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-0.21.2.tar.gz (306.9 kB view details)

Uploaded Source

Built Distributions

tiledb-0.21.2-cp311-cp311-win_amd64.whl (5.2 MB view details)

Uploaded CPython 3.11 Windows x86-64

tiledb-0.21.2-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-0.21.2-cp311-cp311-macosx_11_0_arm64.whl (8.1 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

tiledb-0.21.2-cp311-cp311-macosx_10_15_x86_64.whl (10.8 MB view details)

Uploaded CPython 3.11 macOS 10.15+ x86-64

tiledb-0.21.2-cp310-cp310-win_amd64.whl (5.2 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb-0.21.2-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-0.21.2-cp310-cp310-macosx_11_0_arm64.whl (8.1 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

tiledb-0.21.2-cp310-cp310-macosx_10_15_x86_64.whl (10.9 MB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

tiledb-0.21.2-cp39-cp39-win_amd64.whl (5.2 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb-0.21.2-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-0.21.2-cp39-cp39-macosx_11_0_arm64.whl (8.1 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

tiledb-0.21.2-cp39-cp39-macosx_10_15_x86_64.whl (10.9 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

tiledb-0.21.2-cp38-cp38-win_amd64.whl (5.2 MB view details)

Uploaded CPython 3.8 Windows x86-64

tiledb-0.21.2-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-0.21.2-cp38-cp38-macosx_11_0_arm64.whl (8.1 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

tiledb-0.21.2-cp38-cp38-macosx_10_15_x86_64.whl (10.9 MB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

tiledb-0.21.2-cp37-cp37m-win_amd64.whl (5.2 MB view details)

Uploaded CPython 3.7m Windows x86-64

tiledb-0.21.2-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-0.21.2-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-0.21.2.tar.gz.

File metadata

  • Download URL: tiledb-0.21.2.tar.gz
  • Upload date:
  • Size: 306.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.9

File hashes

Hashes for tiledb-0.21.2.tar.gz
Algorithm Hash digest
SHA256 24ab690b8eb8ae0afb30130995b8d13d1bdc63c87393b36d8077f421b2975cb9
MD5 9683706c521db2ac6d7a1521b7015b4e
BLAKE2b-256 f01f2e123d8244a4306d368337e093472fa6fb19ae2554de907a922af1d16dfa

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.21.2-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-0.21.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 289de28e80d62a30ea4c0627bf982faaf53436342fb2187ae4c48302bdd96355
MD5 10ccc02e084ceee05c49607b34a945fb
BLAKE2b-256 c614b099ec38dd39790fb93d786c4e1188da8a303dcd20be1e8e4eda75d67d08

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 548af7fca65cb4a6390ec8e6c9f19c78122af113f5efb9fee84ec836fd1fe349
MD5 8e2bfe8d91004ce92198a6069eb90d8d
BLAKE2b-256 7ff424f512948a67699c927e1340d62976aff9354977b6d181bc5edf1fb58a47

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.2-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 88c9966736b0c2ac2521c653b46742c39c8103d500e4e49fa6790d5246808058
MD5 e92ab408f31694cf290ec5d795484514
BLAKE2b-256 04635a59d3f8a0eb8373c76fcec003de45fbce5cf462ca2c0df4ba9b638e8a80

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp311-cp311-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.2-cp311-cp311-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 8fbf4de0db59aeafbcc964572f025bc14b61876b78b239d6fba4fe112f30b077
MD5 75590ca4899cc014215bd7c51e3b23ec
BLAKE2b-256 fc8bd83d750d06f48753dbd4f29b6476efb5cb6a0a7edb6c5bf2a92860eefc45

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.21.2-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-0.21.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 bf4c3ce460fe3d8aa4ff95725a1bd0e151dd6584123baf929a78738139c46b85
MD5 ceca8b446fe450b063567de77073aaca
BLAKE2b-256 20e275428c2216ea37a6776349a7608e964deae530ac75e473887271a2b83444

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4f4ade6e69f2bb8c41062e583f5058f2a8a91d10ab52f289a60c6e9dcbca8bef
MD5 1e802e6c0f9cc7af7715bf7571f63477
BLAKE2b-256 5ebed6c2bd613dd0f5650f998ef57fd19bc79fbe5e887b3e5e41a62f0b135ba0

