biswajit-k ca149fb796 Adds sanitizer for preventing certain tags to enter search index based on parameters
fix: pylint error

added docs for delete tags sanitizer

fixed typos in docs and code comments

fix: python typechecking error

fixed rank address type

Revert "fixed typos in docs and code comments"

This reverts commit 6839eea755a87f557895f30524fb5c03dd983d60.

added default parameters and refactored code

added test for all parameters
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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 162 MiB
Languages
Python 71.2%
Gherkin 17.9%
PLpgSQL 7.1%
Lua 2.3%
Shell 1.3%
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