Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Galileo, developed by GISDATA.io, transforms the accessibility and application of geospatial data. It consolidates datasets from various origins into an integrated, user-friendly platform that features sophisticated search functionalities tailored for spatial and metadata, thereby facilitating rapid and accurate retrieval of the most pertinent and current geospatial data. Tailored for experts in fields such as surveying, mapping, engineering, environmental consultancy, and scientific research, Galileo significantly boosts productivity and enhances decision-making through its efficient data discovery process. The platform's unique data discovery and indexing system ensures consistent updates and comprehensive coverage of information. With a vast array of datasets, including approximately 750,000 sourced from ESRI servers, Galileo boasts a rich and diverse data repository. Its user-friendly design not only caters to both beginners and seasoned professionals but also optimizes time management and resource allocation, making it an invaluable tool in the geospatial industry. This innovative approach not only simplifies data handling but also opens up new possibilities for analysis and application in various domains.
Description
GeoPandas is a community-driven open-source initiative designed to simplify the handling of geospatial data within Python. By expanding upon the data types available in pandas, GeoPandas facilitates spatial operations on geometric data types. The library utilizes shapely for executing geometric functions, while it relies on fiona for file management and matplotlib for visualization purposes. The primary aim of GeoPandas is to streamline the process of working with geospatial data in Python. This tool integrates the functionalities of both pandas and shapely, allowing users to perform geospatial tasks seamlessly within the pandas framework and providing an accessible interface for various geometric operations through shapely. With GeoPandas, users can conduct operations in Python that typically would necessitate a spatial database like PostGIS. The project is supported, developed, and utilized by a diverse global community of individuals with varying expertise. It remains committed to being fully open-source, available for everyone to utilize, and is released under the permissive BSD-3-Clause license, ensuring its continued accessibility and growth. As such, GeoPandas serves as a powerful resource for anyone looking to work with geospatial data in a user-friendly manner.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Google Earth Engine
No
Union Pandera
No
Pricing Details
$5
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
GISDATA
Founded
2023
Country
United States
Website
galileo.gisdata.io
Vendor Details
Company Name
GeoPandas
Founded
2013
Website
geopandas.org/en/stable/
Product Features
GIS
3D Imagery
No
Census Data Integration
No
Color Coding
No
Geocoding
No
Image Exporting
No
Image Management
No
Internet Mapping
No
Interoperability
No
Labeling
No
Map Creation
No
Map Sharing
No
Near-Matching
No
Reverse Geocoding
No
Spatial Analysis
No
Product Features
GIS
3D Imagery
No
Census Data Integration
No
Color Coding
No
Geocoding
No
Image Exporting
No
Image Management
No
Internet Mapping
No
Interoperability
No
Labeling
No
Map Creation
No
Map Sharing
No
Near-Matching
No
Reverse Geocoding
No
Spatial Analysis
No