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What is MAPOG?

MAPOG is a powerful all-in-one SaaS GIS platform that enables businesses and organisations to create interactive, data-driven maps for any industry. It offers advanced tools such as task management, sorting nearby locations from your live location, georeferencing base maps, calculating bearing angles, and multiple category add-ons for organising spatial data efficiently. Users can visualise, analyse, and share maps with layers, labels, media attachments, and offline export for reporting or presentations. Built for collaboration, MAPOG supports real-time updates, multi-user access, and customisable styling. This makes it ideal for industries like real estate, travel, logistics, urban planning, education, and government. Teams can track assets, optimise routes, plan projects, and present data-rich maps to clients or stakeholders seamlessly. MAPOG transforms complex geospatial data into actionable insights and interactive visual stories. Its intuitive interface allows users to convert raw data into clear, compelling maps that enhance decision-making, reduce errors, and unlock new opportunities. By integrating easily with existing workflows, it helps businesses manage spatial information smarter, faster, and more effectively. From mapping property boundaries to tracking logistics networks, creating immersive educational maps, or visualising market trends, MAPOG is versatile, scalable, and adaptable to every industry’s needs. With MAPOG, organisations can analyse operations, plan developments, and communicate insights in engaging, interactive maps that turn data into visual storytelling.

What is GeoPandas?

GeoPandas is an open-source project driven by the community, aimed at making geospatial data handling easier within the Python programming environment. By building upon the existing data types from pandas, GeoPandas allows for efficient spatial operations on geometric data types. This library employs shapely to perform geometric functions, while relying on fiona for managing files and matplotlib for creating visualizations. The core objective of GeoPandas is to enhance the user experience when working with geospatial data in Python. It merges the capabilities of both pandas and shapely, enabling users to execute geospatial operations effortlessly within the pandas ecosystem and offering a straightforward interface for various geometric functions through shapely. With GeoPandas, tasks that traditionally required a spatial database, such as PostGIS, can be accomplished directly in Python. The initiative is backed by a diverse and global community of contributors with different skill levels, ensuring continuous development and support. Furthermore, the commitment to remaining fully open-source and being available under the flexible BSD-3-Clause license fosters its ongoing accessibility and evolution. Hence, GeoPandas stands out as an invaluable tool for anyone interested in engaging with geospatial data in a practical and user-friendly manner, potentially transforming complex data analysis tasks into more manageable ones.

Media

Media

Integrations Supported

Google Earth Engine
Union Pandera

Integrations Supported

Google Earth Engine
Union Pandera

API Availability

Has API

API Availability

Has API

Pricing Information

₹666/month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MAPOG

Date Founded

2015

Company Location

India

Company Website

story.mapog.com

Company Facts

Organization Name

GeoPandas

Date Founded

2013

Company Website

geopandas.org/en/stable/

Categories and 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

Categories and 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

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