Sarah Hoffmann dcdda314e2 further tweak search containing very frequent tokens
Excluding non-rare full names is not really possible because it makes
addresses with street names like 'main st' unsearchable. This tries to
leav all names in but refrain from ordering results by accuracy
when too many results are expected. This means that the DB will simply
get the first n results without any particular order.
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Build Status codecov

Nominatim

Nominatim (from the Latin, 'by name') is a tool to search OpenStreetMap data by name and address (geocoding) and to generate synthetic addresses of OSM points (reverse geocoding). An instance with up-to-date data can be found at https://nominatim.openstreetmap.org. Nominatim is also used as one of the sources for the Search box on the OpenStreetMap home page.

Documentation

The documentation of the latest development version is in the docs/ subdirectory. A HTML version can be found at https://nominatim.org/release-docs/develop/ .

Installation

The latest stable release can be downloaded from https://nominatim.org. There you can also find installation instructions for the release, as well as an extensive Troubleshooting/FAQ section.

Detailed installation instructions for current master can be found at nominatim.org as well.

A quick summary of the necessary steps:

  1. Compile Nominatim:

     mkdir build
     cd build
     cmake ..
     make
     sudo make install
    
  2. Create a project directory, get OSM data and import:

     mkdir nominatim-project
     cd nominatim-project
     nominatim import --osm-file <your planet file>
    
  3. Point your webserver to the nominatim-project/website directory.

License

The source code is available under a GPLv2 license.

Contributing

Contributions, bugreport and pull requests are welcome. For details see contribution guide.

Questions and help

For questions, community help and discussions you can use the Github discussions forum or join the geocoding mailing list.

Description
Open Source search based on OpenStreetMap data
Readme 167 MiB
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