Sarah Hoffmann 42f0282f14 remove special case for operator names
The OSM data has been sufficiently cleaned up by now that
the operator no longer needs to be considered a name tag.
Use 'brand' as the searchable alternative.
2022-03-18 10:48:53 +01:00
2022-02-05 16:07:12 +01:00
2022-03-17 11:05:32 +01:00
2021-10-18 09:03:07 +02:00
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2012-09-29 18:53:21 +02:00
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2021-11-02 20:27:55 +01:00
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2016-09-04 03:19:48 +02:00
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2022-02-23 09:22:17 +01:00

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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