Skip to main content

Pythonic interface to the TileDB array storage manager

Project description

TileDB logo

Build Status Anaconda download count badge

TileDB-Py

TileDB-Py is a Python interface to the TileDB Storage Engine.

Quick Links

Quick Installation

TileDB-Py is available from either PyPI with pip:

pip install tiledb

or from conda-forge with conda or mamba:

conda install -c conda-forge tiledb-py

Dataframes functionality (tiledb.from_pandas, Array.df[]) requires Pandas 1.0 or higher, and PyArrow 1.0 or higher.

Contributing

We welcome contributions, please see CONTRIBUTING.md for suggestions and development-build instructions. For larger features, please open an issue to discuss goals and approach in order to ensure a smooth PR integration and review process.

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

tiledb-0.26.2.tar.gz (336.7 kB view details)

Uploaded Source

Built Distributions

tiledb-0.26.2-cp312-cp312-win_amd64.whl (8.2 MB view details)

Uploaded CPython 3.12 Windows x86-64

tiledb-0.26.2-cp311-cp311-win_amd64.whl (8.2 MB view details)

Uploaded CPython 3.11 Windows x86-64

tiledb-0.26.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tiledb-0.26.2-cp311-cp311-macosx_11_0_x86_64.whl (13.3 MB view details)

Uploaded CPython 3.11 macOS 11.0+ x86-64

tiledb-0.26.2-cp311-cp311-macosx_11_0_arm64.whl (11.7 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

tiledb-0.26.2-cp310-cp310-win_amd64.whl (8.2 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb-0.26.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tiledb-0.26.2-cp310-cp310-macosx_11_0_x86_64.whl (13.3 MB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

tiledb-0.26.2-cp310-cp310-macosx_11_0_arm64.whl (11.7 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

tiledb-0.26.2-cp39-cp39-win_amd64.whl (8.2 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb-0.26.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tiledb-0.26.2-cp39-cp39-macosx_11_0_x86_64.whl (13.3 MB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

tiledb-0.26.2-cp39-cp39-macosx_11_0_arm64.whl (11.7 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

tiledb-0.26.2-cp38-cp38-win_amd64.whl (8.2 MB view details)

Uploaded CPython 3.8 Windows x86-64

tiledb-0.26.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

tiledb-0.26.2-cp38-cp38-macosx_11_0_x86_64.whl (13.3 MB view details)

Uploaded CPython 3.8 macOS 11.0+ x86-64

tiledb-0.26.2-cp38-cp38-macosx_11_0_arm64.whl (11.7 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

tiledb-0.26.2-cp37-cp37m-win_amd64.whl (8.2 MB view details)

Uploaded CPython 3.7m Windows x86-64

tiledb-0.26.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

tiledb-0.26.2-cp37-cp37m-macosx_11_0_x86_64.whl (13.2 MB view details)

Uploaded CPython 3.7m macOS 11.0+ x86-64

tiledb-0.26.2-cp36-cp36m-win_amd64.whl (8.2 MB view details)

Uploaded CPython 3.6m Windows x86-64

File details

Details for the file tiledb-0.26.2.tar.gz.

File metadata

  • Download URL: tiledb-0.26.2.tar.gz
  • Upload date:
  • Size: 336.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.9

File hashes

Hashes for tiledb-0.26.2.tar.gz
Algorithm Hash digest
SHA256 746bbe7d65114a1027e25c276fa3ca7f88659bd7ebb96c3d8443dd4a44323c9b
MD5 c1f97a451da710f2d70a46516e1c5cbc
BLAKE2b-256 522fe8fe253135b66459e8e725a5c23e273e1eb086df406a99d692c15281b287

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.26.2-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 8.2 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.9

File hashes

Hashes for tiledb-0.26.2-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 558715f11d42e426386b359701792aaec21b243c7288221e42e93b26ec5f7e7e
MD5 474ef051897ea336902fbd530a41db14
BLAKE2b-256 9b437a9f2d142d7d6419210f26e5c92d849a00208228c173ec9890d62094c3df

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.26.2-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 8.2 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.9

File hashes

Hashes for tiledb-0.26.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 7b6f36599965a196e90869d9ce1946e8950a08f02d4c2fb57f6053de4e832939
MD5 9bc11a492ef0027c0a307b21ffc5cf88
BLAKE2b-256 3616efb8661904749dc2b5a96ba0f549392fb56acaaf3d8581e5f817b9438736

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.26.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7dc9297b1ea2cdf78c562cc816ea9f481d251124b44d70109c3f03d4e328e68c
MD5 c5be2bd7fe47416a378b4d1165ef9ec3
BLAKE2b-256 c4252153498c79e6e07da4d927d3387b9a5f9facdd0f98653d917a3e3fd3cbd4

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp311-cp311-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.26.2-cp311-cp311-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 d8173ce650c44db95426a8d7e2ab77ffda8fd86d3636463104df82f6fef439e5
MD5 0484d1af95ee734aa5e8e0fd9c71e121
BLAKE2b-256 dd708b6a43f8ed334bbee0ae3af4d539bf5480111da1b9b282f16a58225e4ae0

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.26.2-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 84d2e3ae4fdf28d3bef8398a6da1deb9b0556543ab7f094472094d9e1f887b6c
MD5 0811f8be3422b9bf72300373b72576a6
BLAKE2b-256 cd0e68daad88004a49b6bb9f576b24998d9249088954ab35512e9f708303357c

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.26.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 8.2 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.9

