Pythonic interface to the TileDB array storage manager

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dudoslav from gravatar.com dudoslav Avatar for ihnorton from gravatar.com ihnorton Avatar for kounelisagis from gravatar.com kounelisagis Avatar for nguyenv from gravatar.com nguyenv Avatar for tiledbinc from gravatar.com tiledbinc

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dudoslav from gravatar.com dudoslav Avatar for ihnorton from gravatar.com ihnorton Avatar for kounelisagis from gravatar.com kounelisagis Avatar for nguyenv from gravatar.com nguyenv Avatar for tiledbinc from gravatar.com tiledbinc

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

0.32.5

0.32.4

0.32.3

0.32.2

0.32.1

0.32.0

0.31.1

0.31.0

0.30.2

0.30.1

0.30.0

0.29.1

0.29.0

0.28.0

0.27.1

0.27.0

0.26.4

0.26.3

0.26.2

0.26.1

0.26.0

0.25.1

0.25.0

0.24.1

0.24.0

0.23.5

0.23.4

0.23.3

0.23.2

0.23.1

0.23.0

0.22.3

0.22.2

0.22.1

This version

0.22.0

0.21.6

0.21.5

0.21.4

0.21.3

0.21.2

0.21.1

0.20.0

0.19.1

0.19.0

0.18.3

0.18.2

0.18.1

0.18.0

0.17.6

0.17.5

0.17.4

0.17.3

0.17.2

0.17.1

0.17.0

0.16.5

0.16.4

0.16.3

0.16.2

0.16.1

0.16.0

0.15.6

0.15.5

0.15.3

0.15.2

0.15.1

0.15.0

0.14.5

0.14.4

0.14.3

0.14.2

0.14.1

0.14.0

0.13.3

0.13.2

0.13.1

0.13.0

0.12.4

0.11.5

0.10.5

0.9.5

0.8.11

0.8.7

0.8.0

0.7.7

0.6.6

0.5.9

0.5.8

0.5.7

0.5.6

0.5.5

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.1

0.3.0

0.2.1

0.2.0

0.1.1

0.1.1.dev2 pre-release

Download files

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

Source Distribution

tiledb-0.22.0.tar.gz (309.3 kB view details)

Uploaded Source

Built Distributions

tiledb-0.22.0-cp311-cp311-win_amd64.whl (5.4 MB view details)

Uploaded CPython 3.11 Windows x86-64

tiledb-0.22.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tiledb-0.22.0-cp311-cp311-macosx_11_0_arm64.whl (9.2 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

tiledb-0.22.0-cp311-cp311-macosx_10_15_x86_64.whl (11.7 MB view details)

Uploaded CPython 3.11 macOS 10.15+ x86-64

tiledb-0.22.0-cp310-cp310-win_amd64.whl (5.4 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb-0.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tiledb-0.22.0-cp310-cp310-macosx_11_0_arm64.whl (9.2 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

tiledb-0.22.0-cp310-cp310-macosx_10_15_x86_64.whl (11.7 MB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

tiledb-0.22.0-cp39-cp39-win_amd64.whl (5.4 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb-0.22.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tiledb-0.22.0-cp39-cp39-macosx_11_0_arm64.whl (9.2 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

tiledb-0.22.0-cp39-cp39-macosx_10_15_x86_64.whl (11.7 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

tiledb-0.22.0-cp38-cp38-win_amd64.whl (5.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

tiledb-0.22.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

tiledb-0.22.0-cp38-cp38-macosx_11_0_arm64.whl (9.2 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

tiledb-0.22.0-cp38-cp38-macosx_10_15_x86_64.whl (11.7 MB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

tiledb-0.22.0-cp37-cp37m-win_amd64.whl (5.4 MB view details)

Uploaded CPython 3.7m Windows x86-64

tiledb-0.22.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.4 MB view details)

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

tiledb-0.22.0-cp37-cp37m-macosx_10_15_x86_64.whl (11.7 MB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

File details

Details for the file tiledb-0.22.0.tar.gz.

File metadata

  • Download URL: tiledb-0.22.0.tar.gz
  • Upload date:
  • Size: 309.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.9

File hashes

Hashes for tiledb-0.22.0.tar.gz
Algorithm Hash digest
SHA256 ad31527687526702d869ed8015bd0c20dc5d6c871222c3bdb92c34773046fe0e
MD5 b235c9931ff776e3361ace6d296c3198
BLAKE2b-256 4d5f5ddcb69086e7985997712e8c3898321f78ab4add7b24d08f477d5ed17ea2

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.22.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 5.4 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-0.22.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 8ed5871a0114dfc23d48c9b36a2c67807933057e2b192a5e412c6d4451fb4669
MD5 7fee6f590b2c53df8a11743e8e064194
BLAKE2b-256 2aff03723fbd37fa8fb28385b6d255ae733414423d103e57df1b7a7fd1fe8974

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.22.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5d5aa45dedc79ed6db8b486985807ed8ea84b15d79587d0f567619510108552b
MD5 26d3a7db0f174320fd00c8d13249ebd6
BLAKE2b-256 f1d10089d2c715f2cf9e85a0e1525288add3504cd9e3c57c89e6191ea466a521

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.22.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 fa718a727a33adc7a4e9a74d72785edf69b0df3e8cb91ad9c07ff952411c1a19
MD5 04e3edbb30163cba8f6a21c48bf90cba
BLAKE2b-256 d83083ed8d616cc1c32aefa55f071500169102fe82f3c638d9b0f5900b148d77

