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neuromusic/napari-plugins.ipynb

Created March 17, 2021 20:18
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script to pull napari plugin info from pypi
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napari-plugins.ipynb
{
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" \"has_sig\": false,\n",
" \"md5_digest\": \"d2140c4b74f71af45afa46e0defecea7\",\n",
" \"packagetype\": \"bdist_wheel\",\n",
" \"python_version\": \"py2.py3\",\n",
" \"requires_python\": \">=3.7\",\n",
" \"size\": 6015,\n",
" \"upload_time\": \"2020-12-14T07:30:26\",\n",
" \"upload_time_iso_8601\": \"2020-12-14T07:30:26.366917Z\",\n",
" \"url\": \"https://files.pythonhosted.org/packages/c5/25/86011a70876e75632d17c2525d48d7221c7cff468cf67dcdd320ed58734b/napari_aicsimageio-0.2.0-py2.py3-none-any.whl\",\n",
" \"yanked\": false,\n",
" \"yanked_reason\": null\n",
" },\n",
" {\n",
" \"comment_text\": \"\",\n",
" \"digests\": {\n",
" \"md5\": \"e0f45c041c0101d63528c42f9564a931\",\n",
" \"sha256\": \"7df8b9756afd92b608f959437814d823d1395242e67ad275b44b105845df2675\"\n",
" },\n",
" \"downloads\": -1,\n",
" \"filename\": \"napari-aicsimageio-0.2.0.tar.gz\",\n",
" \"has_sig\": false,\n",
" \"md5_digest\": \"e0f45c041c0101d63528c42f9564a931\",\n",
" \"packagetype\": \"sdist\",\n",
" \"python_version\": \"source\",\n",
" \"requires_python\": \">=3.7\",\n",
" \"size\": 6272,\n",
" \"upload_time\": \"2020-12-14T07:30:27\",\n",
" \"upload_time_iso_8601\": \"2020-12-14T07:30:27.357730Z\",\n",
" \"url\": \"https://files.pythonhosted.org/packages/74/ea/ec991c7a00366e93de3f2333e999a6db67923d68d541704482269c3826e1/napari-aicsimageio-0.2.0.tar.gz\",\n",
" \"yanked\": false,\n",
" \"yanked_reason\": null\n",
" }\n",
" ]\n",
"}\n"
]
}
],
"source": [
"import json\n",
"from urllib import request\n",
"\n",
"def pprint(data):\n",
" print(json.dumps(data, indent=4, sort_keys=True))\n",
"\n",
" \n",
"def get_package_data(package):\n",
" url = url_template.format(package)\n",
"\n",
" with request.urlopen(url) as f:\n",
" response = f.read()\n",
" data = json.loads(response)\n",
" return data\n",
"\n",
"data = get_package_data(package)\n",
"pprint(data)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {},
"outputs": [],
"source": [
"queries = {}"
]
},
{
"cell_type": "code",
"execution_count": 89,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'napari-aicsimageio'"
]
},
"execution_count": 89,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_name(data):\n",
" return data['info'].get('name',None)\n",
"queries['name'] = get_name\n",
"queries['name'](data)"
]
},
{
"cell_type": "code",
"execution_count": 90,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'AICSImageIO bindings for napari'"
]
},
"execution_count": 90,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_summary(data):\n",
" return data['info'].get('summary',None)\n",
"queries['summary'] = get_summary\n",
"queries['summary'](data)"
