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Back to bokeh/datashader

Projects sharing features with Datashader

7 open-source projects similar to bokeh/datashader, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.

  • deniscarriere/geocoderDenisCarriere avatar

    DenisCarriere/geocoder

    1,657View on GitHub↗

    :earth_asia: Python Geocoder

    Python
    View on GitHub↗1,657
  • geopandas/geopandasgeopandas avatar

    geopandas/geopandas

    5,049View on GitHub↗

    GeoPandas is a Python library that extends pandas with native support for geospatial data. It treats geographic geometries—points, lines, and polygons—as a first-class column type within DataFrames, enabling users to store, manipulate, and analyze vector spatial data alongside traditional tabular attributes. The library is built on top of proven geospatial components: it uses Shapely for all geometric operations, Fiona and GDAL for reading and writing standard spatial file formats, PyProj for coordinate reprojection, and an R‑tree spatial index (from Shapely) to accelerate spatial queries. Wh

    Pythongeoparquetgeospatialpandas
    View on GitHub↗5,049
  • lmcinnes/pynndescentL

    lmcinnes/pynndescent

    0View on GitHub↗
    View on GitHub↗0
  • pbugnion/gmapsP

    pbugnion/gmaps

    0View on GitHub↗
    View on GitHub↗0
  • pysal/pysalpysal avatar

    pysal/pysal

    1,503View on GitHub↗

    PySAL: Python Spatial Analysis Library Meta-Package

    Python
    View on GitHub↗1,503
  • python-visualization/foliumpython-visualization avatar

    python-visualization/folium

    7,372View on GitHub↗

    Folium is a Python library that builds interactive Leaflet.js maps directly from Python data structures, enabling geographic data visualization in Jupyter notebooks or as standalone HTML pages. It creates maps centered on given coordinates with configurable zoom, tiles, and dimensions, and supports embedding those maps inside web routes for serving in browsers. The library provides a comprehensive set of tools for data-driven map creation, including choropleth maps that bind tabular data to geographic geometries, colormap application to markers and polygons, and GeoJSON data overlay and visua

    Pythondata-sciencedata-visualizationjavascript
    View on GitHub↗7,372

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  • ushahidi/geograpyU

    ushahidi/geograpy

    0View on GitHub↗
    View on GitHub↗0