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

This version

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-0.17.1.tar.gz (293.2 kB view details)

Uploaded Source

Built Distributions

tiledb-0.17.1-cp310-cp310-win_amd64.whl (4.4 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb-0.17.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (19.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tiledb-0.17.1-cp310-cp310-macosx_10_15_x86_64.whl (9.7 MB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

tiledb-0.17.1-cp39-cp39-win_amd64.whl (4.5 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb-0.17.1-cp39-cp39-manylinux2010_x86_64.whl (18.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

tiledb-0.17.1-cp39-cp39-macosx_10_15_x86_64.whl (9.5 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

tiledb-0.17.1-cp38-cp38-win_amd64.whl (4.5 MB view details)

Uploaded CPython 3.8 Windows x86-64

tiledb-0.17.1-cp38-cp38-manylinux2010_x86_64.whl (19.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

tiledb-0.17.1-cp38-cp38-macosx_10_15_x86_64.whl (9.5 MB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

tiledb-0.17.1-cp37-cp37m-win_amd64.whl (4.4 MB view details)

Uploaded CPython 3.7m Windows x86-64

tiledb-0.17.1-cp37-cp37m-manylinux2010_x86_64.whl (18.4 MB view details)

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

tiledb-0.17.1-cp37-cp37m-macosx_10_15_x86_64.whl (9.5 MB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

tiledb-0.17.1-cp36-cp36m-manylinux2010_x86_64.whl (18.4 MB view details)

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

tiledb-0.17.1-cp36-cp36m-macosx_10_15_x86_64.whl (9.4 MB view details)

Uploaded CPython 3.6m macOS 10.15+ x86-64

File details

Details for the file tiledb-0.17.1.tar.gz.

File metadata

  • Download URL: tiledb-0.17.1.tar.gz
  • Upload date:
  • Size: 293.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for tiledb-0.17.1.tar.gz
Algorithm Hash digest
SHA256 b6749c5785a5e4a407356633ecaf447d2dcae46f0320a693a280d525dbd61fdd
MD5 68e02f6420b3fe5089c539f9e72ec683
BLAKE2b-256 bfb4fc35e65114070b96c9e5864289f4f12af08d7cf8c62b6bc650a247ea111f

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.17.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.17.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 4.4 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for tiledb-0.17.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 1ecb7bf43e3ced5cf55d58475d3abf79b5a508b3f48d6293e2f1b46ac14052b7
MD5 dbe14d2705e687a086a5c199a5c0baba
BLAKE2b-256 0b1e837dfcc1c9e9a06db45522452e654587868a3b9ca843dd1c4154abfaa526

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.17.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.17.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a82ab9b77604cf2a596829b559f0c5a59cd204848b24585575a8840d3e3e86d6
MD5 72bc3c617a4642caeea59c1ce853c88b
BLAKE2b-256 079a0361938eab44c3e0f0b9f99d039d5b68538751519996f874b8b594707664

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.17.1-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.17.1-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 869980a021554a981dc9e4ccb0210f373f3134a72b8e20fc1c039c84279be6f4
MD5 e2e57b4df4af2af01809c8295e7418a4
BLAKE2b-256 6959990e1ce75b57affbe3455b022c46bd35c27b44ecadf9d85eaec15fa51bab

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.17.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.17.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 4.5 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for tiledb-0.17.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 8835fa19e3b7c3fc0914573e0d50bd7f756740fe2bd1de730ed0bee2853df6f3
MD5 a9a1c3449cba2e753d8d9d15a5e83ba6
BLAKE2b-256 d086f6d5b8292a6f1cc09cac821ff58fba25358600c236c3b64148a81aca02e3

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.17.1-cp39-cp39-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.17.1-cp39-cp39-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 4991ac2d65ad6f943c93c7f1f830531c04cbda2ca682c931b993ddb94d7ecace
MD5 62eb5f49c3996267e25adc4ede11d031
BLAKE2b-256 8c1d9277b3344a394dd2ddb7c8e8e53b22cf043245bff2996b33e609918338a7

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.17.1-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.17.1-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 8c1950754c5195ae1695832a8eb1e47b123e319b5e1379f9a50ea24ce96fc0be
MD5 26934b69d07be419ab030dc0c9f75723
BLAKE2b-256 dab0db75f4dd2bdbd52331082b17c6a2a18e12ae6c9d127cc8f711b4bb1fc6aa

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.17.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.17.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 4.5 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for tiledb-0.17.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 723be0c54d380fe7b799f274cdca69987d8d2cdfd214542f9b71f995ec7d5606
MD5 590f2508f48d28c9893e171cc448f559
BLAKE2b-256 40360036ecb5773e1b6bb6dfda591fb2985183779d79d0875f1d60bc9dbc0d02

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.17.1-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.17.1-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 42bd82bc953093ef979a9817dc750fc23f31d975df7341953284caebd5d5c462
MD5 e98754ff3a45fd7247658e2713f07202
BLAKE2b-256 f31fc4b01422146d866b6660592e5087961cae509eb1b4f0cd5e52ffea84adb8

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.17.1-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.17.1-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 21b5d1368b3dee2cb4d6ab596fc54b1a21e60750f502d2a677f74f8ef32586e7
MD5 be80cefca2bfc165a99247bc1ecfe819
BLAKE2b-256 e0267c972a39bda6d50d473978d6389ca0d7319f17f9f03943f2190411d0aebe

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.17.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.17.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 4.4 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for tiledb-0.17.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 fe6077b18fa5b6040e5425d40422144bad1ab0df7e3c42a77b8b015fde482d65
MD5 37038439a44fdc562eb859a03377b4a3
BLAKE2b-256 a8780b5fa7bde87f073dc8a1d6936d81917c026d2be0d2f8ad8f9d9ce60bb479

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.17.1-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.17.1-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f560583ef188b0bad3810a6403c009e3ff233f66621baa3abe8e998188c0cf16
MD5 858486964ce9fb9a7e22e0b95268d28d
BLAKE2b-256 4409f1e14dbcdfa9b36e56f3eccf98035a8823ad3ebd1490fa7a6e8f68bcad45

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.17.1-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.17.1-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 562b151ce1ccce461acecbac375cba31726c09df4385fafda1c2bef1d54b26be
MD5 7a2eab5cdc313355384c81007063dc34
BLAKE2b-256 d50811ec9dd43a3537a4a8abb04561ec5982e3b2a3ce2413fcaecb046f376518

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.17.1-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.17.1-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 6d9ff73061e5409decafebbf2bda3f99569bb465e1568dd767f767128b6a704b
MD5 f3086420c499147e0cb475729ff67696
BLAKE2b-256 802dfc163026ef6b509a1169420ede486ccabc7e175b9206f97b1f4117314d01

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.17.1-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.17.1-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 cbe174df39a2ef9281c02fcb3fb22966328dfd50d10b4beb3351b407e374b472
MD5 dc17d383dacb3dfacf610284410a66e1
BLAKE2b-256 9758ced9ba06e03efaaa5500a734c563794022f6d375891a5cdfea045c7ae123

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