Skip to main content

Pythonic interface to the TileDB array storage manager

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


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tiledb-0.13.3.tar.gz (262.1 kB view details)

Uploaded Source

Built Distributions

tiledb-0.13.3-cp310-cp310-win_amd64.whl (3.7 MB view details)

Uploaded CPython 3.10 Windows x86-64

tiledb-0.13.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tiledb-0.13.3-cp310-cp310-macosx_10_14_x86_64.whl (8.7 MB view details)

Uploaded CPython 3.10 macOS 10.14+ x86-64

tiledb-0.13.3-cp39-cp39-win_amd64.whl (3.7 MB view details)

Uploaded CPython 3.9 Windows x86-64

tiledb-0.13.3-cp39-cp39-manylinux2010_x86_64.whl (17.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.12+ x86-64

tiledb-0.13.3-cp39-cp39-macosx_10_14_x86_64.whl (8.4 MB view details)

Uploaded CPython 3.9 macOS 10.14+ x86-64

tiledb-0.13.3-cp38-cp38-win_amd64.whl (3.7 MB view details)

Uploaded CPython 3.8 Windows x86-64

tiledb-0.13.3-cp38-cp38-manylinux2010_x86_64.whl (17.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

tiledb-0.13.3-cp38-cp38-macosx_10_14_x86_64.whl (8.4 MB view details)

Uploaded CPython 3.8 macOS 10.14+ x86-64

tiledb-0.13.3-cp37-cp37m-win_amd64.whl (3.7 MB view details)

Uploaded CPython 3.7m Windows x86-64

tiledb-0.13.3-cp37-cp37m-manylinux2010_x86_64.whl (17.0 MB view details)

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

tiledb-0.13.3-cp37-cp37m-macosx_10_14_x86_64.whl (8.4 MB view details)

Uploaded CPython 3.7m macOS 10.14+ x86-64

tiledb-0.13.3-cp36-cp36m-manylinux2010_x86_64.whl (17.0 MB view details)

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

tiledb-0.13.3-cp36-cp36m-macosx_10_14_x86_64.whl (8.4 MB view details)

Uploaded CPython 3.6m macOS 10.14+ x86-64

File details

Details for the file tiledb-0.13.3.tar.gz.

File metadata

  • Download URL: tiledb-0.13.3.tar.gz
  • Upload date:
  • Size: 262.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for tiledb-0.13.3.tar.gz
Algorithm Hash digest
SHA256 109f629b21f137007abb829458386421678fb66072c616a5f950fb26a1198cf9
MD5 5bbc4cca4141e2e351c1eb3d35e24c3c
BLAKE2b-256 7d86611d9c0f805e9687964a584ac0da173b6982948f633f955d6da8b86c2a82

See more details on using hashes here.

File details

Details for the file tiledb-0.13.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.13.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 3.7 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-0.13.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 9c2512b6abf5a0b4786062a8f6ec5ab74656e62e934349bc57ec6ea4bb4dc449
MD5 29263bc4cb89c7c3be6a4f7bbe1fe1c3
BLAKE2b-256 9648cfac574d4a74298dc1d8593a6767af389c6729a4d6e0d2c64071d01ec4c2

See more details on using hashes here.

File details

Details for the file tiledb-0.13.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.13.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 330fd2a35689c825ed671f93a467cdf0e719ff43172b27de906072095908b0ce
MD5 113c12530d07d1751a8a069f3cd9442a
BLAKE2b-256 753b5eb1edbd645de19abb42e978727243bed69cbd12fb1852512ab93e45ae8c

See more details on using hashes here.

File details

Details for the file tiledb-0.13.3-cp310-cp310-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.13.3-cp310-cp310-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 94718c5bfdf6e0e4af356e1270775c7d2f2cada41d37f98d133d48b53f071c61
MD5 075f4bd4dedd1fbd92b3d23621196c97
BLAKE2b-256 9bc68cb1f5f5713e6d7d08449712b5299c98a2e85a6df9c2bb44972ae50358cd

See more details on using hashes here.

File details

Details for the file tiledb-0.13.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.13.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 3.7 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-0.13.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 71d506b3c02b7899aa246b3357b123e679c4c287af9ed18704fea22d0fa18c05
MD5 c4df4a71facd61c953d43bd292cb56cd
BLAKE2b-256 4c78d2b5f31434a5939ad37a6a4a58bdcd08d81e796258bc0935ef8e294455e8

See more details on using hashes here.

