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

0.22.0

0.21.6

0.21.5

0.21.4

0.21.3

0.21.2

0.21.1

0.20.0

This version

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-0.19.1.tar.gz (303.0 kB view details)

Uploaded Source

Built Distributions

tiledb-0.19.1-cp311-cp311-win_amd64.whl (4.9 MB view details)

Uploaded CPython 3.11 Windows x86-64

tiledb-0.19.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (21.0 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tiledb-0.19.1-cp311-cp311-macosx_10_15_x86_64.whl (10.6 MB view details)

Uploaded CPython 3.11 macOS 10.15+ x86-64

tiledb-0.19.1-cp310-cp310-win_amd64.whl (4.9 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb-0.19.1-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-0.19.1-cp310-cp310-macosx_10_15_x86_64.whl (10.6 MB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

tiledb-0.19.1-cp39-cp39-win_amd64.whl (4.9 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb-0.19.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tiledb-0.19.1-cp39-cp39-macosx_10_15_x86_64.whl (10.6 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

tiledb-0.19.1-cp38-cp38-win_amd64.whl (4.9 MB view details)

Uploaded CPython 3.8 Windows x86-64

tiledb-0.19.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

tiledb-0.19.1-cp38-cp38-macosx_10_15_x86_64.whl (10.6 MB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

tiledb-0.19.1-cp37-cp37m-win_amd64.whl (4.9 MB view details)

Uploaded CPython 3.7m Windows x86-64

tiledb-0.19.1-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-0.19.1-cp37-cp37m-macosx_10_15_x86_64.whl (10.6 MB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

File details

Details for the file tiledb-0.19.1.tar.gz.

File metadata

  • Download URL: tiledb-0.19.1.tar.gz
  • Upload date:
  • Size: 303.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for tiledb-0.19.1.tar.gz
Algorithm Hash digest
SHA256 e37a27495f64f5d2b3a6b96d39df3aec8d16931002ef5f7381e96ac99464fab2
MD5 692d71d06b313fe1f2aa3401d8f1bff7
BLAKE2b-256 38dfb2b5ed587a25c70687790a023376e7c167e64986bb4fc2e49fee26785382

See more details on using hashes here.

File details

Details for the file tiledb-0.19.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.19.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 4.9 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for tiledb-0.19.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 986188ac98bc2210badbceea318b15f34b1eeee75ef78c5d173357bf149c1eb6
MD5 72e54408138d9aa8c2d3c3a6c083975a
BLAKE2b-256 9503f3588d521a759b07f725cd0601dc20a867c4790da1baaea7f9a6e69c5366

See more details on using hashes here.

File details

Details for the file tiledb-0.19.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.19.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2db6be5addd27df1202a59bdc6f752cd45555950ebdf976b9fdc7c44608be368
MD5 7d112b213524daf949ad9adf93291c08
BLAKE2b-256 73aa21a97c5728f9041c60daf43f70203bd5c7471b1747cac6fec651987b842a

See more details on using hashes here.

File details

Details for the file tiledb-0.19.1-cp311-cp311-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.19.1-cp311-cp311-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 58ef7878ce07d36832b2d01bd694503cd743307bce8939e8467a2ee9f46e4fbb
MD5 efbf19df6241a2c60aaf4562b1e4d2cb
BLAKE2b-256 3b46bb883d23e76615f9b444d3b171dab95efb5987fc81958f24c744fe3eba29

See more details on using hashes here.

File details

Details for the file tiledb-0.19.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.19.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 4.9 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for tiledb-0.19.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 6e3c656739c7270595432589c7e211fb6adf5f30151e4cfdbad57e2c02662d31
MD5 ffac221ce64717a1a4adc7d406b46b10
BLAKE2b-256 c132ef1179ab5265fbe1d25626cf5b4d6eccb5f59dc2a03b7504b0a034ac494e

See more details on using hashes here.

File details

Details for the file tiledb-0.19.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.19.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 af098ac8974f6378ca29be66400329a7624a147312d6f0cb0dd37a666fade1a9
MD5 3dfc9595338f7b488c388edecde50abc
BLAKE2b-256 6ba7de81b395e6087253a21752adbc606735f89167c81e283b8fdf33c5744ceb

See more details on using hashes here.

