QGIS Python Plugins Repository
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Name ↓ | Featured | Downloads | Author | Latest Plugin Version | Created on | Stars (votes) | Stable | Exp. | |
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Morpheo | — | 5798 | Claire Lagesse, 3Liz, Gilles Vuidel, Barnabé Perrault, Gaspard Quentin | 2023-07-26T16:34:46.722913+00:00 | 2017-05-15T14:37:59.230562+00:00 | (9) |
1.0.5 | 0.8.1 | |
Graph construction and analysis from linestrings | |||||||||
Morfofrac | — | 1279 | Jair Arriaga, Tonatiuh Meaney. | 2021-10-18T20:12:47.011692+00:00 | 2021-10-11T15:34:52.787911+00:00 | (1) |
0.2 | 0.1 | |
Get the fractal dimension | |||||||||
MOPST | — | 314 | Nick Bearman and Alexander Bruy | 2022-12-22T10:56:56.246793+00:00 | 2022-12-22T10:56:55.855242+00:00 | (2) |
1.0.0 | — | |
Mapping Opportunity & Pressures for Sustainable Tourism | |||||||||
MonParcellaire | — | 2859 | jhemmi.eu | 2022-05-18T12:38:27.589272+00:00 | 2020-03-30T13:04:02.892208+00:00 | (3) |
2.1 | — | |
Manage your parcels | |||||||||
Monokai Pro (Spectrum) Code Editor Color Scheme | — | 736 | silvio bentzien | 2021-02-20T13:14:32.500306+00:00 | 2021-02-20T13:14:30.759151+00:00 | (0) |
1.0 | — | |
Code editor color scheme heavily influenced by the Monokai Pro (Spectrum) color scheme by Wimer Hazenberg for Sublime Text and VS Code. | |||||||||
Monokai Code Editor Color Scheme | — | 892 | Nyall Dawson | 2020-10-22T01:52:19.876251+00:00 | 2020-10-22T01:52:19.578222+00:00 | (0) |
1.0 | — | |
Monokai color scheme for QGIS code editors. Originally developed by Wimer Hazenberg for Textmate. | |||||||||
Monitask | — | 1029 | zhouxu | 2023-10-13T01:50:44.169272+00:00 | 2023-10-12T03:53:11.311257+00:00 | (3) |
0.9.1 | — | |
a SAM (facebook segment anything model and its decendants) based geographic information extraction tool just by interactive click on remote sensing image, as well as an efficient geospatial labeling tool. While extracting geometries for geographic entities much more quickly, you can construct and optimize a land-cover classification system according to the nature characteristics of earth photo. To try it without difficult installation, please follow these links to download the compressed package (QGIS3.30.2-simplified_Monitask0.91.7z) which contains a portable QGIS3.30 with Monitask fully equipped. Just unzip the package into any disk root, and click the QGIS_Monitask icon to run. 1. Google Drive : https://drive.google.com/file/d/1o52WTYhLzT5zuSH8WLd2EusYyFFBvlyF/view?usp=sharing 2. Baidu Drive: https://pan.baidu.com/s/177Y0KY0rqxATunR1CcFRmw?pwd=yiqc <img src="https://user-images.githubusercontent.com/12957225/276595781-ce241cf3-f096-4ff2-b61d-c2bf3ec1121d.gif"> | |||||||||
moniQue | — | 215 | Sebastian Mikolka-Flöry | 2024-03-13T13:21:55.533490+00:00 | 2024-03-13T13:21:53.979580+00:00 | (6) |
0.1 | — | |
Monoplotting oblique images with uncertainty estimation. | |||||||||
mongo_memorizer | — | 4676 | Jelen | 2016-10-01T19:14:35.869985+00:00 | 2015-12-11T20:19:43.150164+00:00 | (3) |
0.2.1 | — | |
create memory layer from geojsons stored in mongo | |||||||||
MongoDB Layer | — | 590 | Romain Bruyère | 2024-05-10T12:59:51.982390+00:00 | 2024-03-19T18:50:57.479835+00:00 | (2) |
1.2.1 | — | |
