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Spinning Idea edited this page Jul 12, 2026 · 4 revisions

Geo Data Visualization Tools

Below is a list of geospatial data tools that allow visualizing geographic data sets. Some tools leverage AI and various providers

OSIRIS AI

Open source solution that has a wide set of data sources

WorldWideView

Open source solution developed by a single developer with a plugin and marketplace architecture to allow extensibility for data sources

Third-Eye

Third-Eye Data Sources

Third-Eye provides 16 live data layers with real-time geospatial visualization. All core layers use public, keyless APIs.

Domain Data Points Sources
Aviation Commercial, Private, Military, Jets OpenSky Network
Maritime 39 Global Ports, 10 Chokepoints Static Naval Intel
CCTV 2,000+ Cameras TfL, WSDOT, Caltrans, NYC DOT, VicRoads + more
Seismic Real-time M2.5+ USGS Earthquake API
Fires Active Hotspots NASA FIRMS
News 24/7 Live Streams 25+ Global Broadcasters
Weather Severe Events NASA EONET
Space Solar Weather, Satellites NOAA SWPC, N2YO
Cyber CVE Threats, Vulnerability Scanning NVD, Custom Scanner
Conflict 13 Active Zones Static OSINT Intel
Crypto BTC + ETH Wallet Tracing, OFAC SDN Match blockstream.info, Blockscout, OpenSanctions
Sanctions Person / Org / Vessel SDN Search OpenSanctions (US OFAC SDN mirror)
Telegram OSINT Geoparsed Posts from Public Channels t.me/s/ web preview

Key data source links:

World Monitor

World Monitor Data Sources

About 65+ external providers and APIs across geopolitics, finance, energy, climate, aviation, cyber, military, infrastructure, and news intelligence — surfaced through 500+ curated feeds. Full catalog at https://www.worldmonitor.app/docs/data-sources

Global Threat Map

Astra Earth - Pankaj Kumar Dev

"WorldView" - Bilawal Sidhu

Tech creator, TED technology curator/host, and a16z venture scout. Former Google Senior PM (6 years) who worked on 3D Maps, ARCore, and YouTube VR for 1B+ users. Re-mapped the world in 3D using satellite, aerial & ground-level sensors, and shipped Google Maps Immersive View. 1.6M+ subscribers and 500M+ views across platforms. Covers AI, spatial computing, geospatial 3D mapping, AR/VR, and robotics. Built "WorldView" / "God's Eye View" — a Palantir-like geospatial intelligence dashboard using AI agents, Google 3D tiles, live satellite tracking, ADS-B flight data, CCTV, and maritime tracking.

GeoAI

  • REPO: https://github.com/opengeos/geoai
  • WEB: https://book.opengeoai.org
  • Open source Python package for AI-powered geospatial data visualization, image segmentation, classification, and remote sensing foundation models. Includes interactive multi-layer visualization of vector and raster data, QGIS plugin, and 20+ remote sensing foundation models.

Microsoft Planetary Explorer

  • AI-powered geospatial app for exploring and visualizing Earth science data using natural language. Multi-agent architecture built on Microsoft Agent Framework, Azure AI Agent Service, and Semantic Kernel. Supports 130+ STAC collections, MCP server, Teams/M365 Copilot integration.

  • REPO: https://github.com/microsoft/Planetary-Explorer

Microsoft Earth Copilot

  • AI-powered geospatial application to explore and visualize Earth science data using natural language. Generates STAC API queries, renders satellite data on Azure Maps. Inspired by NASA/Microsoft Earth Copilot prototype.

  • REPO: https://github.com/microsoft/Earth-Copilot

Microsoft GeoFaham

  • AI-powered geospatial analysis platform using Microsoft AutoGen multi-agent architecture. Natural language queries for satellite imagery (Sentinel-2, Landsat, SAR), OpenStreetMap features, PostGIS spatial queries, and raster analysis with automated Python code generation. Interactive map visualization via Leaflet.js.

  • REPO: https://github.com/microsoft/GeoFaham

CARTO Builder

  • Cloud-native maps & data visualization with AI Agents. Translates natural-language prompts into map actions. Handles billions of points, polygons, and lines inside your cloud data lakehouse. No-code drag-and-drop interface with SQL Parameters for advanced users.

  • WEB: https://carto.com/builder/

Felt

  • Cloud-native GIS platform with Felt AI. Build interactive map dashboards in seconds with no code. Supports all vector formats (up to 5GB), live connections to Postgres/PostGIS, Snowflake, Databricks, BigQuery, Redshift. H3 visualization support. Embeddable in Tableau, Power BI, Retool.

  • WEB: https://felt.com/

Kepler.gl

  • Open source, WebGL-powered geospatial data visualization tool for large-scale datasets. Built on deck.gl and Mapbox GL. Now includes AI-powered assistance and DuckDB-enabled in-browser spatial analytics. Data-agnostic, can render millions of points. Jupyter notebook integration available.

  • WEB: https://kepler.gl/

  • REPO: https://github.com/keplergl/kepler.gl

HEAVY.AI

  • GPU-accelerated geospatial data platform with HeavyIQ AI-powered conversational analytics. Visualize and cross-filter billions of data points with zero latency. Native OGC compliant SQL, multi-layer geo charts, supports shapefile, GDB, KML, GeoJSON, WKT CSV, PostGIS. Server-side rendering via Vega engine.

