Skip to main content

Python toolbox to process large vector files faster.

Project description

geofileops

Actions Status Coverage Status PyPI version Conda version DOI

Geofileops is a python toolbox to process large vector files faster.

Most typical GIS operations are available: e.g. buffer, dissolve, difference, intersection, union,...

The spatial operations are tested on geopackage and shapefile input files, but geopackage is recommended as it will give better performance. General layer and file operations can be used on the file formats supported by GDAL.

The full documentation is available on readthedocs.

Different techniques are used under the hood to be able to process large files as fast as possible:

  • process data in batches
  • subdivide/merge complex geometries on the fly
  • process data in different passes
  • use all available CPU cores

The following chart gives an impression of the speed improvement that can be expected when processing larger files. The benchmarks typically use input file(s) with 500K polygons, ran on a Windows PC with 12 cores and include I/O.

Geo benchmark

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

geofileops-0.11.2.tar.gz (181.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

geofileops-0.11.2-py3-none-any.whl (191.6 kB view details)

Uploaded Python 3

File details

Details for the file geofileops-0.11.2.tar.gz.

File metadata

  • Download URL: geofileops-0.11.2.tar.gz
  • Upload date:
  • Size: 181.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for geofileops-0.11.2.tar.gz
Algorithm Hash digest
SHA256 89203996bab35a77fb0e8813fa0dc7d65a06d9dcc417c2aafb5e39b7e48db16e
MD5 0cd2e79d9dcf71852745207612f1e1f3
BLAKE2b-256 a0c0636ee83c78930fc7806197751e31d4175c33e1379b4a23f5d775a4fb9b24

See more details on using hashes here.

File details

Details for the file geofileops-0.11.2-py3-none-any.whl.

File metadata

  • Download URL: geofileops-0.11.2-py3-none-any.whl
  • Upload date:
  • Size: 191.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for geofileops-0.11.2-py3-none-any.whl
Algorithm Hash digest
SHA256 e7f8ed012e524c16b9ca6c39f0b2024ed69f5e41f40e9066e33f0a874188c2ef
MD5 7abf1e7e86301f5399f41c8678a50b13
BLAKE2b-256 cf1cbb9f870e2fd5d80a16a64951e709fa6fdc87d6f206e24aa0feee2df25e93

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page