jQuery
React Native
Babel
OpenSSL
Composer
jQuery UI
Symfony
Raven.js
GRASS GIS
QGIS
ArcGIS
SAGA GIS
Garmin BaseCamp
gvSIG
uDig
GeoDa
GRASS GIS offers powerful raster, vector, and geospatial processing engines in a single integrated software suite. It includes tools for terrain and ecosystem modeling, hydrology, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It comes with a temporal framework for advanced time series processing and a Python API for rapid geospatial programming. GRASS GIS has been optimized for performance and large geospatial data analysis.
jQuery GRASS GISGRASS GIS's answer:
GRASS GIS primarily caters to geospatial professionals, researchers, and students in fields like geography, environmental science, urban planning, and geology. It is also used by government agencies and non-profit organizations for spatial data analysis and environmental modeling.
GRASS GIS's answer:
As an open-source tool, GRASS GIS doesn't have "customers" in the traditional sense. However, it is widely used by various government agencies, academic institutions, and environmental organizations worldwide. Notable users include space agencies, numerous universities and research institutions as well as companies involved in geospatial studies and analysis.
GRASS GIS's answer:
GRASS GIS was initially developed by the U.S. Army Corps of Engineers as a tool for land management and environmental planning. It was first released in the early 1980s and has since evolved into a robust, multi-functional GIS platform, largely due to contributions from a global community of developers. GRASS GIS is a founding member project of the Open Source Geospatial Foundation (OSGeo.org).
GRASS GIS's answer:
GRASS GIS's answer:
GRASS GIS's answer:
GRASS GIS is primarily written in C, Python, and C++. It uses a range of geospatial libraries and technologies, including GDAL for data conversion, PROJ for coordinate transformations, and can interface with SQL databases.
Based on our record, jQuery seems to be a lot more popular than GRASS GIS. While we know about 87 links to jQuery, we've tracked only 8 mentions of GRASS GIS. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this article, we will implement the auto typing feature using JavaScript and jQuery, as shown in the video below. - Source: dev.to / about 2 months ago
Cheerio is your ticket to the world of server-side magic, allowing you to manipulate HTML and XML documents with jQuery-like syntax. It’s perfect for web scraping, data extraction, or just making sense of the mess that is web content. With Cheerio, you get to play around with the DOM, use CSS selectors, and basically do all the cool things you'd do in the browser, but server-side. - Source: dev.to / 2 months ago
NPM packages include a wide range of tools such as frameworks like Express or React, libraries like jQuery, and task runners such as Gulp, and Webpack. - Source: dev.to / 4 months ago
React is great, yeah, absolutely no lies. Released on May 29 2013 and maintained by Facebook (coughs - “Meta”), it has grown to be the the most used JavaScript framework - or library 🌚, Suppressing Angular and kicking jQuery in the nuts. The standard way of building web apps has so far been defined by this superhuman framework and it’s been the most recommended framework for a long time, but what if it’s about to... - Source: dev.to / 10 months ago
My first thought when reading this headline. Source: about 1 year ago
Https://grass.osgeo.org/- Source: Hacker News / 3 months agoGRASS GIS offers powerful raster, vector, and geospatial processing engines in a single integrated software suite. It includes tools for terrain and ecosystem modeling, hydrology, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It comes with a temporal framework for advanced time series...
We haven't looked at integrating GRASS yet, as we're more interested in data display, not deep analysis. Just another example of a C/C++ library with front end bindings for Python. Numbers are crunched in C/C++, results returned to Python. Source: about 1 year ago
Anyone have good advice for where to learn how to use GRASS. Source: about 1 year ago
Outside of personal experience, based on second-hand insight: GRASS is an extremely powerful tool, if you're not familiar with it already, and you can use it from the CLI and from Python. If you'd like to step out of Python at some point, I hear Java is used a lot for enterprise GIS, while Julia looks like the language of the future (especially now with JuliaGeo), but that still remains to be seen. Source: over 1 year ago
Sometimes some modules from GRASS like r.lake at the moment. Source: over 1 year ago
React Native - A framework for building native apps with React
QGIS - QGIS is a desktop geographic information system, or GIS.
Babel - Babel is a compiler for writing next generation JavaScript.
ArcGIS - ArcGIS software is a data analysis, cloud-based mapping platform that allows users to customize maps and see real-time data ranging from logistics support to overall mapping analysis.
OpenSSL - OpenSSL is a free and open source software cryptography library that implements both the Secure Sockets Layer (SSL) and the Transport Layer Security (TLS) protocols, which are primarily used to provide secure communications between web browsers and …
SAGA GIS - SAGA - System for Automated Geoscientific Analyses - is a Geographic Information System (GIS)...