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.2-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ef6c0411774f9364d342a6553016f3443a8e22ead56c1d17a140a6823723812d
MD5 1332574bb6c99b8b3e75c3365e20ff1e
BLAKE2b-256 b274d226d058f433198e7f645332b37f5e6f32646cc6b40650f15cde1290d82c

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.2-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 5f5ea50e3ed246b32081115a52dfdd56e0f2b542bd5c4922ba2c1d03032c547c
MD5 e7f272988a99320a5d2dd4504e73b8b8
BLAKE2b-256 b705f99431c91c7e1350cc27d05125b50ca1505800706d3908696022e15f8512

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.21.2-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-0.21.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 50950c788dcc1ce021115a99398dd9c29c6aaf8993acc81f261773d188067f4a
MD5 d3ce963fb5c3e5dfecbd6088daa96f7d
BLAKE2b-256 ff1c96a81a8abce422570d19bd22bd4567799beb1b12b395912b38c0949b11c0

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e9869459bd13c6fa39cf04db210c0118a5739df2dffb7216a28ef43d3bf8f85c
MD5 ad6b0cbaf6eb7bc651c37cd802ae4af7
BLAKE2b-256 fc3270d8a962b1a039a97607e307291bc498307addabc9f7f5664ddcc76e4511

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.2-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 622e70292fd515eeef39c949c327eaead3f9a1893a89f4e0696b58323f766ace
MD5 73796cc3e9ac01c187e9468c85c36b09
BLAKE2b-256 fe6a28363b6294303c887bafabf9daa934f618c1257afe73c67077f1a2235738

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.2-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 48d624c79c14b3a0aac80d60c202d96bb64c60699365b07b23749bf8a1e76c58
MD5 df8b019de770de0d9170e1e52aaf6739
BLAKE2b-256 6a7a01463baf0975943473537147639654517401deaeaf4b3bae68b97076005b

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.21.2-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-0.21.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 d1a3191e59b2952fd61b100a46ed54e7cdcb99bd3543d1ac673aeeb20c7425ab
MD5 4420b3b74bee64fc0866032315dd2b6f
BLAKE2b-256 7f3ea1f8904e48abec089edb9ba6b02dd6b2408e3cf15a326026f8674d205437

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 375ea58ca9f7378f61758345387abae3d6834c09fa62ffa4a2160542691dcc88
MD5 72d22f953c18cc4b1f7fdc3d635e8e35
BLAKE2b-256 8f900adae12ae3fdae94cf03c98f489073e58e8c8c11ca524917824abcbc976b

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.2-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b0b32750526089f3f87f81436ec7b9dc94b331f13e33007ab8f08993678785c9
MD5 ebd91732f7744c40fc3ca6d1e05f0efa
BLAKE2b-256 8aa8e7f4d26225d3044c134b4ae07f88318ab10db8731e391ef559467c40face

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.2-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 84a48f82f23a42d013293c06897748c5707cb911e883e181735867ee3113e808
MD5 9526169fc869a4284b3ba489f4b0184d
BLAKE2b-256 a7e72fcc0a16206ce3e5e2247cc38e08fde74b88fc7344ce696f884c810ad724

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.21.2-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-0.21.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 3d65da4ded7ff20abe857cd4c70fc91aee185e3add0c77a5885492358ea61708
MD5 c721eea9fb25d561e8c7d0168db9fa45
BLAKE2b-256 0d3faad97d4a403317abbae83280aa5af0bde2cf182500d3b6a3d650f1cf6c9f

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e0e49f2536006a44ced4e0cc7bb6fd67c95f4fecb44fbceaa236decdedffe988
MD5 c6e307d6fea197db8f4eb8e792196bbd
BLAKE2b-256 4f51aa346210860aa2c5652a91fdf62bf378d2f7a49e4cbe68390f33a913ed16

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.21.2-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.21.2-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 ad1703d0bcab3fadb9a9e7301cb3cad0ab01a2e1e2ee5bd764eaffe01b510674
MD5 bddadf503c7e0082855823376c6652d4
BLAKE2b-256 e40f3b36dcc597c1c3c2d0f0dd0d8dfb766c0a7db4e9faacc3739efdd71107b8

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