keplergl/kepler.gl

Features

• Visualization Frameworks and Libraries - Provides a web-based library for rendering large-scale location datasets using high-performance WebGL layers and interactive map controls.
• Geospatial Visualizations - Enables loading and visualizing tabular datasets on interactive maps with custom layers, filters, and styles.
• React Map Components - Functions as a modular React mapping component that enables developers to embed interactive, high-performance geographic visualizations.
• Web Mapping Integrators - Embeds high-performance map components into web applications for geographic data exploration.
• State Management Stores - Synchronizes map data, configurations, and interaction settings through a centralized store.
• Temporal Geospatial Analyzers - Analyzes and visualizes time-series geospatial data to identify trends and patterns.
• 3D Map Renderers - Transforms 2D map views into 3D perspectives with interactive rotation and panning.
• Temporal Animation Engines - Plays back time-series geospatial data with adjustable speed and rolling windows.
• Centralized State Stores - Maintains the entire application configuration and data state in a centralized store to ensure predictable updates.
• Geospatial Dashboards - Provides a browser-based platform for exploring, filtering, and analyzing complex geographic information through a unified visual interface.
• Application State Management - Integrates geospatial data management into a central store to track map visualization, interface, and style configurations.
• Temporal Range Navigators - Provides interactive timeline controls for zooming and panning through time-series data.
• Layered Dataset Managers - Adds multiple independent data layers to a single map view for comparative analysis.
• Geospatial State Synchronizers - Integrates with state management systems to synchronize data, viewports, and configurations across map instances.
• Hardware-Accelerated Rendering - Uses high-performance graphics processing to render large-scale geospatial datasets as interactive visual layers.
• 3D Tileset Renderers - Visualizes photogrammetry and building data from standard 3D tile endpoints.
• Map State Managers - Handles saving, resetting, and toggling map view configurations and perspectives.
• State Transformation Engines - Updates internal map layers, filters, and interaction settings programmatically via state transformation functions.
• State Serialization - Converts map data and configuration into compact JSON for storage and retrieval.
• Custom Interface Builders - Extends and overrides default mapping components to create branded, domain-specific interfaces.
• Instance-Scoped Action Dispatchers - The geospatial visualization library wraps and dispatches actions to specific map instances by identifier to ensure state updates reach the correct component.
• Data Visualization - Geospatial analysis tool for large-scale datasets.
• Data Visualization and Analytics - Geospatial analysis tool for large-scale datasets.
• Configuration Persistence - Exports and imports map states using a schema manager to restore complex visualization settings.
• Data Visualization Libraries - Overlays multiple data representations on a map to reveal complex patterns and relationships within geographic datasets.
• Geospatial - Synchronizes time-series geospatial data with map movements to reveal patterns and trends over time.
• Temporal Trend Visualizers - Displays distribution graphs and charts alongside maps to analyze metric changes over time.
• High-Performance Data Ingestion - Imports geographic data from various formats using high-performance loading techniques.
• 3D Content Streamers - Streams and renders photogrammetry, terrain, and building meshes from 3D tile services.
• Dataset Filters - Limits map data visibility based on conditional rules and column values.
• Dataset Import Interfaces - Loads CSV or GeoJSON files into the interface for visual exploration.
• Viewport Controllers - Updates camera position, zoom, and bounds for focused geographic exploration.
• Action-Reducer Architectures - Dispatches events through a centralized bus to target specific map instances, enabling multiple independent visualizations.
• State Update Logic - Modifies visualization state by applying data and configuration updates through functions.
• Cloud Synchronization Services - Synchronizes map configurations and data with cloud storage providers for public access.
• Data Export - Saves visualizations as images, data files, or configuration JSON for sharing.
• Column Filters - Limits visible map information by applying conditional filters based on dataset columns to isolate relevant data subsets.
• Data Schema Management - Automatically detects field types and indices in raw datasets for structured processing.
• Geospatial Data Converters - Converts raw data formats like CSV and GeoJSON into standardized structures for visualization.
• Data Export Utilities - Saves the current map dataset as a file with options for full or filtered subsets.
• Local Data Browsers - Executes queries against local datasets using an in-browser engine for analysis.
• Application Templates - Loads saved configuration settings onto new datasets to reuse styles and layer settings.