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'# napari-aicsimageio\\n\\n[![Build Status](https://github.com/AllenCellModeling/napari-aicsimageio/workflows/Build%20Master/badge.svg)](https://github.com/AllenCellModeling/napari-aicsimageio/actions)\\n[![Code Coverage](https://codecov.io/gh/AllenCellModeling/napari-aicsimageio/branch/master/graph/badge.svg)](https://codecov.io/gh/AllenCellModeling/napari-aicsimageio)\\n\\nAICSImageIO bindings for napari\\n\\n---\\n\\n## Features\\n* Supports reading metadata and imaging data for:\\n * `CZI`\\n * `OME-TIFF`\\n * `TIFF`\\n * Any formats supported by [aicsimageio](https://github.com/AllenCellModeling/aicsimageio)\\n * Any additional format supported by [imageio](https://github.com/imageio/imageio)\\n* Two variants of the AICSImageIO bindings:\\n * `aicsimageio`, which reads the image fully into memory\\n * `aicsimageio-delayed`, which delays reading YX planes until requested for large file support\\n\\n## Installation\\n**Stable Release:** `pip install napari-aicsimageio`<br>\\n**Development Head:** `pip install git+https://github.com/AllenCellModeling/napari-aicsimageio.git`\\n\\n## Development\\nSee [CONTRIBUTING.md](CONTRIBUTING.md) for information related to developing the code.\\n\\n***Free software: BSD-3-Clause***\\n\\n\\n'"
]
},
"execution_count": 91,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_description(data):\n",
" return data['info'].get('description',None)\n",
"queries['description'] = get_description\n",
"queries['description'](data)"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'text/markdown'"
]
},
"execution_count": 92,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_description_content_type(data):\n",
" return data['info'].get('description_content_type',None)\n",
"queries['description_content_type'] = get_description_content_type\n",
"queries['description_content_type'](data)"
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'Jackson Maxfield Brown'"
]
},
"execution_count": 93,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_author(data):\n",
" return data['info'].get('author',None)\n",
"queries['author'] = get_author\n",
"queries['author'](data)"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'jmaxfieldbrown@gmail.com'"
]
},
"execution_count": 94,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_author_email(data):\n",
" return data['info'].get('author_email',None)\n",
"queries['author_email'] = get_author_email\n",
"queries['author_email'](data)"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'BSD-3-Clause'"
]
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_license(data):\n",
" return data['info']['license']\n",
"queries['license'] = get_license\n",
"queries['license'](data)"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'>=3.7'"
]
},
"execution_count": 96,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_python_versions(data):\n",
" return data['info'].get('requires_python',None)\n",
"queries['requires_python'] = get_python_versions\n",
"queries['requires_python'](data)"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {},
"outputs": [],
"source": [
"# operating system"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['Scientific/Engineering',\n",
" 'Scientific/Engineering :: Bio-Informatics',\n",
" 'Scientific/Engineering :: Information Analysis',\n",
" 'Scientific/Engineering :: Visualization']"
]
},
"execution_count": 98,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# topics\n",
"\n",
"def get_topics(data):\n",
" return [cl[9:] for cl in data['info']['classifiers'] if cl.startswith('Topic')]\n",
" \n",
"queries['topics'] = get_topics\n",
"queries['topics'](data)"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['aicsimageio',\n",
