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.

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

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

This version

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-0.8.11.tar.gz (212.4 kB view details)

Uploaded Source

Built Distributions

tiledb-0.8.11-cp39-cp39-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb-0.8.11-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (13.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

tiledb-0.8.11-cp39-cp39-macosx_10_13_x86_64.whl (6.2 MB view details)

Uploaded CPython 3.9 macOS 10.13+ x86-64

tiledb-0.8.11-cp38-cp38-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.8 Windows x86-64

tiledb-0.8.11-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (13.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

tiledb-0.8.11-cp38-cp38-macosx_10_13_x86_64.whl (6.2 MB view details)

Uploaded CPython 3.8 macOS 10.13+ x86-64

tiledb-0.8.11-cp37-cp37m-win_amd64.whl (2.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

tiledb-0.8.11-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (13.2 MB view details)

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

tiledb-0.8.11-cp37-cp37m-macosx_10_13_x86_64.whl (6.2 MB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

tiledb-0.8.11-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (13.3 MB view details)

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

tiledb-0.8.11-cp36-cp36m-macosx_10_13_x86_64.whl (6.2 MB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

File details

Details for the file tiledb-0.8.11.tar.gz.

File metadata

  • Download URL: tiledb-0.8.11.tar.gz
  • Upload date:
  • Size: 212.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.24.0 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.1

File hashes

Hashes for tiledb-0.8.11.tar.gz
Algorithm Hash digest
SHA256 66a182ab76d129b6c346e435a45cf365ee47acda85683221041dd235818ec427
MD5 8191d9295aa005ea7ed8e63792f28b6d
BLAKE2b-256 f89d6c53f239b39e63c88d5536dd77fba83796be6d464a4f6648ac2228e7d8b4

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.8.11-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.8.11-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.24.0 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.1

File hashes

Hashes for tiledb-0.8.11-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 67f47b96b5dfbe5eaf82d9bc7081bc920d63e0e9afc9626c4f267b9a2fbadc2f
MD5 914e201bc78608d8064488697ae03158
BLAKE2b-256 b9e428904da1ad12883bba322ab5a67d24d28dbc28d1d0415241afff7b24f8d4

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.8.11-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.8.11-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c64ad329f9aaab61b9caf433b3a2792af1c8d83e54bfdadb2d9ae5ea09e757fc
MD5 3dbe58f8262356aa68e8a90a7e95e46c
BLAKE2b-256 6347893775f4a722a2726dc3a1308389c9d418cea30b275236d172f73121ef1e

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.8.11-cp39-cp39-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tiledb-0.8.11-cp39-cp39-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 6.2 MB
  • Tags: CPython 3.9, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.24.0 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.1

File hashes

Hashes for tiledb-0.8.11-cp39-cp39-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 79bf9aec6c34baaccde98ba2cce08bafc4f8cbc6c365d658bea028a0493b651b
MD5 d6d775444365a7abeccdfa64424b57a1
BLAKE2b-256 0cd727bbad8973652d1dd5862ab4802821ce4e6d700c254df67047a2e5bba674

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.8.11-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.8.11-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.24.0 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.1

File hashes

Hashes for tiledb-0.8.11-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 771286ba6c78605312861e8cc2300e201c94d54320e01945a6505478dbbbbe1a
MD5 5fc8416761908dd2206b8806ff9bf598
BLAKE2b-256 7e17f2a262cfdfe060ed92fc1aecb9c39c95a92d8bb531e5f3ea8c17c151d0f4

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.8.11-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.8.11-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 4b58bf7aa089a6859d165fd1f946ddf69e077dd5ac5c11e4ad8f4397eef82cbc
MD5 b38e6829f5ff653d16959a3b05bbf5f0
BLAKE2b-256 a61bdd04c0491f94dec8f0afb5cd6d6cc04f7c1df0205d1360f57471d2f83499

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.8.11-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tiledb-0.8.11-cp38-cp38-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 6.2 MB
  • Tags: CPython 3.8, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.24.0 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.1

File hashes

Hashes for tiledb-0.8.11-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e309daa961eda936a0260fa77e224389a690b857761c201aa1882973302b6fcb
MD5 723fd1e73d043dedcfe8ab8e6f1b0b20
BLAKE2b-256 6d337b0872ee8a3a270ab16ceaf68369c34ec9d5b365cbd9435ece26a911d974

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.8.11-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.8.11-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.24.0 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.1

File hashes

Hashes for tiledb-0.8.11-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 b1b5ce3d187ce35c8b014a6e93b711c36d3a5d51f6cb133640b191618fd60123
MD5 c1ebab844d3ba2fb1a5c6d2cb68a8c01
BLAKE2b-256 c07cf676b0ec13c0dcc695d7449ad57c9c7bafbd7eb496fae65e2f151bcd62a1

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.8.11-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.8.11-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 2763a9aaab48b6c32333024f2edec038365770d9add3a1fa97d2975aeb7b576e
MD5 abfe2c6c62be5541662a055863276d05
BLAKE2b-256 f3ef72be8b84779cf6adc280750b1d91e85884bdd28d0711a8e718e25c477ca8

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.8.11-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tiledb-0.8.11-cp37-cp37m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 6.2 MB
  • Tags: CPython 3.7m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.24.0 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.1

File hashes

Hashes for tiledb-0.8.11-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 26915a0da8eaefef7620f070831a3109bd73a3baef8c3f28999c4a93c731d374
MD5 77b71c2d19dbcf3a6822599552bbc4f3
BLAKE2b-256 4331b8e2a79c593451f97b4864ec759781082dd862887b825a5da1636550a738

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.8.11-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.8.11-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 fe93033458c57fb1c27681da98163483b1c6580c389dd228bc4dc27377fc71a7
MD5 7ec7324c52a77f451633815b307e7444
BLAKE2b-256 9b76a298bce6d6801b4814551b9d71da2348f8518962ac31f49e04ff451707ef

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.8.11-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

  • Download URL: tiledb-0.8.11-cp36-cp36m-macosx_10_13_x86_64.whl
  • Upload date:
  • Size: 6.2 MB
  • Tags: CPython 3.6m, macOS 10.13+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.24.0 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.1

File hashes

Hashes for tiledb-0.8.11-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 dc351368a43d91e4602df809566c8621341dac8353b3d2b2f0f26fc1b2155f40
MD5 49818e0e948332441f48099064c11336
BLAKE2b-256 98babfb0c0d202417ca0963f2da4ee088a6e608d736805bd01304df7be9d1e60

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