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

This version

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-0.18.2.tar.gz (303.2 kB view details)

Uploaded Source

Built Distributions

tiledb-0.18.2-cp310-cp310-win_amd64.whl (4.6 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb-0.18.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (19.4 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tiledb-0.18.2-cp310-cp310-macosx_10_15_x86_64.whl (10.0 MB view details)

Uploaded CPython 3.10 macOS 10.15+ x86-64

tiledb-0.18.2-cp39-cp39-win_amd64.whl (4.6 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb-0.18.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (19.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tiledb-0.18.2-cp39-cp39-macosx_10_15_x86_64.whl (10.0 MB view details)

Uploaded CPython 3.9 macOS 10.15+ x86-64

tiledb-0.18.2-cp38-cp38-win_amd64.whl (4.6 MB view details)

Uploaded CPython 3.8 Windows x86-64

tiledb-0.18.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (19.6 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

tiledb-0.18.2-cp38-cp38-macosx_10_15_x86_64.whl (10.0 MB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

tiledb-0.18.2-cp37-cp37m-win_amd64.whl (4.6 MB view details)

Uploaded CPython 3.7m Windows x86-64

tiledb-0.18.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (19.4 MB view details)

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

tiledb-0.18.2-cp37-cp37m-macosx_10_15_x86_64.whl (10.0 MB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

File details

Details for the file tiledb-0.18.2.tar.gz.

File metadata

  • Download URL: tiledb-0.18.2.tar.gz
  • Upload date:
  • Size: 303.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for tiledb-0.18.2.tar.gz
Algorithm Hash digest
SHA256 240d6e6343763f195395feaf22c04358d858ffc319ffa5304768e3f970c6a3d1
MD5 d30e6e16dc9d1f9aebe5ce51583c6bbd
BLAKE2b-256 3f7e8841bd27ae85912858d013c676c04ab34c06ce101fbf06c91ee5237fe350

See more details on using hashes here.

File details

Details for the file tiledb-0.18.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.18.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 4.6 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for tiledb-0.18.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 2325591a9d5d5fa2edee38b92050d30ccfb2693a6a94c6032e7d65697c5edad7
MD5 d882663d3ea977b351d160c4ff2ad5f4
BLAKE2b-256 737bc3aaf0887db20dd351eb60d47686635a0256fcfb49725bf1289c832fc4bf

See more details on using hashes here.

File details

Details for the file tiledb-0.18.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.18.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2311d4d425606e71ee190e34bc4e63317d8398e12aa79ebd1e03124881136ac0
MD5 2452b8cb752769935f7a5baef387a320
BLAKE2b-256 ee0b62a14226f3232b09b0bd65b8fc17212b5f166b119d79cebabf2d275c6ef1

See more details on using hashes here.

File details

Details for the file tiledb-0.18.2-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.18.2-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 490342c7d69fb9dc40d7f7074eba5187c24a14debccc5e2720772e9a7e3d3a4e
MD5 85a093fe6e8d97e70236b0f0e505545e
BLAKE2b-256 8903daaeb9bce95434832381190e96419017edce1ea3e08e608d911e8f9ebac8

See more details on using hashes here.

File details

Details for the file tiledb-0.18.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.18.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 4.6 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for tiledb-0.18.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 39e23e7dc52860a874299986aaca1d37866b05ab8356978ac9c8683fe07f2282
MD5 a0edca424ea2e7183791d67ff721e7a3
BLAKE2b-256 1fa669092010e8f91a87146c40c85777f5bce249b80508cb28a24851117641d5

See more details on using hashes here.

File details

Details for the file tiledb-0.18.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.18.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bb0de5831ff08d2f1342a15ea869c69a6f3831e770fa738ae5c508dd6bda1949
MD5 4f5aa610a189dfdd71163c07a036debf
BLAKE2b-256 f8b68ff111c82d41e07fdea47f413eed3c245808d2ac6ac0a66850657851285d

See more details on using hashes here.

File details

Details for the file tiledb-0.18.2-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.18.2-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 431c764d98cadecc6055cd20997d017165e8af939891f373af1fb14447a87046
MD5 24660affa475ea26711df0f2a093194b
BLAKE2b-256 afd35c3f67c30b648ef73595ae747dfce15dc68d5987e4a0714040dd956ab540

See more details on using hashes here.

File details

Details for the file tiledb-0.18.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.18.2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 4.6 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for tiledb-0.18.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 57d15ecd7396ebeceddf9566b2a7614167aa22085ba993681ef4293b22dc140e
MD5 759879702d30029c58d6b13996511576
BLAKE2b-256 1e3805e6aa31ad5443965db18eb79cddfce944838d4ee596723ffe3cb8701f64

See more details on using hashes here.

File details

Details for the file tiledb-0.18.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.18.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e3613ebde822b0cf96578a92a1d4458e2cd43968986723b9f8afa0a1c64c7a0a
MD5 3291a0723db34fa1ecb2671b2d67ee0c
BLAKE2b-256 c5ed658330d0394b1312a4dc3bfc64f869f9d15ef4656c18fa51adea7654b238

See more details on using hashes here.

File details

Details for the file tiledb-0.18.2-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.18.2-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 a53580a4135362a80702c30f2b6f88050cc01c1b5e700af1b120c38939dc8b4b
MD5 7f2de7ff5664ba7b6eaceb886d24e73e
BLAKE2b-256 9c0f9a9793e027c273990bd5dd0ffd2c8c855ca07c8457535104644263b711f6

See more details on using hashes here.

File details

Details for the file tiledb-0.18.2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.18.2-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 4.6 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for tiledb-0.18.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 c313544f8d3610a7800a8df1ecc3090841fac3ac1d5eaa0e925291f1d345897c
MD5 ac05258b10efff5b4e67c0a1ada07f83
BLAKE2b-256 1676c18acc51457e2fd8e3617345fefe69cf333e5ad7d2350e84c46dbe329bea

See more details on using hashes here.

File details

Details for the file tiledb-0.18.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.18.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cebfad7ae090eb402e71eb7370cc4a8cc544f3ddcd7b291d231c84b46bdd66f3
MD5 70338084b83775fc19504c6711e47fd5
BLAKE2b-256 614baf505f73493b1e4df915855304f20d88a4e9ee087174f6943b89939dc809

See more details on using hashes here.

File details

Details for the file tiledb-0.18.2-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.18.2-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 a6a7a0880b09f650e08a0bdbbadbd63634ab87b0971c6484bc202f46127c1b48
MD5 06e32b14c35910a634b3b913ecd90041
BLAKE2b-256 20aa6eecfa34619eee95e71e8a0d3207b06c822c81c5276d6341377ff44bd105

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