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Average Ratings 9 Ratings
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Description
GRASS GIS, which stands for Geographic Resources Analysis Support System, is a powerful, free, and open-source suite of Geographic Information System (GIS) tools designed for the management and analysis of geospatial data, including capabilities for image processing, map production, spatial modeling, and visualization. This versatile software accommodates various data types, such as raster and vector, facilitating sophisticated modeling and data handling, as well as imagery processing and time series analysis through its Python API, which is particularly well-suited for extensive analyses. Compatible with multiple operating systems like OS X, Windows, and Linux, GRASS GIS can be utilized via a graphical user interface or seamlessly integrated with other applications, including QGIS. The software features an extensive library of over 350 modules aimed at tasks such as rendering maps, manipulating raster and vector data, processing multispectral imagery, and effectively managing and storing spatial datasets. Widely adopted in both academic and commercial environments, it also serves the needs of governmental organizations, showcasing its versatility and reliability in various geospatial contexts. The continual enhancements and community support further solidify GRASS GIS as a crucial tool for professionals working in the field of geospatial analysis.
Description
MAPOG is a comprehensive all-in-one SaaS GIS platform designed to help businesses and organisations create interactive, data-driven maps with ease. It provides powerful tools for task management, sorting nearby locations from live locations, georeferencing base maps, calculating bearing angles, and organising spatial data using multiple category add-ons. Users can visualise, analyse, and share maps with layers, labels, media attachments, and even export them offline for reports or presentations.
Designed for collaboration, MAPOG supports real-time updates, multi-user access, and customisable styling, making it suitable for teams of any size. Whether you are in real estate, travel, logistics, urban planning, education, or government, MAPOG helps you track assets, optimise routes, plan projects, and present data-rich maps to clients or stakeholders efficiently.
MAPOG transforms complex geospatial data into clear, actionable insights and interactive visual stories. With its intuitive interface, users can convert raw data into compelling maps that improve decision-making, reduce errors, and unlock new opportunities. It integrates seamlessly into existing workflows and enables businesses to manage spatial information smarter, faster, and more effectively.
By combining advanced GIS functionalities with user-friendly design, MAPOG empowers organisations to analyse markets, monitor operations, plan developments, and communicate insights in an engaging visual format. From mapping property boundaries to tracking logistics networks or creating immersive educational maps, MAPOG is a versatile GIS solution that adapts to every industry’s needs.
API Access
Has API
API Access
Has API
Integrations
Docker
Python
Pricing Details
Free
Free Trial
Free Version
Pricing Details
₹666/month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
GRASS
Founded
1998
Country
United States
Website
grass.osgeo.org
Vendor Details
Company Name
MAPOG
Founded
2015
Country
India
Website
story.mapog.com
Product Features
Product Features
GIS
3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis
