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

This version

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

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-0.25.0.tar.gz (330.0 kB view details)

Uploaded Source

Built Distributions

tiledb-0.25.0-cp311-cp311-win_amd64.whl (6.1 MB view details)

Uploaded CPython 3.11 Windows x86-64

tiledb-0.25.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tiledb-0.25.0-cp311-cp311-macosx_11_0_x86_64.whl (13.1 MB view details)

Uploaded CPython 3.11 macOS 11.0+ x86-64

tiledb-0.25.0-cp311-cp311-macosx_11_0_arm64.whl (10.4 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

tiledb-0.25.0-cp310-cp310-win_amd64.whl (6.1 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb-0.25.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tiledb-0.25.0-cp310-cp310-macosx_11_0_x86_64.whl (13.1 MB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

tiledb-0.25.0-cp310-cp310-macosx_11_0_arm64.whl (10.4 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

tiledb-0.25.0-cp39-cp39-win_amd64.whl (6.1 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb-0.25.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

tiledb-0.25.0-cp39-cp39-macosx_11_0_x86_64.whl (13.1 MB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

tiledb-0.25.0-cp39-cp39-macosx_11_0_arm64.whl (10.4 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

tiledb-0.25.0-cp38-cp38-win_amd64.whl (6.1 MB view details)

Uploaded CPython 3.8 Windows x86-64

tiledb-0.25.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

tiledb-0.25.0-cp38-cp38-macosx_11_0_x86_64.whl (13.1 MB view details)

Uploaded CPython 3.8 macOS 11.0+ x86-64

tiledb-0.25.0-cp38-cp38-macosx_11_0_arm64.whl (10.4 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

tiledb-0.25.0-cp37-cp37m-win_amd64.whl (6.1 MB view details)

Uploaded CPython 3.7m Windows x86-64

tiledb-0.25.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25.3 MB view details)

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

tiledb-0.25.0-cp37-cp37m-macosx_11_0_x86_64.whl (13.1 MB view details)

Uploaded CPython 3.7m macOS 11.0+ x86-64

File details

Details for the file tiledb-0.25.0.tar.gz.

File metadata

  • Download URL: tiledb-0.25.0.tar.gz
  • Upload date:
  • Size: 330.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for tiledb-0.25.0.tar.gz
Algorithm Hash digest
SHA256 70c2cac67cd5c4329df466a6127c1b1698cb80f54535fd33e0d0eb5723dc611e
MD5 16ce0c710426e462f45afa3fb02d5662
BLAKE2b-256 a479701be247fc205d8fa0e37a152d1eaace04c0a41c382b64f9b2e0a93e09a2

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.25.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for tiledb-0.25.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 f50f11470268c6f0020cb6651e219715cbd1b64c64fc50c57c057ce48024b720
MD5 bbd98ee712890d47619c02a7cde3d63a
BLAKE2b-256 05bdb4e47293af8a40f448e7c742e355cefe8a1285e22c2017c2ad1fc1b9cccd

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.25.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ccc8bf3b1018eef771e3b76a5b2280db68eb2ecf0ff33819968a6c01ff5256e1
MD5 96e854916945ff72b0b07bb331ea453e
BLAKE2b-256 905b2d9fb0038dba2b01ab13c0c450556874d05a3f08bdba1982976182e06b9f

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp311-cp311-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.25.0-cp311-cp311-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 7ccf86f26663fa5b7f1526e30fac6c62deec9c623f2b8efaeeead937435cd422
MD5 09f70c399be4b915f36b37c740227c23
BLAKE2b-256 0dec6fda1f048e02de7621762fbaf171b93dd62de8a06c72ed8cfd1a2ef9b527

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.25.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 54c1e3d4ecc8b1694d4112c12642c52c7f7f04745bd36a459306e8c28c55c210
MD5 9a426462ca0ae46959a2be9aebc0fe0b
BLAKE2b-256 5bee4a1200c7b5d9d24cc8012a95627de3082930314182d463c06f18f65a883f

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.25.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for tiledb-0.25.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 126af79af13f8fa149fea07c629ce26717397850dbdbf563e067695a98a6defd
MD5 4bcfccd4d2b35ac3449f7a85406db0a4
BLAKE2b-256 fc310b61bdade6a418ee7a3a274b9b8e96ed169045a08bfa1b9ccbcd64fd5d2e

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.25.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 deb21eacb4b845f29803931e69e5bc9ba004bbae8c773d5cf5363fa789b8ceb2
MD5 824d3351a67b11e8496dd5236f3f21f7
BLAKE2b-256 0f19f603d0bb207260e7558731ff29f93922c64ba8ef9f5bbae47c0724d5acc1

