awesome-repositories.com
博客
MCP
awesome-repositories.com

通过 AI 驱动的搜索,发现最优秀的开源仓库。

探索精选搜索开源替代品自托管软件博客网站地图
项目MCP 服务器关于排名机制媒体报道
法律隐私政策服务条款
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
Back to geospatialpython/pyshp

Open-source alternatives to Pyshp

14 open-source projects similar to geospatialpython/pyshp, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Pyshp alternative.

  • cmla/s2pcmla 的头像

    cmla/s2p

    259在 GitHub 上查看↗

    S2P is a Python library and command line tool that implements a stereo pipeline which produces elevation models from images taken by high resolution optical satellites such as Pléiades, WorldView, QuickBird, Spot or Ikonos. It generates 3D point clouds and digital surface models from stereo…

    Python
    在 GitHub 上查看↗259
  • earthlab/earthpyearthlab 的头像

    earthlab/earthpy

    536在 GitHub 上查看↗

    EarthPy makes it easier to plot and manipulate spatial data in Python.

    Python
    在 GitHub 上查看↗536
  • osgeo/gdalOSGeo 的头像

    OSGeo/gdal

    5,942在 GitHub 上查看↗

    GDAL is an MIT-licensed open source translator library that provides a unified abstract data model for reading and writing geospatial raster and vector data across hundreds of file formats. It serves as a foundational geospatial data translation library, enabling access to diverse geospatial data formats through a single, consistent interface. The library exposes its core functionality through command-line utilities that allow users to translate, convert, and process geospatial data between formats. A coordinate transformation engine handles conversions between spatial reference systems, whil

    C++
    在 GitHub 上查看↗5,942
  • googlemaps/android-maps-utilsgooglemaps 的头像

    googlemaps/android-maps-utils

    3,597在 GitHub 上查看↗

    This project is a utility library for the Google Maps SDK for Android, providing a suite of specialized tools for rendering geospatial data, calculating spherical geometry, and visualizing map markers and heatmaps. It serves as a helper collection to handle complex geospatial tasks within Android applications. The library features a marker clustering tool to group nearby markers into single icons and a map data visualizer for generating heatmaps based on the intensity and distribution of geographic points. It also includes a polyline encoding tool for compressing coordinate sequences into com

    Javaandroidgeojsongoogle-maps
    在 GitHub 上查看↗3,597

AI 搜索

探索更多 awesome 仓库

用简单的语言描述您的需求 —— AI 将根据相关性为您从数千个精选开源项目中进行排序。

Find more with AI search
  • planetlabs/numpytiles-specplanetlabs 的头像

    planetlabs/numpytiles-spec

    24在 GitHub 上查看↗

    NumpyTiles is an open standard for communicating map raster data.

    在 GitHub 上查看↗24
  • rgeo/rgeo-shapefilergeo 的头像

    rgeo/rgeo-shapefile

    98在 GitHub 上查看↗

    RGeo component for reading ESRI shapefiles

    Ruby
    在 GitHub 上查看↗98
  • robintw/xarrayandrasterioR

    robintw/XArrayAndRasterio

    0在 GitHub 上查看↗

    Experimental code for loading/saving XArray DataArrays to Geographic Rasters using rasterio

    在 GitHub 上查看↗0
  • sshuair/awesome-gissshuair 的头像

    sshuair/awesome-gis

    5,388在 GitHub 上查看↗

    😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.

    awesomegeogeospatial
    在 GitHub 上查看↗5,388
  • sshuair/dl-satellite-dockerS

    sshuair/dl-satellite-docker

    0在 GitHub 上查看↗

    Deep learning docker files and docker images for geospatial anaysis. It contains the most popular deep learning frameworks(PyTorch and Tensorflow) with CPU and GPU support (CUDA and cuDNN included). And some other commonly used packages in machine learning and geospatial anaysis.

    在 GitHub 上查看↗0
  • addresscloud/aws-lambda-docker-rasterioaddresscloud 的头像

    addresscloud/aws-lambda-docker-rasterio

    19在 GitHub 上查看↗

    AWS Lambda Container Image with Python Rasterio for querying Cloud Optimised GeoTiffs.

    Python
    在 GitHub 上查看↗19
  • up42/image-similarity-measuresup42 的头像

    up42/image-similarity-measures

    643在 GitHub 上查看↗

    :chartwithupwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.

    Python
    在 GitHub 上查看↗643
  • airbusgeo/godalairbusgeo 的头像

    airbusgeo/godal

    177在 GitHub 上查看↗

    golang wrapper for github.com/OSGEO/gdal

    Go
    在 GitHub 上查看↗177
  • azavea/loamazavea 的头像

    azavea/loam

    227在 GitHub 上查看↗

    A wrapper for running GDAL in the browser using gdal-js

    JavaScript
    在 GitHub 上查看↗227
  • corteva/rioxarraycorteva 的头像

    corteva/rioxarray

    619在 GitHub 上查看↗

    rioxarray README

    Python
    在 GitHub 上查看↗619