Rtree: Spatial indexing for Python

Rtree is a ctypes Python wrapper of libspatialindex that provides a number of advanced spatial indexing features for the spatially curious Python user. These features include:

• Nearest neighbor search

• Intersection search

• Multi-dimensional indexes

• Clustered indexes (store Python pickles directly with index entries)

• Bulk loading

• Deletion

• Disk serialization

• Custom storage implementation (to implement spatial indexing in ZODB, for example)

Documentation

• Installation
  • *nix
  • Windows
• Tutorial
  • Creating an index
  • Using Rtree as a cheapo spatial database
  • Serializing your index to a file
  • 3D indexes
  • ZODB and Custom Storages
• Class Documentation
  • Index
  • Property
  • Item
• Miscellaneous Documentation
  • Exceptions
  • Finder module
• Changes
  • 1.4.0: 2025-03-06
  • 1.3.0: 2024-07-10
  • 1.2.0: 2024-01-19
  • 1.1.0: 2023-10-17
  • 1.0.1: 2022-10-12
  • 1.0.0: 2022-04-05
  • 0.9.3: 2019-12-10
  • 0.9.2: 2019-12-09
  • 0.9.0: 2019-11-24
  • 0.8: 2014-07-17
  • 0.7.0: 2011-12-29
  • 0.6.0: 2010-04-13
  • 0.5.0: 2009-08-06
  • 0.4.3: 2009-06-05
  • 0.4.2: 2009-05-25
  • 0.4.1: 2008-03-24
  • 0.4: 2008-01-24
  • 0.3: 26 November 2007
  • 0.2: 19 May 2007
  • 0.1: 13 April 2007
• Performance
  • Use stream loading
  • Override dumps to use the highest pickle protocol
  • Use objects=’raw’
  • Adjust index properties
  • Limit dimensionality to the amount you need
  • Use the correct query method
• History of Rtree

• Index

• Module Index

• Search Page