Search Results for "geospatial"
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Showing 24 open source projects for "geospatial"
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GeoNode
GeoNode is an open source platform for geospatial data
GeoNode is a geospatial content management system, a platform for the management and publication of geospatial data. It brings together mature and stable open-source software projects under a consistent and easy-to-use interface allowing non-specialized users to share data and create interactive maps. Data management tools built into GeoNode allow for integrated creation of data, metadata, and map visualization. -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
...Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive query workloads. According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. ... -
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GDAL.jl
Thin Julia wrapper for GDAL - Geospatial Data Abstraction Library
Julia wrapper for GDAL - Geospatial Data Abstraction Library. This package is a binding to the C API of GDAL/OGR. It provides only a C style usage, where resources must be closed manually, and datasets are pointers. Other packages can build on top of this to provide a more Julian user experience. See for example ArchGDAL.jl. Most users will want to use ArchGDAL.jl instead of using GDAL.jl directly. -
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GeoStats.jl
An extensible framework for geospatial data science
GeoStats.jl is a Julia framework for geospatial data science and geostatistical modeling. It’s fully implemented in Julia and designed to provide an extensible, high-performance stack that handles spatial domains, interpolation, simulation, learning, and visualization. The package is modular: it breaks out geometry, spatial domains, transforms, variograms, covariance models, and modeling into subpackages (e.g., GeoStatsBase, GeoStatsModels, GeoStatsTransforms). -
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supercluster
A very fast geospatial point clustering library for browsers and Node
A very fast JavaScript library for geospatial point clustering for browsers and Node. supercluster supports property aggregation with the following two options. Map, a function that returns cluster properties corresponding to a single point. Reduce, a reduce function that merges properties of two clusters into one. -
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Tile38
Ultra Fast Geospatial Database & Geofencing Server
When you need the best performance for your location-based applications, you can rely on Tile38. Tile38 is an ultra-fast, open source geospatial database and geofencing server capable of real-time geofencing, fast spatial indexing and more. It supports a variety of object types including lat/lon, Geohash, bbox, GeoJSON, QuadKey, and XYZ tile; and is capable of operations like Nearby, Within, and Intersects. There’s also built-in support for many popular tools. Tile38 is made up of 3 main components: the server, command line interface tool and server benchmark tool. ... -
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Earth Engine API
Python and JavaScript bindings for calling the Earth Engine API
The Earth Engine API provides Python and JavaScript client libraries for Google Earth Engine, a planetary-scale geospatial analysis platform. With it, users compose lazy, server-side computations over massive catalogs of satellite imagery and vector datasets without handling raw files locally. The API exposes functional operators for map algebra, reducers, joins, and machine learning that scale transparently on Earth Engine’s backend. Developers authenticate once, work interactively in notebooks or the Code Editor, and export results to Cloud Storage, Drive, or asset collections. ... -
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L7
Large-scale WebGL-powered geospatial data visualization analysis
L7 is a WebGL-based open source large-scale geospatial data visual analysis development framework launched by Ant Financial's AntV data visualization team. The L in L7 stands for Location, and the 7 stands for the seven continents of the world, implying the ability to provide visual analysis for global location data. L7 focuses on the visual expression of data, and realizes clear and effective expression from data to information through the setting of visual variables such as color, size, texture, direction, and volume. ... -
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Pinot
Apache Pinot - A realtime distributed OLAP datastore
...Pinot is designed to answer OLAP queries with low latency on immutable data and mutable data(Upsert Support) Pluggable indexing technologies - Sorted Index, Bitmap Index, Inverted Index, StarTree Index, Bloom Filter, Range Index, Text Search Index(Lucence/FST), Json Index, Geospatial Index. Near Realtime ingestion with Apache Kafka, Apache Pulsar, Kinesissupports JSON, Avro, ProtoBuf, Thrift formats. Apache Pinot supports dimension lookup joins currently. Full SQL join support in Apache Pinot is coming soon. In the interim, full SQL joins can be performed by querying Pinot via the Trino or PrestoDB connector. ... -
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Google Maps SDK for Android Samples
Samples demonstrating how to use Maps SDK for Android
Create dynamic, interactive and personalized experiences with maps, locations and geospatial experiences for your Android apps. Create an account, generate an API key, and start creating. Learn how to load the Maps SDK for Android and add a map with a bookmark to your web application. You can customize almost all aspects of the map, such as routes, landforms and places of interest, among others. Find the current location of an Android device and display details of the place or other place of interest in that location. ... -
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Cesium
An open-source JavaScript library for world-class 3D globes and maps
CesiumJS is an open source JavaScript library for creating world-class 3D globes and maps with the best possible performance, precision, visual quality, and ease of use. Developers across industries, from aerospace to smart cities to drones, use CesiumJS to create interactive web apps for sharing dynamic geospatial data. Built on open formats, CesiumJS is designed for robust interoperability and scaling for massive datasets. CesiumJS is released under the Apache 2.0 license and is free for both commercial and non-commercial use. With more than 1,000,000 downloads, CesiumJS powers apps that reach millions of users. We believe that collaboration is rooted in openness, and are committed to an open ecosystem. ... -
