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16 repositorios

Awesome GitHub RepositoriesGeospatial Processing

Libraries for geographic data analysis and spatial query operations.

Explore 16 awesome GitHub repositories matching part of an awesome list · Geospatial Processing. Refine with filters or upvote what's useful.

Awesome Geospatial Processing GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • google-research/google-researchAvatar de google-research

    google-research/google-research

    38,139Ver en GitHub↗

    This repository serves as a comprehensive research platform and toolkit for advancing machine learning, quantum computing, and large-scale scientific data analysis. It provides foundational frameworks for developing complex algorithmic systems, offering the necessary infrastructure for distributed training, computational graph execution, and high-performance model development. The project distinguishes itself by integrating specialized research domains with robust, privacy-preserving methodologies. It supports diverse scientific discovery through tools for quantum simulation, physics-informed

    Processes planetary imagery and satellite information using foundation models to generate actionable environmental insights.

    Jupyter Notebookaimachine-learningresearch
    Ver en GitHub↗38,139
  • tidwall/tile38Avatar de tidwall

    tidwall/tile38

    9,672Ver en GitHub↗

    Tile38 is an in-memory geospatial database that uses the Redis protocol for communication and query execution. It serves as a distributed spatial store for points and polygons, featuring high availability through leader-follower replication and disk-based persistence. The system includes a real-time geofencing engine that monitors virtual geographic boundaries and triggers webhooks when objects enter or exit specified areas. It further distinguishes itself with an embedded Lua scripting engine for server-side data transformations and a built-in vector tile server for efficient map visualizati

    Geospatial database with spatial indexing and geofencing.

    Go
    Ver en GitHub↗9,672
  • golang/geoAvatar de golang

    golang/geo

    1,840Ver en GitHub↗

    S2 geometry library in Go

    S2 geometry library for spatial operations.

    Go
    Ver en GitHub↗1,840
  • locationtech/geotrellisAvatar de locationtech

    locationtech/geotrellis

    1,371Ver en GitHub↗

    GeoTrellis is a geographic data processing engine for high performance applications.

    High-performance engine for processing geographic data.

    Scala
    Ver en GitHub↗1,371
  • consbio/mbtileserverAvatar de consbio

    consbio/mbtileserver

    783Ver en GitHub↗

    Basic Go server for mbtiles

    Simple server for hosting mbtiles geographic data.

    Go
    Ver en GitHub↗783
  • paulmach/osmAvatar de paulmach

    paulmach/osm

    459Ver en GitHub↗

    General purpose library for reading, writing and working with OpenStreetMap data

    Reads, writes, and processes OpenStreetMap data.

    Go
    Ver en GitHub↗459
  • plokhotnyuk/rtree2dAvatar de plokhotnyuk

    plokhotnyuk/rtree2d

    144Ver en GitHub↗

    RTree2D is a 2D immutable R-tree for ultra-fast nearest and intersection queries in plane and spherical coordinates

    Immutable R-tree for fast spatial intersection queries.

    Scala
    Ver en GitHub↗144
  • wroge/wgs84Avatar de wroge

    wroge/wgs84

    141Ver en GitHub↗

    A zero-dependency Go package for coordinate transformations.

    Coordinate system transformation and projection library.

    Go
    Ver en GitHub↗141
  • hishamkaram/geoserverAvatar de hishamkaram

    hishamkaram/geoserver

    92Ver en GitHub↗

    Go client for the GeoServer REST API — workspaces, datastores, layers, styles, security, ACL, GeoWebCache, Importer, plus OWS GetCapabilities/Describe. Tested against GeoServer 2.27 LTS and 2.28 stable.

    Go wrapper for the GeoServer REST API.

    Gogeoservergeoserver-clientgeoserver-rest-api
    Ver en GitHub↗92
  • simplexspatial/osm4scalaAvatar de simplexspatial

    simplexspatial/osm4scala

    88Ver en GitHub↗

    Scala and Spark library focused on reading OpenStreetMap Pbf files.

    Library for reading OpenStreetMap Pbf files.

    Scala
    Ver en GitHub↗88
  • azavea/franklinAvatar de azavea

    azavea/franklin

    87Ver en GitHub↗

    A STAC/OGC API Features Web Service

    Web service for STAC and OGC API features.

    Scala
    Ver en GitHub↗87
  • maguro/pbfAvatar de maguro

    maguro/pbf

    55Ver en GitHub↗

    OpenStreetMap PBF golang parser

    Encoder and decoder for OpenStreetMap PBF files.

    Go
    Ver en GitHub↗55
  • hishamkaram/gismanagerAvatar de hishamkaram

    hishamkaram/gismanager

    54Ver en GitHub↗

    Go tool library that publishes GIS vector data to GeoServer via PostGIS — walks a directory of shapefile / GeoJSON / GeoPackage / KML, loads each into PostGIS via GDAL/OGR, then registers the resulting tables as GeoServer feature types. Idempotent. Tested on GeoServer 2.27 LTS 2.28 stable.

    Publishes GIS vector data to PostGIS and GeoServer.

    Gocligdalgeojson
    Ver en GitHub↗54
  • pantrif/s2-geojsonAvatar de pantrif

    pantrif/s2-geojson

    37Ver en GitHub↗

    Draw a polygon on the map or paste a geoJSON and explore how the s2.RegionCoverer covers it with S2 cells depending on the min and max levels

    Converts GeoJSON to S2 cells for geometric visualization.

    Go
    Ver en GitHub↗37
  • stac-utils/stac4sAvatar de stac-utils

    stac-utils/stac4s

    17Ver en GitHub↗

    A Scala library with primitives to build applications using the SpatioTemporal Asset Catalogs specification

    Primitives for building SpatioTemporal Asset Catalog applications.

    Scala
    Ver en GitHub↗17
  • melihmucuk/geocacheM

    melihmucuk/geocache

    0Ver en GitHub↗

    In-memory caching for location-based applications.

    Ver en GitHub↗0
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  4. Geospatial Processing

Explorar subetiquetas

  • In-Database Spatial AnalysisPerforms complex spatial analysis on geometric objects and raster data directly within the database engine. **Distinct from Geospatial Processing:** Focuses on in-database analytical processing rather than file format conversion or general libraries