" 'napari-plugin-engine',\n",
" 'aicsimageio',\n",
" 'napari-plugin-engine',\n",
" 'pytest-runner',\n",
" 'black',\n",
" 'codecov',\n",
" 'flake8',\n",
" 'flake8-debugger',\n",
" 'napari[pyqt5]',\n",
" 'pytest',\n",
" 'pytest-cov',\n",
" 'pytest-raises',\n",
" 'bumpversion',\n",
" 'coverage',\n",
" 'ipython',\n",
" 'm2r',\n",
" 'Sphinx',\n",
" 'sphinx-rtd-theme',\n",
" 'tox',\n",
" 'twine',\n",
" 'wheel',\n",
" 'pytest-runner',\n",
" 'black',\n",
" 'codecov',\n",
" 'flake8',\n",
" 'flake8-debugger',\n",
" 'napari[pyqt5]',\n",
" 'pytest',\n",
" 'pytest-cov',\n",
" 'pytest-raises',\n",
" 'bumpversion',\n",
" 'coverage',\n",
" 'ipython',\n",
" 'm2r',\n",
" 'Sphinx',\n",
" 'sphinx-rtd-theme',\n",
" 'tox',\n",
" 'twine',\n",
" 'wheel',\n",
" 'pytest-runner',\n",
" 'black',\n",
" 'codecov',\n",
" 'flake8',\n",
" 'flake8-debugger',\n",
" 'napari[pyqt5]',\n",
" 'pytest',\n",
" 'pytest-cov',\n",
" 'pytest-raises']"
]
},
"execution_count": 99,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_requirements(data):\n",
" return [req.split(' ')[0] for req in data['info'].get('requires_dist',[])]\n",
"queries['requirements'] = get_requirements\n",
"queries['requirements'](data)"
]
},
{
"cell_type": "code",
"execution_count": 103,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'https://github.com/AllenCellModeling/napari-aicsimageio'"
]
},
"execution_count": 103,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_homepage(data):\n",
" return data['info'].get('home_page',None)\n",
"queries['homepage'] = get_homepage\n",
"queries['homepage'](data)"
]
},
{
"cell_type": "code",
"execution_count": 112,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 112,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'1' < ''"
]
},
{
"cell_type": "code",
"execution_count": 131,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'2020-12-14T07:30:26.366917Z'"
]
},
"execution_count": 131,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_latest_release(data):\n",
" latest = {}\n",
" for version, release in data['releases'].items():\n",
" upload_time = release[0]['upload_time_iso_8601']\n",
" if upload_time > latest.get('datetime', ''):\n",
" latest['datetime'] = upload_time\n",
" latest['version'] = version\n",
" return latest\n",
"\n",
"def get_release_date(data):\n",
" return get_latest_release(data)['datetime']\n",
"\n",
"\n",
"queries['release_date'] = get_release_date\n",
"queries['release_date'](data)"
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0.2.0'"
]
},
"execution_count": 132,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_version(data):\n",
" return get_latest_release(data)['version']\n",
"\n",
"queries['version'] = get_version\n",
"queries['version'](data)"
]
},
{
"cell_type": "code",
"execution_count": 133,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'2020-03-26T20:10:54.889461Z'"
]
},
"execution_count": 133,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def get_first_released(data): \n",
" first = {}\n",
" for version, release in data['releases'].items():\n",
" upload_time = release[0]['upload_time_iso_8601']\n",
" if upload_time < first.get('datetime', 'X'):\n",
" first['datetime'] = upload_time\n",
" first['verstion'] = version\n",
" return first['datetime']\n",
"\n",
"queries['first_released'] = get_first_released\n",