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp311-cp311-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.22.0-cp311-cp311-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 c5ee344c8c6fb0bb13d123370ba010a23f46d874b05c17fed46ade2fbc775f69
MD5 d620337ab8d3a92965acad5230b58223
BLAKE2b-256 48a0e00158dd34e67d242a75805f304362cc126650d0ec8d2b95b577d2c5f108

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.22.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 5.4 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-0.22.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 5b89846c6a006fc2d2fc2611f98b71180de9cf3925ed06d0275146a1ad7804c6
MD5 2e1b974a8e598932a5277216f66b43ed
BLAKE2b-256 a58dd02fefc01a983bfeea5fba968d61437d25d267fe4cb0a5311fbde617276e

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8ad073847be0006bb410a9f4b61a304816e236cb034e212387d4fa450bbd78b0
MD5 94b0c0acda83d5f94f4a02cc8d0540d3
BLAKE2b-256 5618328644a7cd1c56c3460f69b7782b15ca0e1e9e75a91185d376c940009b62

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.22.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 551261d8fdb0dea2a34f22cde7d204229ad71d22cff4388c1d8cd3f404191e86
MD5 21a8acb4822379da07a47671e6124951
BLAKE2b-256 baeb5b26bcd96b791e5bd1450ad0ddd81a462bc65139f9582ed366e62495b774

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.22.0-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 6e0cbebbb760bf87b8e614f516bdb97185aa4d2dde6c03aa2c2e05cd717f33f3
MD5 ab90eee689e3a2586277301bd6500821
BLAKE2b-256 c2cb50cee014ad25bb4e154bb71bdf55f9398811c45ff251ffb778e8b5dc2fae

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.22.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 5.4 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-0.22.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 3937997a5ac4aed501cdd67572944baf9230188ec060273c86c8a97273be7a5d
MD5 ad62c6b2ad00cc606c84c8853856282b
BLAKE2b-256 f1fd7b1273fc1a4d2107a3bfbda5deb613f0ac06823c8574d57012ed7d7ea205

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.22.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 adad05431dd952cdd9b6462c23442a213d14afe1879e5def3152005d038af2bf
MD5 62fc2fbe28b7b48cb315788ae151301b
BLAKE2b-256 370701457d590255d3a006d74e9394befb2fb8b7e877ddfc28e29421743dcb5e

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.22.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 501278515d4f6e4b0b3a21e5a1fdd88c3145b0b6bf67152300e17f124b4c0750
MD5 25dc8a22ba2b1a4773710ff5ec48a3e8
BLAKE2b-256 ae37b75b41fa59728be27a3a8f2ed941b75948d7d5913a8e400c7d4837e6bd17

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.22.0-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 0a67ef8a59b045b36d904cd774a12e42b9b353c24fd96c99694c130fbb8cb6d9
MD5 ad9186706c8bbd4bdcac8d57b86e6e1f
BLAKE2b-256 fd65cfbb594622e029aa8f338699743c0d048f24b325043b867c4cfc52c0d1fd

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.22.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 5.4 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-0.22.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 54761fef7ad62d2e6b7dbe08b2bb3cfe9bd07466bcbd80275af9e1a0ea7acb36
MD5 cbbee88564966fc9e5e0e7e2b4154238
BLAKE2b-256 4d474c38acc16090b3341c991f1904b155327602da71c3bc1c98a5d94c1433cc

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.22.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bdb2da796d41bb16757ff2a10622eb196999f0d488fbd4af6a764271e9e2e231
MD5 1d80030fb2b02402c3b410fb4a0df6f8
BLAKE2b-256 e0dafc2356801cd4868eb0c6952fce28805891391dac1f837f1b5e0553b7ff3a

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.22.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c2d7d187dfafa93a030d9cf837c09c795b5e61f405c75e0debd959095431d3ae
MD5 d7493b9fc4f13f2126be1bd5f5fc1afb
BLAKE2b-256 3991cb36b2600cef43959a739a957d3915373adb076f6e7cb4329e2d81befc78

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.22.0-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 8a21256ff11b72ce555d5121af7350b596caff8e257a63bb952f2d508c7b6cd7
MD5 9d7d245ce301b47ff8567a9120972f31
BLAKE2b-256 bcb9b24d75c1746725f61fc19f9950599dff5afefac1c9f1696ae60a6ed92240

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.22.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 5.4 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-0.22.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 d8dea17b39cf86dd485bc79e7649f3d7fe5ab2890fcc92460fc21baaf7d0a33c
MD5 0291b666ba4f77ad15217ae8fa0f2cd1
BLAKE2b-256 6f5dc50f0061a57af7614bc4802bcd4f724bca0a73af09108f9222a5a6287eda

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.22.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 917c1bc59c2fd5ef43ba513db88e3cef216469f53aafbeeb74014ec23ce9108b
MD5 83f24275fcd76085271c49d58ec47f10
BLAKE2b-256 d63ec88e7278de7d69b9add804090192383d6cdd068930bc3d473dafd127f858

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.22.0-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.22.0-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 7c8884ea9d3955f530a9368d1a43d809ae3065ffeab3ee716b33ed3f78f2e0b9
MD5 522b6c53e7ca8d8053f39309208d21ba
BLAKE2b-256 4dfa2d096a6f16ff7230fc8ef1caa203a116b1f47ea8535da043986ff6112a9a

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