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

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

This version

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-0.14.5.tar.gz (278.2 kB view details)

Uploaded Source

Built Distributions

tiledb-0.14.5-cp310-cp310-win_amd64.whl (3.8 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb-0.14.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tiledb-0.14.5-cp310-cp310-macosx_10_15_x86_64.whl (8.8 MB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

tiledb-0.14.5-cp39-cp39-win_amd64.whl (3.8 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb-0.14.5-cp39-cp39-manylinux2010_x86_64.whl (17.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

tiledb-0.14.5-cp39-cp39-macosx_10_15_x86_64.whl (8.6 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

tiledb-0.14.5-cp38-cp38-win_amd64.whl (3.8 MB view details)

Uploaded CPython 3.8 Windows x86-64

tiledb-0.14.5-cp38-cp38-manylinux2010_x86_64.whl (17.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

tiledb-0.14.5-cp38-cp38-macosx_10_15_x86_64.whl (8.6 MB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

tiledb-0.14.5-cp37-cp37m-win_amd64.whl (3.7 MB view details)

Uploaded CPython 3.7m Windows x86-64

tiledb-0.14.5-cp37-cp37m-manylinux2010_x86_64.whl (17.2 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

tiledb-0.14.5-cp37-cp37m-macosx_10_15_x86_64.whl (8.6 MB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

tiledb-0.14.5-cp36-cp36m-manylinux2010_x86_64.whl (17.2 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

tiledb-0.14.5-cp36-cp36m-macosx_10_15_x86_64.whl (8.6 MB view details)

Uploaded CPython 3.6m macOS 10.15+ x86-64

File details

Details for the file tiledb-0.14.5.tar.gz.

File metadata

  • Download URL: tiledb-0.14.5.tar.gz
  • Upload date:
  • Size: 278.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for tiledb-0.14.5.tar.gz
Algorithm Hash digest
SHA256 3c1b56e98fc2f69f7551ff36cdf011abbf71363e686dd81179ec89ad803fc1f4
MD5 bd5e862c2e22e2236610ee8e0c0c0032
BLAKE2b-256 7b3fa2d45eb1a8e8e264dcf4cf804aee0f7c3739da43e0fc7794c8fde6855f8c

See more details on using hashes here.

File details

Details for the file tiledb-0.14.5-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.14.5-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 3.8 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for tiledb-0.14.5-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 9f3c717a57d983a7e82428fc0e435e0ad2e5339982252025629158663bb7343b
MD5 75bed475b05ef5d83c97c73c6737fd84
BLAKE2b-256 c0b9937b67e6afec7acb75586541711d905b16ae3736f45d34b3509a93184056

See more details on using hashes here.

File details

Details for the file tiledb-0.14.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.14.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dd63015229e39ff28159214fad8a82af37048e854c49b65d2cfa09f3f5b5e069
MD5 2142c5d7a1937f7b27702284ba770344
BLAKE2b-256 7420a3a63cbafa6a0bd659730b1927c983c81e0abc02f60b66e95f27528c00bd

See more details on using hashes here.

File details

Details for the file tiledb-0.14.5-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.14.5-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 7fa975974b035b6eca7e3b1fd846922c9102bb10d0aa37b07b146ffc2fafb9b4
MD5 d27ff2ae7996620ea429c8d73cd68c9e
BLAKE2b-256 ccbbb8a515ebe3185896076671f71ecd0ef1d775db80298757ec432b9d82d7d1

See more details on using hashes here.

File details

Details for the file tiledb-0.14.5-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.14.5-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 3.8 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for tiledb-0.14.5-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 de1cd5fa778e76632170b01b35934c25ffc7a7afe9b198d27a16deff68396d47
MD5 e3986410077a704dca6edea86a18c15c
BLAKE2b-256 27ca2abfdab04eb2726b9462c7cdbf18c31ec66a02c0ee293e0943103dab22fb

See more details on using hashes here.

