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-0.21.3.tar.gz (307.7 kB view details)

Uploaded Source

Built Distributions

tiledb-0.21.3-cp311-cp311-win_amd64.whl (5.2 MB view details)

Uploaded CPython 3.11 Windows x86-64

tiledb-0.21.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tiledb-0.21.3-cp311-cp311-macosx_11_0_arm64.whl (8.1 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

tiledb-0.21.3-cp311-cp311-macosx_10_15_x86_64.whl (10.8 MB view details)

Uploaded CPython 3.11 macOS 10.15+ x86-64

tiledb-0.21.3-cp310-cp310-win_amd64.whl (5.2 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb-0.21.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tiledb-0.21.3-cp310-cp310-macosx_11_0_arm64.whl (8.1 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

tiledb-0.21.3-cp310-cp310-macosx_10_15_x86_64.whl (10.9 MB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

tiledb-0.21.3-cp39-cp39-win_amd64.whl (5.2 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb-0.21.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tiledb-0.21.3-cp39-cp39-macosx_11_0_arm64.whl (8.1 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

tiledb-0.21.3-cp39-cp39-macosx_10_15_x86_64.whl (10.9 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

tiledb-0.21.3-cp38-cp38-win_amd64.whl (5.2 MB view details)

Uploaded CPython 3.8 Windows x86-64

tiledb-0.21.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

tiledb-0.21.3-cp38-cp38-macosx_11_0_arm64.whl (8.1 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

tiledb-0.21.3-cp38-cp38-macosx_10_15_x86_64.whl (10.9 MB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

tiledb-0.21.3-cp37-cp37m-win_amd64.whl (5.2 MB view details)

Uploaded CPython 3.7m Windows x86-64

tiledb-0.21.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20.7 MB view details)

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

tiledb-0.21.3-cp37-cp37m-macosx_10_15_x86_64.whl (10.8 MB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

File details

Details for the file tiledb-0.21.3.tar.gz.

File metadata

  • Download URL: tiledb-0.21.3.tar.gz
  • Upload date:
  • Size: 307.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.9

File hashes

Hashes for tiledb-0.21.3.tar.gz
Algorithm Hash digest
SHA256 391e4fdcf42cd1d8b2f7a9e78cb7d0768a0160dfb75f1860a44dafd1fbd56d66
MD5 7ce0c716fceebd2a97d780088c18312c
BLAKE2b-256 0e58b067c92f7073b74887e1df99ce82c7484ed28058312548aa8b1d326f8104

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.21.3-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 5.2 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-0.21.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 c33def410b161119fc21a76bc8c910923de69f528a0e6e2d886b6720df7e6903
MD5 cc598c7b00bdd8173899a81f92fbe08a
BLAKE2b-256 0e838229cb9103fb7a06fa87bc94f63506107c8573d0637eb934fe32a007cea6

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 80ecb54975217f7ed6c6385b3c2604f6b790748e2072d82348836945c8650e2d
MD5 aa62f332123829eb2edfe973858eb523
BLAKE2b-256 81528853b27709d6c993fabd4f42fe082c36f172dca0692865bd6a5de644a8a4

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.3-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6b1ef07b1dbe1abbf9b39d3d39b9db2a837816c5c82bacdff6b0aa394aedc884
MD5 6b945ded07e71f6e87da1771834fe214
BLAKE2b-256 a4df0388cd9e71ca74f266c78b4f850a46a4f3c6e6c7c45576c96c0a05bd7f64

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp311-cp311-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.3-cp311-cp311-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 2d95066f48f89799fdd01b806781ee7e06a523a600361041967d9177fdee2f8f
MD5 f5723dc489ab0412c2bb1c3918296f39
BLAKE2b-256 bf756d17df527180e62230d2bc4a781e6a042286a8730f2c2ede6664476288d3

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.21.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 5.2 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-0.21.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 174a1c2e5d9dafb6ce4cbb3cd1b529a001e4ba91ad621af16df0babb722c8e0c
MD5 b76752baa1b8c373b44c629319567854
BLAKE2b-256 59e680bc6fcf06f11f22b13f51b8a672fd43252a86a22a9f40a3ed4e9409f585

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 571033928ea2e1ec96ccf3c8d0c87967ceb0ea6d7e712e3b6a2a70a7ee6b4040
MD5 a387a8108992989d94c4ef32f18cbee9
BLAKE2b-256 15bbbb59428e8a5a3c6d50ea03bb02f0fc7b5c375cec74bb7c00b02fb62c8c36