  • WEB: https://www.heavy.ai/

ELEMNT

  • AI-native geospatial data platform with native Model Context Protocol (MCP) support. Built for Claude, ChatGPT, and Gemini. Unified datastore (vector, raster, tile) via one OGC API. DuckDB + Apache Sedona for planetary-scale analytics. OpenStreetMap and Overture data built in.

  • WEB: https://elemnt.earth/

FlyPix AI

  • AI agent-based geospatial analytics platform for satellite, aerial, and drone imagery analysis. Smart annotation toolkit for training AI models on your data. Object detection, change/anomaly detection, topographic analysis. Desktop app available for Mac and Windows.

  • WEB: https://flypix.ai/

Google Earth Engine

  • Planetary-scale geospatial analysis platform with 90+ petabytes of satellite imagery and 1,000+ curated datasets. Now features AlphaEarth Foundations (Google DeepMind) - AI-powered Satellite Embedding dataset with 64-dimensional geospatial embeddings at 10m resolution. Python API with geemap library for visual workflows. Vertex AI model integration for predictions.

  • WEB: https://earthengine.google.com/

Esri ArcGIS AI Assistants

  • AI-powered assistants across ArcGIS products: Arcade assistant (generate expressions from natural language), Business Analyst assistant (reports, color-coded maps, site comparison), Hub assistant (natural language open data queries), Pro assistant (conversational GIS, SQL/graph query generation), StoryMaps assistant (summaries, alt text, theme generation). Integrates Microsoft Azure OpenAI Service. 90+ pretrained deep learning models in GeoAI toolbox.

  • WEB: https://www.esri.com/

mazzap

Mazzap v2 turns a patch of real ground into a VEIL — a Virtually Embodied Intelligent Land: a standalone, fully georeferenced 3D digital twin that Mazzap models and instantiates from open geospatial data. Open it in a browser, click to read true GPS coordinates, drape your own map layers onto the terrain, simulate the processes that move water and fire across it, and ask questions about it in natural language.

Mapbox

  • Mapping platform with Mapbox Location AI for equipping AI agents and LLMs with geospatial skills. Mapbox MCP DevKit integrates with AI coding tools for Mapbox development. 3D Globe View, extensive customization, Snowflake integration for geospatial analysis.

  • WEB: https://www.mapbox.com/

  • WEB: https://www.mapbox.com/location-ai

3D Visualization Tools

Open-Source & Free Tools

  • CesiumJS - The leading open-source JavaScript library for world-class 3D globes and maps. High-performance, cross-platform rendering of 3D tiles, terrain, and vectors.
  • deck.gl - Open-source, WebGL2/WebGPU-powered framework optimized for high-performance 3D visual analysis of large-scale geospatial datasets.
  • MapLibre GL JS - Open-source, community-led mapping library supporting fast GPU-accelerated rendering of 3D terrain, 3D buildings, and custom 3D layers.
  • Kepler.gl - A high-performance, open-source 3D geospatial analysis tool built on top of deck.gl, optimized for visualizing large geo-datasets.
  • OSM2World - Open-source generator that converts 2D/3D OpenStreetMap data into 3D models (supports exports to glTF, OBJ, and WebGL).
  • Streets GL - A WebGL2-based real-time 3D map renderer designed specifically for rendering OpenStreetMap data (buildings, terrain, trees, roads).
  • OSM Buildings - A free frontend JavaScript library optimized for rendering 3D building geometry dynamically over 2D web maps (like Leaflet or OpenLayers).

Commercial & Premium Tools

  • Cesium ion - Cloud-based platform for tiling, optimizing, hosting, and streaming massive 3D geospatial data.
    • Pricing: Free Community tier (up to 5GB storage, 50GB streaming/month). Paid commercial tiers start at $149/month.
  • Google Maps Platform (Photorealistic 3D Tiles) - Immersive, high-resolution 3D mesh models of the real world for custom rendering.
    • Pricing: Volume-based pricing starting at $6.00 per 1,000 tiles (drops to $2.40/1,000 at scale). Includes a free tier of 1,000 tile requests/month.
  • Google Earth Engine - Scientific cloud platform for petabyte-scale planetary data analysis and 3D visualization.
    • Pricing: Free for research, education, and non-commercial use. Commercial usage requires subscription plans starting with compute costs at $0.40 per EECU-hour (down to $0.16 at volume) plus storage.
  • Mapbox GL JS (v3) - Premium WebGL-based library featuring 3D terrain, globe views, photorealistic buildings, and custom 3D models.
    • Pricing: Free tier covers up to 50,000 monthly active users (MAUs). Starts at $5.00 per 1,000 MAUs thereafter.
  • F4map - A high-fidelity, interactive 3D web viewer built on OpenStreetMap data featuring dynamic shadows, lighting, and weather effects.
    • Pricing: Free interactive web viewer; commercial licenses and integration features are customized (contact sales).

3D Gaussian Splatting

Wide-Area Motion Imagery (WAMI)

Geospatial Data Sources

Data specific resources

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