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.25.0-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 5af77b6484ca6051c79e6b70a94dbd0fe45e36fc26d2e74a56a6ce7aff5e6c46
MD5 448c1a24c76a74cce2d8fe9abdc51005
BLAKE2b-256 c9336ac9e500da2f91409a2c4e15f363495a2a124f82dd867be425fbe9f36437

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.25.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c77edd07a40243c200e24c6467b6b06e20333c6dc4a22b66399aafd48ce807ed
MD5 410c601e0549fe96071cbfa5ef521fed
BLAKE2b-256 7bb67d81dca457332f1f1aa6d7a3d5a7be3c8be87c0524b5318b653c83fc0c92

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.25.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for tiledb-0.25.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 320c419cf189cb99f6700c4c3cdb0839dadafd74e0002371d7d29b5c6d21bc1f
MD5 bf77497195a2948a4580e535cb594da6
BLAKE2b-256 d4d1d7f05ebb2286cb00879ff914fd117ae5ab3c2a69d3e5dad1c4ae422a532b

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.25.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d6fef2812637ce57f64e2b146cbf85be85b2b14bb1b0cdba4529e269ca07c513
MD5 76ff76a1d2f929b443f56a9af7dd4704
BLAKE2b-256 b77d202ddc8e4587d1749a37dd69baca69c62a69877e117796590618f16eeb03

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.25.0-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 2a163e3d05d49db020864e8b266295004426515a1dce1cd11fe8dd0d1ef8fbce
MD5 cbb2e208afaaa414a6700fd70f14a496
BLAKE2b-256 ed02435001fa66d8d137bb4d0d2109de552e854f5febdd251795e160ff83b9cf

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.25.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 24c7bd854fa104439a05cc181ce714c2c69426ef55055aec4595267056dcf737
MD5 99086377da2f35fdd04578195d472b57
BLAKE2b-256 548e150c9acbfe80b9e19ff7ba1aedeff1395861294bdb91a5905de1b6372339

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.25.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for tiledb-0.25.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 a2b79adc5cc0739edfe05ba36bf2374ff6af92f5e0682a7894d44b5bd345f6db
MD5 5199e9a6b0638af88df9731416e4b4ae
BLAKE2b-256 3aa606ce620da9c222dd91e80973e316226c77ddbd1b72ce09631e88b0605be1

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.25.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 94f9c66756163e8ece9d0ddf00aa133f7e671eceaebd839b0bd24332fc9ff50c
MD5 8b79bf55a1d8611cc0e79cfb6d9044cf
BLAKE2b-256 e7a2bba39973e5c0bafd66b488879f40f55ad3ecf0cefc2517bb0bb1622d526b

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.25.0-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 32b0705f8aaf50e772068170c1841674c8bc08764b38887a5fa2f270645a9a2a
MD5 edff24810f50ec460eed5e722f80fd3f
BLAKE2b-256 a8d178064fba8647657bda4462a41f615ed0c00ea4286153efee37112359cee2

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for tiledb-0.25.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 84674b410bfaa96f2ca9eb992621df5eab5da9734ded07cea9ecd2a25c0dd303
MD5 32ff65d3cfc3fb048e5cb11e82a81de8
BLAKE2b-256 2f07fd30fe245ab8d037d6f348648743546389898df1b59d4009855dfd951c28

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.25.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 6.1 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for tiledb-0.25.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ec2cba83b806541d5577daaa32f08cc14e91273191dcd6b9c50dba5846a56385
MD5 42ec71db1ad691f69115a715d9692312
BLAKE2b-256 44242679105acd03439144d824a3d73dd4a08629cbd402927c53c8a022324c93

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.25.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4f6ed736e15b88aa625a61a45a78278fc9e3d41bed1f3a7e388826256a6f37cb
MD5 879b75002722915999494214605e0309
BLAKE2b-256 f614de0956dbda749d727e09102dee7181677496804a69714db155d4e4b69d71

See more details on using hashes here.

Provenance

File details

Details for the file tiledb-0.25.0-cp37-cp37m-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.25.0-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 b0c88a3d499a2f982a95910191595401155a0335e5964eefd34c17c88d4e67f8
MD5 6ea856e6d36040cdbe291bb3d7e54ffd
BLAKE2b-256 007c19a27815dda79b9c75cf321180aca4e14a4bc4be3c57565c2b2415165322

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