File details

Details for the file tiledb-0.13.3-cp39-cp39-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.13.3-cp39-cp39-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 4f54f738bfad512c5d273ebfc85766eaf761bf124dcbad63b9f1828793995ab3
MD5 f05244306af2db763e74c54713b13aed
BLAKE2b-256 77b9ed853ca7c13c2cc9b14ed2a1d31c571dea15e0244a4de4fec8540144425e

See more details on using hashes here.

File details

Details for the file tiledb-0.13.3-cp39-cp39-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.13.3-cp39-cp39-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 f81066c3209a2ebea76fe0a6b87036d91135263594eed0e81d3fd9ae359f4fc0
MD5 fac3ebe98fea43eb38f7a9595e3eca02
BLAKE2b-256 7de30d376ff60256c69e1dd3a2898ac09a4871448480ac9c65e69a5c7e16a3dd

See more details on using hashes here.

File details

Details for the file tiledb-0.13.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.13.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 3.7 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-0.13.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 ba4aaa06d6b63b9530a0547aaa651603b7bae3668103538d9188b0fcff938d42
MD5 4df856d0cb6f61781389f8f765590f9a
BLAKE2b-256 d7ab57eb31c7bd99c4faf18fb277b2bcee0cf283b3a6d1c7ca2fb20ba800aea5

See more details on using hashes here.

File details

Details for the file tiledb-0.13.3-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.13.3-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 13641e1a269dc1bd0379266e119806cc299688baebbdcd75d31a543b061d7757
MD5 d053e9787e1e58f46b33b9530d93fa52
BLAKE2b-256 5da7541a7428618dcfd19bd50c74ac95e03e3d61bf00cff5c3af9216f71f62c6

See more details on using hashes here.

File details

Details for the file tiledb-0.13.3-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.13.3-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 4211e9123c86f5eea1d25b8328643b47b9f7edbcf9a5978152f39b8997b5ec60
MD5 6ad0c13630b2ac8d23e91b646e9e706f
BLAKE2b-256 6c17e3b28d5df4d9842fbf787c513ea3eb0ca74544eb3406b8206b677ae4f5cc

See more details on using hashes here.

File details

Details for the file tiledb-0.13.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: tiledb-0.13.3-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-0.13.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 0929c41e5af6e2e20f4fdb7d69c0a96047214deee0541a50a40584d56e900bad
MD5 c6129e6ddc23f905f8b845868defc64a
BLAKE2b-256 3dc6cd1f37e038b0d44b776d578f69acf147f20642fde6b12565aa0f2fc84041

See more details on using hashes here.

File details

Details for the file tiledb-0.13.3-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.13.3-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 5209762f04284788646c245926b5481bc9e117582af15a72661d993fa9bc7012
MD5 368e69b64383022664b7cccedc49e4a9
BLAKE2b-256 1b79b63269361ef55774f37a7e9fd3480cb5d0a7288c558c35db8c6a7a58ee2d

See more details on using hashes here.

File details

Details for the file tiledb-0.13.3-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.13.3-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 c796fb939faa41f636cfb1c32f8f62526408c8cdf3fb891da2a1d4255b3f957b
MD5 7f64f965a3a159d281f17ef74e7c2fc9
BLAKE2b-256 aaa4963e75bf853198e2c158d163ccd95926ccac87e88d712ab3437882a46627

See more details on using hashes here.

File details

Details for the file tiledb-0.13.3-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.13.3-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 1bfb2c43c244c7e49fa5754c280c6f0edd43cc3fb59002e69d733a4a5ef32dca
MD5 4f3228d5210bb7416ec02cb23bf23bf2
BLAKE2b-256 36375ec47d24dc1debf2f452ea15d8fadb84fc3544bbba86e701c1dd8bff1cbf

See more details on using hashes here.

File details

Details for the file tiledb-0.13.3-cp36-cp36m-macosx_10_14_x86_64.whl.

File metadata

File hashes

Hashes for tiledb-0.13.3-cp36-cp36m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 b0dcf41bd019ba20259ae127bf72eadb14a4b476bc1bffb4f5d308bf900c6943
MD5 80578a689f31e65dbad9f7e163e89592
BLAKE2b-256 bb1b60838e36497876ee94dbb75265b149114425a0658f9b0f71fec6a63e2865

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