File details

Details for the file tiledb-0.19.1-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.19.1-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 d2517032c76d4fd1b993b96c826cef6373aa642ecfb0973bde156f7b0cb38723
MD5 0add74238b52924dc7ee8ed7b13061c8
BLAKE2b-256 ec566dcd0629b7bd27033197c1f640930e7f722103961fdf092d9ecf8d8c3cbd

See more details on using hashes here.

File details

Details for the file tiledb-0.19.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.19.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 4.9 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for tiledb-0.19.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 61cc45e8b0749b8a9c0db2d70a09bb7ee7d0eb6a55a4b0ef063c6ffff0b50793
MD5 405f5bbacc8129c647fb8cbc51f39fe6
BLAKE2b-256 b0cbd33fa00118e754f931a4c0668e68f77f95e7cc4f24b9c550ad04f0b0fac6

See more details on using hashes here.

File details

Details for the file tiledb-0.19.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.19.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 425d2fa91eb0c9dc33398bac7c25087e3875fdb6d1154625efcfe28dbfe1befe
MD5 f7c418ca0a34f421cd4ed009a00cef25
BLAKE2b-256 7335de55dfde9e70040fb41c36b48548d59d4bf37ba8c8193d42c80a598ff62b

See more details on using hashes here.

File details

Details for the file tiledb-0.19.1-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.19.1-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 9a121c1f5e4243e9c6789036cae4ea9d59b2c776ff4511f489828b1882be9365
MD5 62b21093be0a792b3ea08c06e1fb04f0
BLAKE2b-256 34327b133485f40d9af1214f175b24a90161897d75656cd4e1618164505c2731

See more details on using hashes here.

File details

Details for the file tiledb-0.19.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.19.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 4.9 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for tiledb-0.19.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 a3c53f5d172966e28aa6060999e4e53083e1eb4bd8a992a1884baec0046b2ff3
MD5 8f1de85cd1972f2722aae6bfa1546e3d
BLAKE2b-256 dbc1e3d3dff25eb441d49ba664fa6a1651270708e98a5f8cc35edecc13985285

See more details on using hashes here.

File details

Details for the file tiledb-0.19.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.19.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 35205a2119bc63327b82ed5407a7dc3989360d148dc6dd52631c888feb99af65
MD5 166b1fd7407d640a1819a877b5e6cb58
BLAKE2b-256 7c8f2a868ab0619f3b0851a8327c8933b7a24f26e06389cda09e07c97c87dada

See more details on using hashes here.

File details

Details for the file tiledb-0.19.1-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.19.1-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 8364f1af3a4e23e8dd6b31843800ac02ef969fc68f811b901e749c54260197f7
MD5 874be77664aca86adb83755ebefd27dd
BLAKE2b-256 212d11a864820a8056dd5f12273e5a93b31a479cc29e81b3dc425d83d7bd27d8

See more details on using hashes here.

File details

Details for the file tiledb-0.19.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.19.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 4.9 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for tiledb-0.19.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 3ff2b19b359d37fcb69d8d5420611a68fdf4e75c2d66e1799a19df5ca8853b12
MD5 1613cf15ffbd12439ebf68a75a932da9
BLAKE2b-256 8a35407c1b81eb7247b6ff98dc293c93586b4f191872000a191b2e854e9a0c96

See more details on using hashes here.

File details

Details for the file tiledb-0.19.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.19.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 45010bc47321b1ce984030dbec4c69be449391f765e4967b556849690ed6be70
MD5 8755e8f90de0b8a29df15fcc544ca75e
BLAKE2b-256 919363f541dbed792e8003819f86dc3a1bfeacc6022509a4e2b739d6e45c9779

See more details on using hashes here.

File details

Details for the file tiledb-0.19.1-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.19.1-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 c9f76cb3a8b161dd83ddaa8fc7cea772ff56594068439216240a8732049ad951
MD5 20db8011e8b66b9de09b5fa9e2e84454
BLAKE2b-256 512d5508a2fc3aedc65f81c60cd37bff7ea9f1a4d6d67c08f36a5dc8aa177023

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