification",
" fermentation",
" python",
" scikit-ferm"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "807c83f0db60a422b44155587c2261e0210606ba1bf3685e1de80c4b7c0c64a7",
"md5": "6962b3df65f1977676b3a5da57f9892b",
"sha256": "9ebd69fa844bd6fd62407da419747a8fd72911c60d72fd5264776ed551e9ee15"
},
"downloads": -1,
"filename": "scikit_ferm-0.1.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "6962b3df65f1977676b3a5da57f9892b",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.12",
"size": 7236,
"upload_time": "2025-01-23T15:55:33",
"upload_time_iso_8601": "2025-01-23T15:55:33.174093Z",
"url": "https://files.pythonhosted.org/packages/80/7c/83f0db60a422b44155587c2261e0210606ba1bf3685e1de80c4b7c0c64a7/scikit_ferm-0.1.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "f4d691521a7917c1536fcceb39a1514cd6bf6b866110ecf1431876eedb0282b0",
"md5": "13d6c99b9163baaa107a4ac6495e1363",
"sha256": "762d1a304b7d571b52b6d95d82e2b2a32389dbff1c3d0402084bb16ebb36d34f"
},
"downloads": -1,
"filename": "scikit_ferm-0.1.0.tar.gz",
"has_sig": false,
"md5_digest": "13d6c99b9163baaa107a4ac6495e1363",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.12",
"size": 5850,
"upload_time": "2025-01-23T15:55:34",
"upload_time_iso_8601": "2025-01-23T15:55:34.467038Z",
"url": "https://files.pythonhosted.org/packages/f4/d6/91521a7917c1536fcceb39a1514cd6bf6b866110ecf1431876eedb0282b0/scikit_ferm-0.1.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-01-23 15:55:34",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "Aschwins",
"github_project": "scikit-ferm",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "scikit-ferm"
}
JSON