This plugin gives the possibility to create a layer from MongoDB datasource | |||||||||
MongoConnector | — | 14138 | Maciej Kamiński Politechnika Wrocławska | 2021-03-30T09:59:22.846336+00:00 | 2015-06-30T21:24:20.566675+00:00 | (44) |
1.3.1 | — | |
QGIS plugin to add geospatial data from mongodb database. | |||||||||
MonetDBConnector | — | 434 | MonetDBSolutions | 2022-01-04T11:42:14.686526+00:00 | 2022-01-04T11:42:14.427112+00:00 | (0) |
1.0.0 | — | |
MonetDBConnector | |||||||||
MOLUSCE | — | 88893 | NextGIS | 2017-03-24T12:21:31.359172+00:00 | 2012-10-29T10:45:47.375336+00:00 | (140) |
3.0.13 | 2.h | |
Plugin provides a set of algorithms for land use change simulations such as ANN, LR, WoE, MCE. There is also validation using kappa statistics. | |||||||||
MOJXML Loader | — | 7790 | MIERUNE Inc. | 2023-11-16T10:40:14.804281+00:00 | 2023-03-17T08:20:21.177929+00:00 | (33) |
0.5.0 | — | |
This plugin is made for Japanese users. It converts Japanese "MOJ Map XML" (land registration polygon data) into geospatial formats. 法務省登記所備付地図データ(地図XML)の変換や読み込みを行います。 | |||||||||
Moisture and Water Index 2.0 | — | 706 | Keyla Alencar da Silva, Francisca Ruiz-Tagle, Erik Zimmemann y Maria Carolina Parodi. CONICET, UTEM y UNR | 2023-10-09T00:34:35.236729+00:00 | 2023-10-09T00:34:33.558938+00:00 | (1) |
2.0 | — | |
Este complemento calcula el índice NDWI con las imágenes del Landsat 8. | |||||||||
Moisture and Water Index | — | 2306 | Francisca Ruiz-Tagle Santander y Keyla Alencar da Silva UTEM UNR CONICET | 2023-10-27T21:49:35.574493+00:00 | 2022-12-19T22:27:27.105885+00:00 | (1) |
1.5.2 | — | |
Este complemento calcula el índice NDWI con las imágenes del Landsat 8. | |||||||||
Modzy | — | 2126 | Modzy | 2022-03-01T19:22:38.936496+00:00 | 2022-02-22T23:41:37.775225+00:00 | (6) |
0.21 | 0.2 | |
This plugin provides seamless access to Modzy's ML, DL and AI models. Please be sure to install the Modzy SDK to QGIS: - Mac OS X: In a terminal, execute: /Applications/QGIS.app/Contents/MacOS/bin/python3 -m pip install modzy-sdk - Windows: In a terminal, execute: C:\OSGeo4W\apps\Python39>pip install modzy-sdk To see more documentation, please view this page on Modzy's official documentation site. | |||||||||
Modular Layout Grid Guides | — | 352 | Alexei Schwab | 2024-03-11T12:41:48.755690+00:00 | 2024-03-11T12:41:47.322792+00:00 | (1) |
0.1 | — | |
This plugin creates a modular layout grid for print layouts | |||||||||
MODIS_NITK | — | 12652 | Aishwarya Hegde A, Pruthviraj Umesh, Amba Shetty | 2019-10-21T10:21:41.460464+00:00 | 2019-06-21T05:12:00.459145+00:00 | (32) |
0.3 | — | |
Plugin to process MODIS data available in HDF Format to user friendly GeoTiff (.tif) format and provide an option for Time Series analysis of raster dataset at single and multiple coordinate location | |||||||||
MODIS LST download and processing | — | 1300 | Jonas Apelt | 2021-08-02T13:38:43.520449+00:00 | 2021-08-02T13:38:43.226087+00:00 | (4) |
— | 0.1 | |
This plugin is made to download and visualise MODIS LST data. you can get raw data from the usgs server, select multiple tiles, get mean values of a timespan and download different product types such as 1km-1day or 1km-8day product and MODIS AQUA or MODIS Terra. |
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