File hashes

Hashes for tiledb-0.26.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 781ce49d6dfbfd1e753acbf432931b9ba71c38e88ba3729ac0c4b44be15d0787
MD5 3811d23f028788dfd3cb10a7e994b15f
BLAKE2b-256 9d0bf96e2929bb463c705991fc68a9fc50e9cd48b7710529d47344f90e33baca

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.26.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2d3592fa5dfd101e492664069f771a98d6727054c00441bde23c62896cefb9cc
MD5 cc6e1973d3a8b22423a52bdfbba5a75a
BLAKE2b-256 1271f8954797abacf5a2dea5b42b922bea7e27cc092e5a72675624b85be87d40

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.26.2-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 49cf840bf5ec8581705a9f844b00d557d45b24ade6e3730ba92b344c7b8fd5f8
MD5 af583a01725372e75d7ae7370ed77ab8
BLAKE2b-256 71ab1a1238aca1857d705e2bf3379304ced21ef2b5c94ee4494a34d1b18b3759

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.26.2-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8fffcbd14471e3c96887921982ef4e0e3b5d2e274dd2f2229baf783dc60b5caf
MD5 c032476ce7f1107bf8e34b69354d7657
BLAKE2b-256 6ad8ec585ffa59a6c14c4d5ee81f176dcfadd0eb30ccc3eddeeff45eef86896a

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.26.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 8.2 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.9

File hashes

Hashes for tiledb-0.26.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 f57578dfffb9b5f824b7c747f2a1aadc259e502c2e230dd8fa26756c96bca484
MD5 07cc644291be6d650644f4c98c501d95
BLAKE2b-256 c40466757ae17b21396775f77c5c551cbb7e4ab5dcc46b021c4819c7454695cb

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.26.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7f489c5eead4798e60b0bfa837059c63fb2cbf18e80d81210ba57ab30d7f9897
MD5 018b3132d76cefd7f0c77f612160a90e
BLAKE2b-256 5625adb930baaa64c16f00dbb51b4fbf1c95edc09b629b15af743aa79099c3b6

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.26.2-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 dbe82bf83c1e0069df1381d240d47d171ce79ca5cf52a07ae1a5f55b11781b35
MD5 65ef9fb75c84cd80854ddc83f120c127
BLAKE2b-256 61eb545952262076f36596c916b2494607171363775af8f55c429d6aea260979

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.26.2-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 88b768f2d4cd8347c5f6b289c9f56e2eb7b458b16acaf043792115d7b40f9d56
MD5 9fadc4a212dc9861bf3c4b66b1dac44a
BLAKE2b-256 31fd44d33909dd0c6803784570e326f8e0893306c1a1735579903ecf327a682b

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.26.2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 8.2 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.9

File hashes

Hashes for tiledb-0.26.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 38c2e1b838714451a4b4c5e9b95468fbd57e84115ef9b0413e549f2b4eb2541f
MD5 6fdc723631dd4965f956c0320bfe008a
BLAKE2b-256 a5b00ebe1f171aeb9b40f711f00be2eb5b9b898e81d145c4f8b9dd9ddaa53188

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.26.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 91d1216bf285c2c734ed6a63b6b6730f14fe7182e50acdd75e11dcc1bc3879fa
MD5 59b5075b858c0f5ddf23c11e8d1cb1a1
BLAKE2b-256 ea3d1768048ea8512c167a1d2fc7c61de8beb88ff62ed0d9773128b4d396bb44

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.26.2-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 d90d3d253a5ab30ca381b76a328887bdf9283d96af40794ee1654a558e9d2e1e
MD5 41132adbfa73932bf0160b61d15f03a7
BLAKE2b-256 33a73bfec31f3288bb649d33601a07c897e32fbae754a98d3fb0684c7badcef5

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.26.2-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 39886aae9c018f993971967ef132e7ae1a3ac25feb2c4a1914496e3c9250a015
MD5 777b60705d6b7fde40622c760837e73e
BLAKE2b-256 773f38da9ef589b786c4e87812d8ddc0e2625f68281124207f996c80e4a94e76

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.26.2-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 8.2 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.9

File hashes

Hashes for tiledb-0.26.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 e327006cbc6b4560ffe6715a7b2eb255b7d9d24d322e21ebeec9bd6c402aca25
MD5 635e82d14510e7cdb7e086bebe71e28a
BLAKE2b-256 98f5e0b33b637e2fbccd39f6c9809efc4f7928a42223d3038b7c3c84627c96f0

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.26.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a814df06f0337c1e81f7adba9049eb505e09a5417cdc0d59c3581366969daf68
MD5 592b556c2ea0abdaeac58759075f3eb1
BLAKE2b-256 ef8fd84f2fb1502bcc1576814125d2ed86f7c2973000b3b18a202d806ea984ff

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp37-cp37m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.26.2-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 b8634ea7cf5b102b036b399e02d71124b15e02809b72dad321e837a148954516
MD5 9ac15d40f1dc7a1b851e9e9f7936e118
BLAKE2b-256 7cc6fc85f0cd4d2216da95a80b562906dd042dff91bd1218c1ae5b7a14ba9744

See more details on using hashes here.

File details

Details for the file tiledb-0.26.2-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.26.2-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 8.2 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.9

File hashes

Hashes for tiledb-0.26.2-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 67370d17d399634e1faca263e77138776634385d03d39c1595180440c7f2870c
MD5 5ec6ea2a81e8ea3778f11eb047ec7314
BLAKE2b-256 a8b4bb20a4e325f7d5ca1c10adf6f7c8b9b080d6b0b972bf98b2057a32fec0d7

See more details on using hashes here.

Supported by

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