File details

Details for the file tiledb-0.14.5-cp39-cp39-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.14.5-cp39-cp39-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 cba13ac46ba367b079d18dded4517480a2b5042eeed1c0d067b1a046c706153e
MD5 a5fb47f2cd8b9911d5603e93c0262202
BLAKE2b-256 a22bf7145a3abce81556cfe80ed903d6b3f2b66d63214d918563c6f90b0da02a

See more details on using hashes here.

File details

Details for the file tiledb-0.14.5-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.14.5-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 d280c20a9d24ecc7f9591c5c4134f4ed50e6240bb836c3da539164578609f9cd
MD5 4f8fb723946a9351ce81151592903627
BLAKE2b-256 d5c75070d402c031f29387ccc58ee4c3e512fafdd222ca379660315745612398

See more details on using hashes here.

File details

Details for the file tiledb-0.14.5-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.14.5-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 3.8 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for tiledb-0.14.5-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 ccd7f201f2939216c0d1f448574e2d7c998cb9dc2a1204a71fe832b53bacf0a8
MD5 0eb85a39b91729280285e0abf66b022b
BLAKE2b-256 07f865d018c7d2ca181c11bd5426dc7558da0ecd769d27c3bc09b15d2294c218

See more details on using hashes here.

File details

Details for the file tiledb-0.14.5-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.14.5-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 422cc8bfa8d6d58102795c7dca953f4def0e64756488acd7eb782c0a070fe29c
MD5 57f7d7d04392ab918e1bff5bb5cd14a9
BLAKE2b-256 f5f3dd83827e94497680ff381b03e395dc49485959934b8e6cd184d4ffa21235

See more details on using hashes here.

File details

Details for the file tiledb-0.14.5-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.14.5-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 bfb3849d13ab5a7e9c072536fcc8e851b7267278b08e03a59a6fc1c6b37dfeed
MD5 4540ece8908ee47a4885e5c38fb81cfe
BLAKE2b-256 e5ed61dd0b24b6a4b08fe4e5b1c932767fbff614d55403172971c9023cb8236a

See more details on using hashes here.

File details

Details for the file tiledb-0.14.5-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.14.5-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 3.7 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for tiledb-0.14.5-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 9ce1335f89f9af1ad59a49aefe54389b6842271043f0c5917d760ff32ecdd489
MD5 0fd98734da6d37c5b7de7b5d212aa1ad
BLAKE2b-256 56a8744870657b99671e22d207b3fd603a9622b11cd941164880d2a1f29ad132

See more details on using hashes here.

File details

Details for the file tiledb-0.14.5-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.14.5-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d18bf313b7afa0037afc4e061c327883b3335766c8e0f5716c5c9be3c4e6fa9c
MD5 1fd2fbe18456bff17abca1f56dfcf847
BLAKE2b-256 3981393f030a07f622065d2b7f7d27fe7be6b5f52fd6761ee36e11b37732fbea

See more details on using hashes here.

File details

Details for the file tiledb-0.14.5-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.14.5-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 0c2a47761625ec2f8dead786b2685231b773135ddf7bc40ed81ac8547b62ef24
MD5 e9f5cfd489b4bffaeddcf33c8f90aec7
BLAKE2b-256 a2ab42cf82e2e4c2175b74bc955e8d37a0779385c76cada9803ea53472cdd84c

See more details on using hashes here.

File details

Details for the file tiledb-0.14.5-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.14.5-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 25df61384ac687a2435c968cef67475fab68dfb96a7399dd116751acc3d61f3f
MD5 d073787f417867bd3d78a0b869559130
BLAKE2b-256 88f19ae40df1e4dcb6a3d8ce5c8547b2d685ff97304998a564e7a5292cd5b7ad

See more details on using hashes here.

File details

Details for the file tiledb-0.14.5-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.14.5-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 e1424e5eeb536547363865aef69ebc8910a8a1ace7f4694977a9d837e0c7fbd0
MD5 17a1913783607d940b4fce1aec914606
BLAKE2b-256 623458e6e47782be02395a1ab9bd4f5a595635b42d52a15fd389ba88b2f07185

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