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What is GRASS GIS?

GRASS GIS, an acronym for Geographic Resources Analysis Support System, is a robust, free, and open-source collection of Geographic Information System (GIS) tools tailored for the management and analysis of geospatial information, offering features for image processing, map creation, spatial modeling, and visualization. This adaptable software supports a variety of data formats, including both raster and vector data, enabling complex modeling and data manipulation, alongside imagery processing and time series analysis through its user-friendly Python API, which is especially effective for large-scale assessments. GRASS GIS is compatible with several operating systems, including OS X, Windows, and Linux, and can be accessed via a graphical user interface or integrated effortlessly with other software like QGIS. The platform boasts an extensive array of over 350 modules designed for diverse tasks, such as map rendering, raster and vector data manipulation, multispectral imagery processing, and the efficient management and archiving of spatial datasets. Its widespread adoption in academic and commercial sectors, as well as its utility for governmental agencies, underscores its adaptability and dependability across a range of geospatial applications. Continuous updates and strong community backing further enhance GRASS GIS, reinforcing its position as an indispensable resource for professionals engaged in geospatial analysis, while also fostering an environment for collaborative improvements.

What is Felt?

Cutting-edge mapping applications like Route and Clip make drawing along roads and boundaries a breeze. Felt presents a streamlined and modern take on mapping, reminiscent of the latest creative software. You will never experience delays waiting for a dataset to load again; while traditional internet maps may require over 30 seconds to refresh during pan and zoom actions, Felt completes this in less than 300 milliseconds. It boasts a vast library of more than 50 meticulously selected data layers that are both dependable and of exceptional quality. Each map is given a distinctive link, making it easy to share with your team, the public, or on social media platforms. The maps created with Felt are fully operational across desktops, tablets, and mobile devices, providing a seamless user experience. Moreover, the platform supports live multi-player editing, enabling you to invite collaborators to work together in real time. For the first time, sharing maps has become as simple as sharing documents and photos, significantly enhancing collaboration and enjoyment. With its intuitive interface and innovative features, Felt is truly transforming the way we engage with maps and work together on spatial projects. This evolution in mapping technology promises to elevate teamwork and creativity to new heights.

Media

Media

Integrations Supported

Docker
Python

Integrations Supported

Docker
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

GRASS

Date Founded

1998

Company Location

United States

Company Website

grass.osgeo.org

Company Facts

Organization Name

Felt

Date Founded

2021

Company Location

United States

Company Website

felt.com

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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