Skip to main content

GDAL: Geospatial Data Abstraction Library

Project description

The author of this package has not provided a project description

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

geoai_GDAL-3.4.3-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (79.1 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ ARM64

geoai_GDAL-3.4.3-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (79.1 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ ARM64

geoai_GDAL-3.4.3-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (79.1 MB view details)

Uploaded PyPymanylinux: glibc 2.17+ ARM64

geoai_GDAL-3.4.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (82.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

geoai_GDAL-3.4.3-cp310-cp310-win_amd64.whl (25.8 MB view details)

Uploaded CPython 3.10Windows x86-64

geoai_GDAL-3.4.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

geoai_GDAL-3.4.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (82.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

geoai_GDAL-3.4.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (82.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

geoai_GDAL-3.4.3-cp38-cp38-win_amd64.whl (25.8 MB view details)

Uploaded CPython 3.8Windows x86-64

geoai_GDAL-3.4.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (82.3 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

geoai_GDAL-3.4.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (35.4 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.5+ x86-64

File details

Details for the file geoai_GDAL-3.4.3-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for geoai_GDAL-3.4.3-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 87178a999a15c03f38dd574acfe7b496090967a8a5129530f36c5f1e5eabfcc2
MD5 9de335e88950987391fc227e63a1585d
BLAKE2b-256 b1230f0a592c9a63e7d2d5b4a70615d12cd4b9294f9d6cae6c75bc95a68787c9

See more details on using hashes here.

File details

Details for the file geoai_GDAL-3.4.3-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for geoai_GDAL-3.4.3-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 80ce690f3470cce6572dd90be74c03e044fc76f3d3a48bc57556538b2dfbb82f
MD5 7ada83c1810605fd0571bebd49ecd81e
BLAKE2b-256 fb7a7d6a32c5a44e0282301e2097ceae9e66017ed1ceedcd17d5441282e24089

See more details on using hashes here.

File details

Details for the file geoai_GDAL-3.4.3-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for geoai_GDAL-3.4.3-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6cff810b7a1a7dd3315a2fe546bebaea18edd0882c29d442e995f8b28b9ed2ca
MD5 1b282a8a81adc675870dd36cd1e41628
BLAKE2b-256 b6db6754d49a30dc2da6d60db02e8144cabad4834e15b9264361cfbe4c7f8c83

See more details on using hashes here.

File details

Details for the file geoai_GDAL-3.4.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for geoai_GDAL-3.4.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 835db55190366b7b731f04bfb6fb04cfc7d46892b77344e580041400012cf2a6
MD5 106c87ea75bd17b3c713e0947a6d57c9
BLAKE2b-256 e0772f0de3e5d777c542e7a51e56d9b3aef2d78b5acb16355f9a96046c63ae47

See more details on using hashes here.

File details

Details for the file geoai_GDAL-3.4.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: geoai_GDAL-3.4.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 25.8 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.16

File hashes

Hashes for geoai_GDAL-3.4.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 ef5d5d4bc3e1ad0a843425d654ffa8a4763b8cb8af855b3f0650a7793c9b0fe2
MD5 0f756429925027125b36b73abfe870c2
BLAKE2b-256 d494e6dd9ba44e95596b64d61ebb552cab9c38719958d6e8c67abf5f5f119afd

See more details on using hashes here.

File details

Details for the file geoai_GDAL-3.4.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for geoai_GDAL-3.4.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 905ee24208858b421227889b6e06005a0d37e364ec7744d03e674c02f760f16a
MD5 a5e7e2b054699c8c8b5bccd0708a3eb9
BLAKE2b-256 a8b8d171381cce507175edbaa0acd8e62cb6be68309d8982dc9fe62ac3c55aa4

See more details on using hashes here.

File details

Details for the file geoai_GDAL-3.4.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for geoai_GDAL-3.4.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a8adf4eb738fddea3526d5b3af7c2f82147f928eb8244741b1ac3b4c0dc9f103
MD5 52395047e467a526dd405a540b077dd3
BLAKE2b-256 095df0b3d3990465757d6f5e02e3beac532436bc68ad90aed709e78c50a3aa3b

See more details on using hashes here.

File details

Details for the file geoai_GDAL-3.4.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for geoai_GDAL-3.4.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3f0a2b174b1cca0d84bee3d7f1d5b598ca131bf7ade2782e18df477aa6cbb077
MD5 9c4eadaf2640661d994cdd28c026343c
BLAKE2b-256 d42dc8567ea91fce03dc14191457d4c8fb5207cadad6f2158ded1e9329b7712e

See more details on using hashes here.

File details

Details for the file geoai_GDAL-3.4.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: geoai_GDAL-3.4.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 25.8 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for geoai_GDAL-3.4.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 56eaff7f8066118ef56a90247966ed789d4bfe9847435a6be5580051bc4a3c60
MD5 9e682c4106ad0f99aa16ec3618691912
BLAKE2b-256 dcbf644374f20debc00dad1b35115a5f40a3767a4b79ceb2840dfdb091e43fa2

See more details on using hashes here.

File details

Details for the file geoai_GDAL-3.4.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for geoai_GDAL-3.4.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 79d5312050b3cd23b940fadf421d95f5a9cf123148a912b71974bed4b8566bf3
MD5 83d412286199f689a85cbc368af4f05e
BLAKE2b-256 ef1bd804eb880764f90f8d615b2114dea1a8d983a5149ed9c7b40348edd19c45

See more details on using hashes here.

File details

Details for the file geoai_GDAL-3.4.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for geoai_GDAL-3.4.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a15a09e4802e1fe0bf3e94838d4ef4348d124b9b0d5a1dedd7da468ef0fc5c0c
MD5 03171f8d3dac2e1b6320b3a83da29b35
BLAKE2b-256 f62949113ad8ad6abb2f2f573a5fb78d2280045275bc85b828df62fffed0e4a5

See more details on using hashes here.

Supported by

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