"queries['first_released'](data)"
]
},
{
"cell_type": "code",
"execution_count": 138,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{\n",
" \"author\": \"Jackson Maxfield Brown\",\n",
" \"author_email\": \"jmaxfieldbrown@gmail.com\",\n",
" \"description\": \"# napari-aicsimageio\\n\\n[![Build Status](https://github.com/AllenCellModeling/napari-aicsimageio/workflows/Build%20Master/badge.svg)](https://github.com/AllenCellModeling/napari-aicsimageio/actions)\\n[![Code Coverage](https://codecov.io/gh/AllenCellModeling/napari-aicsimageio/branch/master/graph/badge.svg)](https://codecov.io/gh/AllenCellModeling/napari-aicsimageio)\\n\\nAICSImageIO bindings for napari\\n\\n---\\n\\n## Features\\n* Supports reading metadata and imaging data for:\\n * `CZI`\\n * `OME-TIFF`\\n * `TIFF`\\n * Any formats supported by [aicsimageio](https://github.com/AllenCellModeling/aicsimageio)\\n * Any additional format supported by [imageio](https://github.com/imageio/imageio)\\n* Two variants of the AICSImageIO bindings:\\n * `aicsimageio`, which reads the image fully into memory\\n * `aicsimageio-delayed`, which delays reading YX planes until requested for large file support\\n\\n## Installation\\n**Stable Release:** `pip install napari-aicsimageio`<br>\\n**Development Head:** `pip install git+https://github.com/AllenCellModeling/napari-aicsimageio.git`\\n\\n## Development\\nSee [CONTRIBUTING.md](CONTRIBUTING.md) for information related to developing the code.\\n\\n***Free software: BSD-3-Clause***\\n\\n\\n\",\n",
" \"description_content_type\": \"text/markdown\",\n",
" \"first_released\": \"2020-03-26T20:10:54.889461Z\",\n",
" \"homepage\": \"https://github.com/AllenCellModeling/napari-aicsimageio\",\n",
" \"license\": \"BSD-3-Clause\",\n",
" \"name\": \"napari-aicsimageio\",\n",
" \"release_date\": \"2020-12-14T07:30:26.366917Z\",\n",
" \"requirements\": [\n",
" \"aicsimageio\",\n",
" \"napari-plugin-engine\",\n",
" \"aicsimageio\",\n",
" \"napari-plugin-engine\",\n",
" \"pytest-runner\",\n",
" \"black\",\n",
" \"codecov\",\n",
" \"flake8\",\n",
" \"flake8-debugger\",\n",
" \"napari[pyqt5]\",\n",
" \"pytest\",\n",
" \"pytest-cov\",\n",
" \"pytest-raises\",\n",
" \"bumpversion\",\n",
" \"coverage\",\n",
" \"ipython\",\n",
" \"m2r\",\n",
" \"Sphinx\",\n",
" \"sphinx-rtd-theme\",\n",
" \"tox\",\n",
" \"twine\",\n",
" \"wheel\",\n",
" \"pytest-runner\",\n",
" \"black\",\n",
" \"codecov\",\n",
" \"flake8\",\n",
" \"flake8-debugger\",\n",
" \"napari[pyqt5]\",\n",
" \"pytest\",\n",
" \"pytest-cov\",\n",
" \"pytest-raises\",\n",
" \"bumpversion\",\n",
" \"coverage\",\n",
" \"ipython\",\n",
" \"m2r\",\n",
" \"Sphinx\",\n",
" \"sphinx-rtd-theme\",\n",
" \"tox\",\n",
" \"twine\",\n",
" \"wheel\",\n",
" \"pytest-runner\",\n",
" \"black\",\n",
" \"codecov\",\n",
" \"flake8\",\n",
" \"flake8-debugger\",\n",
" \"napari[pyqt5]\",\n",
" \"pytest\",\n",
" \"pytest-cov\",\n",
" \"pytest-raises\"\n",
" ],\n",
" \"requires_python\": \">=3.7\",\n",
" \"summary\": \"AICSImageIO bindings for napari\",\n",
" \"topics\": [\n",
" \"Scientific/Engineering\",\n",
" \"Scientific/Engineering :: Bio-Informatics\",\n",
" \"Scientific/Engineering :: Information Analysis\",\n",
" \"Scientific/Engineering :: Visualization\"\n",
" ],\n",
" \"version\": \"0.2.0\"\n",
"}\n"
]
}
],
"source": [
"def etl(package):\n",
" data = get_package_data(package)\n",
