pyDSA-core


NamepyDSA-core JSON
Version 1.4.1 PyPI version JSON
download
home_pagehttps://framagit.org/gabylaunay/pyDSA_core
SummaryPython Drop Shape Analyzer
upload_time2024-04-02 19:44:09
maintainerNone
docs_urlNone
authorGaby Launay
requires_pythonNone
licenseNone
keywords dsa drop shape contact angle hysteresis
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            <div align="center">
  <img width=500px" src="https://framagit.org/gabylaunay/pyDSA_core/raw/master/branding/pyDSA_logo_python_text.svg"><br><br>
</div>

# PyDSA_core: python3 package for drop shape analysis.

## Features

PyDSA_core allow to import videos and images of droplets and to get their properties, including

  - Drop edges positions
  - Contact angles
  - Contact angle hysteresis
  - Radius
  - Volume
  - Triple point positions (for SLIPS surfaces)
  - ...

A Graphical interface is also available [here](https://framagit.org/gabylaunay/pyDSA_gui).

A tutorial is available [here](https://gabylaunay.github.io/Python-cookbook/).

## Dependencies

pyDSA_core relies on matplotlib, numpy, scipy, IMTreatment and OpenCV.

## Installation

``pip install pydsa_core``

To update pyDSA_core, use:

``pip install -U pydsa_core``

## Citing this software

If PyDSA_core have been usefull for you, please consider citing it:
```
Launay G. PyDSA: Drop shape analysis in Python, 2018-, https://framagit.org/gabylaunay/pyDSA_core [Online; accessed <today>].
```

bibtex entry:
``` bibtex
@Misc{launay_pydsa_2018,
  author =    {Gaby Launay},
  title =     {{PyDSA}: Drop shape analysis in {Python}},
  year =      {2018--},
  url = "https://framagit.org/gabylaunay/pyDSA_core",
  note = {[Online; accessed <today>]}
}

```

            

Raw data

            {
    "_id": null,
    "home_page": "https://framagit.org/gabylaunay/pyDSA_core",
    "name": "pyDSA-core",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "DSA drop shape contact angle hysteresis",
    "author": "Gaby Launay",
    "author_email": "gaby.launay@protonmail.com",
    "download_url": "https://files.pythonhosted.org/packages/6e/c8/c39a3f5e9608f0ce35aba2d77497690e74e7e3f2bb2b14c8c83662e67d05/pyDSA_core-1.4.1.tar.gz",
    "platform": null,
    "description": "<div align=\"center\">\n  <img width=500px\" src=\"https://framagit.org/gabylaunay/pyDSA_core/raw/master/branding/pyDSA_logo_python_text.svg\"><br><br>\n</div>\n\n# PyDSA_core: python3 package for drop shape analysis.\n\n## Features\n\nPyDSA_core allow to import videos and images of droplets and to get their properties, including\n\n  - Drop edges positions\n  - Contact angles\n  - Contact angle hysteresis\n  - Radius\n  - Volume\n  - Triple point positions (for SLIPS surfaces)\n  - ...\n\nA Graphical interface is also available [here](https://framagit.org/gabylaunay/pyDSA_gui).\n\nA tutorial is available [here](https://gabylaunay.github.io/Python-cookbook/).\n\n## Dependencies\n\npyDSA_core relies on matplotlib, numpy, scipy, IMTreatment and OpenCV.\n\n## Installation\n\n``pip install pydsa_core``\n\nTo update pyDSA_core, use:\n\n``pip install -U pydsa_core``\n\n## Citing this software\n\nIf PyDSA_core have been usefull for you, please consider citing it:\n```\nLaunay G. PyDSA: Drop shape analysis in Python, 2018-, https://framagit.org/gabylaunay/pyDSA_core [Online; accessed <today>].\n```\n\nbibtex entry:\n``` bibtex\n@Misc{launay_pydsa_2018,\n  author =    {Gaby Launay},\n  title =     {{PyDSA}: Drop shape analysis in {Python}},\n  year =      {2018--},\n  url = \"https://framagit.org/gabylaunay/pyDSA_core\",\n  note = {[Online; accessed <today>]}\n}\n\n```\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "Python Drop Shape Analyzer",
    "version": "1.4.1",
    "project_urls": {
        "Homepage": "https://framagit.org/gabylaunay/pyDSA_core"
    },
    "split_keywords": [
        "dsa",
        "drop",
        "shape",
        "contact",
        "angle",
        "hysteresis"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "b752300e5baf9d40501cf6d3f777ee1c2e6aa827c383e73193e5390ec46df7d8",
                "md5": "0a173f4265242b296162ca6e46866edf",
                "sha256": "0bbfe1064fdf93919ade07e5d2614b9d5b0deb445f2bf9dbe9c1447cf68c46bd"
            },
            "downloads": -1,
            "filename": "pyDSA_core-1.4.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "0a173f4265242b296162ca6e46866edf",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 56630,
            "upload_time": "2024-04-02T19:44:07",
            "upload_time_iso_8601": "2024-04-02T19:44:07.350841Z",
            "url": "https://files.pythonhosted.org/packages/b7/52/300e5baf9d40501cf6d3f777ee1c2e6aa827c383e73193e5390ec46df7d8/pyDSA_core-1.4.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "6ec8c39a3f5e9608f0ce35aba2d77497690e74e7e3f2bb2b14c8c83662e67d05",
                "md5": "4598a744362aa925825000287e4b1b93",
                "sha256": "b70d48924d2614466f8e0de5e2b194eefb31cd36cd3394f8619976ba61fe1a05"
            },
            "downloads": -1,
            "filename": "pyDSA_core-1.4.1.tar.gz",
            "has_sig": false,
            "md5_digest": "4598a744362aa925825000287e4b1b93",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 55063,
            "upload_time": "2024-04-02T19:44:09",
            "upload_time_iso_8601": "2024-04-02T19:44:09.237012Z",
            "url": "https://files.pythonhosted.org/packages/6e/c8/c39a3f5e9608f0ce35aba2d77497690e74e7e3f2bb2b14c8c83662e67d05/pyDSA_core-1.4.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-04-02 19:44:09",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "pydsa-core"
}
        
Elapsed time: 0.45084s