• Tile Map Renderers - Renders large-scale geospatial datasets from vector sources by mapping tile coordinates to visual layers with custom styling.
• Raster and Vector Tile Renderers - Displays satellite, aerial, and raster-based map tiles using standardized formats like Cloud-Optimized GeoTIFFs and vector tiles.
• Connection Visualizers - Draws lines between geographic points to represent relationships or distances.
• Flow Pattern Visualizers - Visualizes origin-destination flows and migration paths between geographic locations with support for automated clustering and animation.
• Density Grid Visualizers - Aggregates geospatial data points into grid cells to represent density and highlight spatial distribution patterns.
• Mapping Libraries - Ingests tabular datasets and visual configurations to initialize map layers and interaction settings for geographic display.
• Data Visualization Scales - Maps dataset values to visual properties like color and height using statistical scales for quantitative representation.
• Viewport Controllers - Manages multi-view layouts, 3D perspective rendering, and legend displays to control how spatial data is presented.
• User Interface Customizations - Overrides default visual components and styling to match application branding.
• Functional State Management - Exposes pure transformation functions that modify application state to enable consistent and testable data-driven interface changes.
• Data Validation Schemas - Parses and validates incoming tabular datasets against defined structures to prepare raw information for geospatial visualization.
• Extensible Plugin Architectures - Modifies internal state management and adds custom actions through plugin architectures to support unique data workflows.
• Split-View Controllers - Toggles between single and split-screen layouts for comparative dataset analysis.
• Reducer State Management - Injects custom logic into the state management pipeline to handle additional actions.
• Geospatial Attribute Mappings - Applies color scales or elevation heights to geographic features based on underlying values to represent statistical data.
• Spatial Aggregation Functions - Groups point-based data into grids, hexagons, or clusters to visualize density, distribution, and statistical trends.
• Vector Graphics Renderers - Streams and renders large-scale vector datasets dynamically based on the current viewport and zoom level for performance.
• Data Brushing Tools - Isolates and highlights specific subsets of geospatial data under the cursor.
• Exploration Tools - Provides interactive tools for brushing, coordinate inspection, and data tooltips to allow users to query geospatial information.
• Imagery Service Integrations - Connects to external web map services to render tiled imagery layers.
• Layer Property Editors - Adjusts the appearance of geospatial data by modifying colors, opacity, and stroke settings based on dataset fields.
• Point Event Renderers - Renders individual coordinate-based events on a map with configurable styling for color, size, and text labels.
• Raster Imagery Renderers - Renders satellite and aerial imagery from raster tiles or external web map services directly on the map.
• S2 Geometry Visualizers - Renders large-scale geolocation datasets by mapping S2 geometry tokens to visual layers for spatial analysis.
• Visual Configuration Interfaces - Modifies the appearance of the base map by toggling layer visibility, switching styles, or resetting the configuration.
• Viewport Managers - Updates base map displays by toggling between 2D and 3D views and modifying viewport settings for visual exploration.
• Visual Enhancement Engines - Applies lighting, shadows, and atmospheric effects to improve map depth perception.
• Visualization Exporters - Saves map states as standalone files or web applications for external sharing.
• Custom Action Handlers - Injects user-defined logic into the state management flow to handle specialized events or trigger external processes.
• Dependency Injection - Allows developers to override default interface elements and logic by injecting custom implementations into the application bootstrap process.
• Multi-Instance Configurations - Supports running multiple independent map components by assigning unique identifiers.
• Action Reducer Patterns - Directs state updates to specific component instances by wrapping actions with unique identifiers for the root reducer.
• Custom UI Components - Provides a dependency injection system to replace default interface elements with custom implementations.
• Component Overrides - Allows swapping built-in interface elements with custom implementations to modify the mapping environment.
• Color Palettes - Applies custom color palettes to map layers to represent data values through fill and stroke styling.
• Visual Customization Tools - Provides settings for modifying the aesthetic appearance of the user interface through themes and color schemes.
• Visual Styling Frameworks - Allows overriding default component styling by passing custom theme objects to the interface.
• Visual Themes - Enables overriding default styling properties through theme objects to match application branding.

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