" extracted = {}\n",
" for key, func in queries.items():\n",
" extracted[key] = func(data)\n",
" return extracted\n",
"\n",
"extracted = etl(package)\n",
"pprint(extracted)"
]
},
{
"cell_type": "code",
"execution_count": 141,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 142,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>name</th>\n",
" <th>summary</th>\n",
" <th>description</th>\n",
" <th>description_content_type</th>\n",
" <th>author</th>\n",
" <th>author_email</th>\n",
" <th>license</th>\n",
" <th>requires_python</th>\n",
" <th>topics</th>\n",
" <th>requirements</th>\n",
" <th>homepage</th>\n",
" <th>release_date</th>\n",
" <th>version</th>\n",
" <th>first_released</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>napari-aicsimageio</td>\n",
" <td>AICSImageIO bindings for napari</td>\n",
" <td># napari-aicsimageio\\n\\n[![Build Status](https...</td>\n",
" <td>text/markdown</td>\n",
" <td>Jackson Maxfield Brown</td>\n",
" <td>jmaxfieldbrown@gmail.com</td>\n",
" <td>BSD-3-Clause</td>\n",
" <td>&gt;=3.7</td>\n",
" <td>[Scientific/Engineering, Scientific/Engineerin...</td>\n",
" <td>[aicsimageio, napari-plugin-engine, aicsimagei...</td>\n",
" <td>https://github.com/AllenCellModeling/napari-ai...</td>\n",
" <td>2020-12-14T07:30:26.366917Z</td>\n",
" <td>0.2.0</td>\n",
" <td>2020-03-26T20:10:54.889461Z</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>affinder</td>\n",
" <td>Quickly find the affine matrix mapping one ima...</td>\n",
" <td># affinder\\n\\n[![License](https://img.shields....</td>\n",
" <td>text/markdown</td>\n",
" <td>Juan Nunez-Iglesias</td>\n",
" <td>juan.nunez-iglesias@monash.edu</td>\n",
" <td>BSD-3</td>\n",
" <td>&gt;=3.7</td>\n",
" <td>[Software Development :: Testing]</td>\n",
" <td>[napari-plugin-engine, napari, numpy, scikit-i...</td>\n",
" <td>https://github.com/jni/affinder</td>\n",
" <td>2021-02-04T10:12:07.298699Z</td>\n",
" <td>0.1.0</td>\n",
" <td>2021-02-04T10:12:07.298699Z</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>napping</td>\n",
" <td>Control point mapping and coordination transfo...</td>\n",
" <td># napping\\n\\n![PyPI](https://img.shields.io/py...</td>\n",
" <td>text/markdown</td>\n",
" <td>Jonas Windhager</td>\n",
" <td>jonas.windhager@uzh.ch</td>\n",
" <td>MIT</td>\n",
" <td>&gt;=3.7</td>\n",
" <td>[Scientific/Engineering :: Bio-Informatics, Sc...</td>\n",
" <td>[imagecodecs, napari[all], napari-plugin-engin...</td>\n",
" <td>https://github.com/BodenmillerGroup/napping</td>\n",
" <td>2021-03-15T23:01:07.633925Z</td>\n",
" <td>0.1.7</td>\n",
" <td>2021-02-02T20:57:19.679669Z</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>napari-pyclesperanto-assistant</td>\n",
" <td>OpenCL based GPU-accelerated image processing ...</td>\n",
" <td># napari-pyclesperanto-assistant\\nThe py-clEsp...</td>\n",
" <td>text/markdown</td>\n",
" <td>Robert Haase</td>\n",
" <td>robert.haase@tu-dresden.de</td>\n",
" <td></td>\n",
" <td>&gt;=3.6</td>\n",
" <td>[]</td>\n",
" <td>[numpy, pyopencl, toolz, scikit-image, napari,...</td>\n",
" <td>https://github.com/clesperanto/napari_pyclespe...</td>\n",
" <td>2021-02-13T13:24:04.922531Z</td>\n",
" <td>0.7.2</td>\n",
" <td>2020-12-19T16:01:10.190324Z</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>napari-cellfinder</td>\n",
" <td>Visualise cellfinder results with napari</td>\n",
