drap

Name	drap JSON
Version	0.0.2.post1 JSON
	download
home_page	None
Summary	Tool for analyzing droplet size and concentration using video and EDF images
upload_time	2025-08-13 00:33:44
maintainer	None
docs_url	None
author	None
requires_python	>=3.8
license	MIT
keywords	saxs x-ray edf opencv pyqt5 droplet
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Droplet Computer program

This package allows the analysis of videos and images in EDF format to extract 
physical parameters of droplets in acoustic levitation or other experimental techniques. 
The graphical user interface provides:

- Region of interest cropping  
- Morphological analysis  
- Polynomial fitting of data  
- PDF report generation  

## How to use

Install:

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "drap",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": null,
    "keywords": "saxs, x-ray, edf, opencv, pyqt5, droplet",
    "author": null,
    "author_email": "\"Gabriel Braga Marques Teobaldo, Oleg Prymak, Natalie Wolff,  Matthias Epple, Marco Aur\u00e9lio Brizzotti Andrade, C\u00e1ssio Alves and Cristiano Luis Pinto de Oliveira\" <alves.casssio@gmail.com>",
    "download_url": "https://files.pythonhosted.org/packages/ed/b4/dd47e47936131fc18adac6785d64cd8d20782e3f3bc21a51cc4216b1bd8e/drap-0.0.2.post1.tar.gz",
    "platform": null,
    "description": "# Droplet Computer program\n\nThis package allows the analysis of videos and images in EDF format to extract \nphysical parameters of droplets in acoustic levitation or other experimental techniques. \nThe graphical user interface provides:\n\n- Region of interest cropping  \n- Morphological analysis  \n- Polynomial fitting of data  \n- PDF report generation  \n\n## How to use\n\nInstall:\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Tool for analyzing droplet size and concentration using video and EDF images",
    "version": "0.0.2.post1",
    "project_urls": {
        "Homepage": "https://test.pypi.org/project/DrAP/",
        "Source": "https://test.pypi.org/project/DrAP/"
    },
    "split_keywords": [
        "saxs",
        " x-ray",
        " edf",
        " opencv",
        " pyqt5",
        " droplet"
    ],
    "urls": [
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "9df1f2bc8fcd7f15162d27ed483f06baeb6fe9afaf776639cfce2be8d6b103f1",
                "md5": "4e1b51218858d0640296470057d18417",
                "sha256": "913332c416ed4db9080fbf1213ee70d08249167d4f5e494037c383c43af2fa59"
            },
            "downloads": -1,
            "filename": "drap-0.0.2.post1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "4e1b51218858d0640296470057d18417",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8",
            "size": 6311,
            "upload_time": "2025-08-13T00:33:42",
            "upload_time_iso_8601": "2025-08-13T00:33:42.899288Z",
            "url": "https://files.pythonhosted.org/packages/9d/f1/f2bc8fcd7f15162d27ed483f06baeb6fe9afaf776639cfce2be8d6b103f1/drap-0.0.2.post1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "edb4dd47e47936131fc18adac6785d64cd8d20782e3f3bc21a51cc4216b1bd8e",
                "md5": "2369bc4eea768234fc46ab0e63f9a844",
                "sha256": "2ebaf4aba5d6af626c3f497e65ad775d99030901e5072674f6e4e482e8b7c7a0"
            },
            "downloads": -1,
            "filename": "drap-0.0.2.post1.tar.gz",
            "has_sig": false,
            "md5_digest": "2369bc4eea768234fc46ab0e63f9a844",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 4143,
            "upload_time": "2025-08-13T00:33:44",
            "upload_time_iso_8601": "2025-08-13T00:33:44.841782Z",
            "url": "https://files.pythonhosted.org/packages/ed/b4/dd47e47936131fc18adac6785d64cd8d20782e3f3bc21a51cc4216b1bd8e/drap-0.0.2.post1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-08-13 00:33:44",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "drap"
}