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NYC Taxi Data
Import public NYC taxi and for-hire vehicle (Uber, Lyft)
...It also contains example analyses—spatial and temporal visualizations like maps, time-series plots, and hotspot detection—highlighting insights such as patterns of demand, peak times, and geospatial distributions. The repository is often used as a benchmark dataset and example for teaching, benchmarking, and demonstration purposes in the data science and urban analytics communities. -
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Geocoder
Complete Ruby geocoding solution
...With its database integration, you can query for nearby records, order results by distance, or filter results within a radius, making it invaluable for location-based apps. By abstracting away API differences and providing a clean Ruby interface, Geocoder makes geospatial features straightforward to implement in web and mobile projects. -
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OrientDB
DBMS supporting graph, document, full-text and geospatial models
OrientDB is an Open Source Multi-Model NoSQL DBMS with the support of Native Graphs, Documents, Full-Text search, Reactivity, Geo-Spatial and Object Oriented concepts. It's written in Java and it's amazingly fast. No expensive run-time JOINs, connections are managed as persistent pointers between records. You can traverse thousands of records in no time. Supports schema-less, schema-full and schema-mixed modes. Has a strong security profiling system based on user, roles and predicate... -
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whiteboxgui
An interactive GUI for WhiteboxTools in a Jupyter-based environment
The whiteboxgui Python package is a Jupyter frontend for WhiteboxTools, an advanced geospatial data analysis platform developed by Prof. John Lindsay (webpage; jblindsay) at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. WhiteboxTools can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. -
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GeoAPI
Set of Java interfaces for geospatial applications
The development community in building GIS solutions is sustaining an enormous level of effort. The GeoAPI project aims to reduce duplication and increase interoperability by providing neutral, interface-only APIs derived from OGC/ISO Standards. -
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earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples
...These notebooks are organized into thematic areas such as image processing, machine learning, visualization, filtering, and asset management, exposing users to real geospatial analysis tasks. The repository makes it easier to explore Earth Engine’s large geospatial data catalog, interactively display map layers, and generate visual insights without the need for external GIS software by leveraging interactive widgets and mapping libraries. Many of the notebooks integrate with tools like folium, ipyleaflet, and geemap to bridge Earth Engine data with Python’s rich ecosystem for plotting and analysis. ... -
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ArangoDB Interactive Tutorials
Repository for all ArangoDB interactive tutorial notebooks
Choose your favored cloud platform with ArangoGraph, a full-managed, scalable, and high-performance graph database service that delivers the added value of an integrated document store, full-text search engine, and geospatial capabilities. This unified solution offers seamless, hassle-free management of these diverse data models and types, relieving you of operational overhead and allowing you to focus on innovation and development. Run on ANY system. Plus, ArangoDB supports Kubernetes through its official Kubernetes Operator, which allows users to deploy and manage ArangoDB clusters within a Kubernetes environment. ... -
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GeoGit
Geospatial Distributed Version Control System
...Use this URL to get to the GeoGig downloads: https://sourceforge.net/p/geogig Welcome to the GeoGit project, exploring the use of distributed management of spatial data. GeoGit draws inspiration from Git, but adapts its core concepts to handle versioning of geospatial data. Users are able to import raw geospatial data (currently from Shapefiles, PostGIS or SpatiaLite) in to a repository where every change to the data is tracked. These changes can be viewed in a history, reverted to older versions, branched in to sandboxed areas, merged back in, and pushed to remote repositories. -
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GeoWeb 3D Globe
Geospatial Web 3D Globe Project(To consider S.Korea market)
The goal of "GeoWeb 3D Globe" is developing 3D visualization and utilization module for geospatial data. We are conveniently wide range of developers hope to take advantage of geospatial information. Using three-dimensional spatial information service developed for web-based 3D "GeoWeb 3D Globe" The main contents of the project are as follows: 1. Based on proven open source SW(WWJava) 2. Specializing in 3D visualization of geospatial data 3. -
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Migratool is a software tool, which aims to easy the geospatial (and non-geospatial) data migration among both distributed and heterogeneous data sources. This tool is based on a three tiers architecture and it has been implemented using the J2EE archite
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geosdiera is the Open Source web application designed by geoSDI for managing geospatial services based on Google GWT Technology.
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OSIOSS (Open Source Integrated Observing System Software) is a collection of code which can be used for geospatial observing systems merging data collection, management and products solutions with ocean observing systems (OOS) as an initial focus.
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G2C (Geospatial to Civil) The LandGML Interoperability Experiment initiated by Autodesk, U.S. Army Corps of Engineers Engineering Research and Development Center, and Galdos Systems. this open source tool transforms LandGML into LandXML documents.
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