" <td># napari-cellfinder\\n\\n[![License](https://img...</td>\n",
" <td>text/markdown</td>\n",
" <td>Adam Tyson</td>\n",
" <td>adam.tyson@ucl.ac.uk</td>\n",
" <td>MIT</td>\n",
" <td>&gt;=3.6</td>\n",
" <td>[Software Development :: Testing]</td>\n",
" <td>[napari-plugin-engine, imlib, bg-space, napari...</td>\n",
" <td>https://github.com/brainglobe/napari-cellfinder</td>\n",
" <td>2021-01-14T15:41:12.438954Z</td>\n",
" <td>0.2.1</td>\n",
" <td>2020-08-14T09:07:02.660802Z</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" name \\\n",
"0 napari-aicsimageio \n",
"1 affinder \n",
"2 napping \n",
"3 napari-pyclesperanto-assistant \n",
"4 napari-cellfinder \n",
"\n",
" summary \\\n",
"0 AICSImageIO bindings for napari \n",
"1 Quickly find the affine matrix mapping one ima... \n",
"2 Control point mapping and coordination transfo... \n",
"3 OpenCL based GPU-accelerated image processing ... \n",
"4 Visualise cellfinder results with napari \n",
"\n",
" description description_content_type \\\n",
"0 # napari-aicsimageio\\n\\n[![Build Status](https... text/markdown \n",
"1 # affinder\\n\\n[![License](https://img.shields.... text/markdown \n",
"2 # napping\\n\\n![PyPI](https://img.shields.io/py... text/markdown \n",
"3 # napari-pyclesperanto-assistant\\nThe py-clEsp... text/markdown \n",
"4 # napari-cellfinder\\n\\n[![License](https://img... text/markdown \n",
"\n",
" author author_email license \\\n",
"0 Jackson Maxfield Brown jmaxfieldbrown@gmail.com BSD-3-Clause \n",
"1 Juan Nunez-Iglesias juan.nunez-iglesias@monash.edu BSD-3 \n",
"2 Jonas Windhager jonas.windhager@uzh.ch MIT \n",
"3 Robert Haase robert.haase@tu-dresden.de \n",
"4 Adam Tyson adam.tyson@ucl.ac.uk MIT \n",
"\n",
" requires_python topics \\\n",
"0 >=3.7 [Scientific/Engineering, Scientific/Engineerin... \n",
"1 >=3.7 [Software Development :: Testing] \n",
"2 >=3.7 [Scientific/Engineering :: Bio-Informatics, Sc... \n",
"3 >=3.6 [] \n",
"4 >=3.6 [Software Development :: Testing] \n",
"\n",
" requirements \\\n",
"0 [aicsimageio, napari-plugin-engine, aicsimagei... \n",
"1 [napari-plugin-engine, napari, numpy, scikit-i... \n",
"2 [imagecodecs, napari[all], napari-plugin-engin... \n",
"3 [numpy, pyopencl, toolz, scikit-image, napari,... \n",
"4 [napari-plugin-engine, imlib, bg-space, napari... \n",
"\n",
" homepage \\\n",
"0 https://github.com/AllenCellModeling/napari-ai... \n",
"1 https://github.com/jni/affinder \n",
"2 https://github.com/BodenmillerGroup/napping \n",
"3 https://github.com/clesperanto/napari_pyclespe... \n",
"4 https://github.com/brainglobe/napari-cellfinder \n",
"\n",
" release_date version first_released \n",
"0 2020-12-14T07:30:26.366917Z 0.2.0 2020-03-26T20:10:54.889461Z \n",
"1 2021-02-04T10:12:07.298699Z 0.1.0 2021-02-04T10:12:07.298699Z \n",
"2 2021-03-15T23:01:07.633925Z 0.1.7 2021-02-02T20:57:19.679669Z \n",
"3 2021-02-13T13:24:04.922531Z 0.7.2 2020-12-19T16:01:10.190324Z \n",
"4 2021-01-14T15:41:12.438954Z 0.2.1 2020-08-14T09:07:02.660802Z "
]
},
"execution_count": 142,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.DataFrame([etl(package) for package in packages])\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 147,
"metadata": {},
"outputs": [],
"source": [
"df.to_csv('napari_plugins.csv')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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