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.3-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 cf928877ab97c1f6b2fe4a9d1e08a889a7ffd31b48f85601a383776935f0569d
MD5 90fa29120cd7621a772d4bb76c5ec366
BLAKE2b-256 c27217d91cdeacfdf242a766ef185d2141e58084af31b3b5315f8bddae04460d

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.3-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 359813d08dfb3f18d162bf9df6e76310e9e2b3f41c61f826782deeb49d0bde87
MD5 3fda7cd216c27057c9e24fdc7ed74bb6
BLAKE2b-256 d8b8894acbbe170dd8ea325bd20d59f88f8017a0d252f69d5e6691793b504818

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.21.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 5.2 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-0.21.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 377361182a978397bf058a9d991efa694079218cb0e53d6a49091d507a5e3a4a
MD5 fda437974676171cc8acfadb36b1ffdb
BLAKE2b-256 4f8debc4a7b4dfcfddd8b6bff69995a7010db5a0cd4da08bfd589620bd059b13

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 383487c526532b9b514292102120ff484e3809e38cc5574319a86ba57ea52e58
MD5 0f100e210e9e0f444287fa014f1337f2
BLAKE2b-256 f50326c261a341f6dbff8e4232572da6731cba6da6c75a5f3d3ff47918cbcc5a

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.3-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0d21eecf6b16f813dc4f8e1df1bf91971a70cf1090b1296b8c511a28bc02a75c
MD5 0ce461f6c571a35be67bb4fa8106e80c
BLAKE2b-256 4088a5797fd69e7b17c5a18c6a089fbc8dcad6fc05d1013ff6d819148f7cfc0b

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.3-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 4364c2e1c36d3db42e29e30e9dd740df1ab4855aa01ea86d973046563446edc1
MD5 2d47fc6ab60a1db7bf38d43b014bdde2
BLAKE2b-256 73fad3f8ec07cc1a3e1e7c95769ffa3fee23b8240f77846834125479b0da5c54

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.21.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 5.2 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-0.21.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 5ca4319f712c5549bc4fe6b51e86f5d3a6141820e5cda4833bc5d9e3fcd9a362
MD5 b09b47f952ec2d02f709683e59a8fa98
BLAKE2b-256 f11e220b84aef228414734d910c30dabcae21a4d6410ac6d5ff6ffcb579be720

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6d807aed0390ff33b9a1d4d3348b3a9cece12f7f0c7bbd9b18c8be3191a62392
MD5 acd0d4355c805df3b2ca8e7100b5ca8d
BLAKE2b-256 add5b36073e591360f2691124a87b72d2b6fb35d9a97cccc16f66ef47b2d146d

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.3-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 229efd3c44ca69139a58b019d1e722d3505c83b925f38177cee30b4b1c538dbb
MD5 9411e15076be7a277d9c373e7ebb5b28
BLAKE2b-256 b075c59d6e9417189b56943393163e42975a27a58463756b122681b5048b8697

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.3-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 5b66c22d136be762a841f35b30c6975b8c8173bddf31eafb0a71caefe6617adf
MD5 b57250dd43d50a593178e9004e90c0b1
BLAKE2b-256 cd670a76b4914f39041cc471f7292ff314c64a6c0cd30d3850db998abe264aaf

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.21.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 5.2 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-0.21.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 7e68869c2acc212d9691b04f7ff65a09f441bbdbaa125350008c24573332b2ad
MD5 3baf1504b3ad4b82f8682de01484b524
BLAKE2b-256 6456c59657a93e20419420524f16d2d597581dcff2528761e369c22759f683f1

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bd94f557c54779903544d9521ee55c7d8323ef0e52bc163ba8e425e37d2e9e49
MD5 55548416d5b9109c195de79cdf270a01
BLAKE2b-256 71d5e7b674c287d3e26b2056c8dd4b69b05ae7f84f94b5724f144e528f5fab5b

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.3-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.3-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 1a6d745a719ad93345411351c22355cd9e32008cad5c6137bc1ee6fcfea9959e
MD5 37ee58c6ce83e7f6517ee48eb860b5bf
BLAKE2b-256 6e2fe208b8d49a4224d8421d4998f302f63a97947d8e9d9e26adc2dcb678e90f

See more details on using hashes here.

Provenance

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